{"meta":{"query_hash":"64a97c1d640f","filters":{"venue":"International Journal of Financial Studies"},"cohort_total":32,"direct_labels_cover":0,"predictions_cover":32,"exported":32,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/64a97c1d640f","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Financial+Studies"},"results":[{"id":"W1951028544","doi":"10.3390/ijfs3030351","title":"The Swiss Black Swan Bad Scenario: Is Switzerland Another Casualty of the Eurozone Crisis?","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Economic and Social Research Council","keywords":"Diversification (marketing strategy); Black swan theory; Financial crisis; Hedge fund; Business; Financial system; Economics; Finance; Macroeconomics","score_opus":0.06386290513873942,"score_gpt":0.29756373873833136,"score_spread":0.23370083359959193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1951028544","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76546025,0.01297259,0.00094767526,0.13557246,0.001241328,0.0000203132,0.0018251736,0.00014562054,0.08181458],"genre_scores_gemma":[0.9925804,0.0023675095,0.00010361617,0.0023651964,0.00024070812,0.0000058252112,0.00031547112,0.000023549645,0.0019976757],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997129,0.00009215144,0.000009262664,0.00003121681,0.000052768242,0.000101662634],"domain_scores_gemma":[0.99952555,0.000074124786,0.00015384168,0.00002666419,0.00007783866,0.00014207962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005733808,0.00036172403,0.00020117826,0.0006804441,0.0013524399,0.0035073662,0.00020237397,0.0017847627,0.003699415],"category_scores_gemma":[0.0014249954,0.00013784009,0.00018916703,0.00077030784,0.0016964556,0.0027891276,0.0013472307,0.0015841245,0.00039623887],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002745587,0.00018023806,0.2775565,0.00072379224,0.00038772728,0.02132766,0.017213656,0.013604273,0.0027447988,0.19277251,0.37943488,0.09130838],"study_design_scores_gemma":[0.00023304946,0.00041842106,0.5153502,0.0016124347,0.00019150082,0.0058469153,0.056939654,0.014327465,0.0019973253,0.09538635,0.3072557,0.00044094966],"about_ca_topic_score_codex":0.028436039,"about_ca_topic_score_gemma":0.030513315,"teacher_disagreement_score":0.028436039,"about_ca_system_score_codex":0.0017012446,"about_ca_system_score_gemma":0.0008325664,"threshold_uncertainty_score":0.056541026},"labels":[],"label_agreement":null},{"id":"W2133260261","doi":"10.3390/ijfs1030102","title":"The Influence of Marketing Scholarship’s Legacy on Nonprofit Marketing","year":2013,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"Management and Marketing Education","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Scholarship; Marketing science; Marketing; Public relations; Order (exchange); Public Sector Marketing; Marketing management; Relationship marketing; Marketing research; Sociology; Business marketing; Social marketing; Return on marketing investment; Political science; Business","score_opus":0.018890565165623603,"score_gpt":0.2794203960120161,"score_spread":0.26052983084639253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133260261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7218589,0.009270159,0.0032009524,0.09359288,0.0011731152,0.00006851748,0.00004495865,0.000043777436,0.17074667],"genre_scores_gemma":[0.9941089,0.0009196086,0.00027290153,0.0019475969,0.0002935542,0.0000138372525,0.0000057548614,0.00002179084,0.0024161383],"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9744742,0.017629625,0.00053701445,0.0011372461,0.0045715407,0.0016503921],"domain_scores_gemma":[0.89159936,0.08494325,0.0068414896,0.0032213763,0.006686334,0.006708252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.039714586,0.00019519318,0.0005518316,0.0034027821,0.01810401,0.021221012,0.0013653147,0.0022565091,0.004696087],"category_scores_gemma":[0.06440028,0.0003021006,0.00021086898,0.0034682571,0.038671743,0.014852266,0.012417959,0.0055667036,0.00028756383],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031357617,0.00009353052,0.007278898,0.00017565762,0.000007920089,0.00059684104,0.50024635,0.000065032196,0.00027619413,0.45926422,0.0041774944,0.027786596],"study_design_scores_gemma":[0.000018646535,0.00010978749,0.008897542,0.0011851905,0.000014989185,0.00053782534,0.70013434,0.00026890382,0.0005298059,0.07328181,0.21497574,0.00004539535],"about_ca_topic_score_codex":0.0038631875,"about_ca_topic_score_gemma":0.0068698716,"teacher_disagreement_score":0.039714586,"about_ca_system_score_codex":0.012340394,"about_ca_system_score_gemma":0.016219389,"threshold_uncertainty_score":0.21003336},"labels":[],"label_agreement":null},{"id":"W2159061403","doi":"10.3390/ijfs3030319","title":"Forecasting Returns with Fundamentals-Removed Investor Sentiment","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"Index (typography); Irrational number; Economics; Financial economics; Econometrics; Computer science; Mathematics","score_opus":0.13948865560051094,"score_gpt":0.2808590814084836,"score_spread":0.14137042580797266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159061403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879204,0.00028728507,0.009034022,0.00030514563,0.000041697505,0.000018344881,0.0004364736,0.0001305467,0.0018259732],"genre_scores_gemma":[0.9964154,0.00013189409,0.0023160013,0.0000174983,0.00005185371,0.0000040737737,0.00060925464,0.000006350459,0.00044768525],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997023,0.00006674514,0.000019492732,0.000068476096,0.00008367302,0.000059256716],"domain_scores_gemma":[0.99847704,0.0006401679,0.00034384517,0.000098647535,0.00027882686,0.00016133519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001247252,0.00060222525,0.0005140483,0.0012752224,0.00013845554,0.00087869435,0.0004069859,0.0005842909,0.00086191884],"category_scores_gemma":[0.0067800796,0.00028679063,0.00036250055,0.00086852326,0.00016665214,0.0010643379,0.00043405293,0.0008361019,0.0004486371],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010916466,0.00054015644,0.4766744,0.000075460724,0.00036648635,0.0005061236,0.00011338924,0.36482075,0.006614422,0.0066126366,0.0074773375,0.13510719],"study_design_scores_gemma":[0.000030429293,0.000110280416,0.051942088,0.0000072772577,0.000022321776,0.000024301708,0.000021006037,0.9452904,0.0008367095,0.0013236352,0.0003791589,0.000012419675],"about_ca_topic_score_codex":0.010622841,"about_ca_topic_score_gemma":0.008388212,"teacher_disagreement_score":0.010622841,"about_ca_system_score_codex":0.0004915159,"about_ca_system_score_gemma":0.00031985765,"threshold_uncertainty_score":0.021121979},"labels":[],"label_agreement":null},{"id":"W2786815773","doi":"10.3390/ijfs6010010","title":"Revisiting M&amp;M with Taxes: An Alternative Equilibrating Process","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Peking University; Fudan University; HSBC Bank USA","keywords":"Economics; Capital structure; Miller; Equity (law); Arbitrage; Debt; Value (mathematics); Private equity; Monetary economics; Microeconomics; Financial economics; Finance","score_opus":0.04977688083681193,"score_gpt":0.31752356074320304,"score_spread":0.2677466799063911,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786815773","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18221095,0.000968817,0.7357798,0.0054758973,0.0002009233,0.00024284494,0.000125367,0.00024734903,0.0747481],"genre_scores_gemma":[0.92679054,0.00039005137,0.057044644,0.0004453662,0.00012618901,0.00008933228,0.00003104134,0.000090545254,0.01499227],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99774504,0.00075389474,0.00011197371,0.00053329725,0.0005078132,0.00034809476],"domain_scores_gemma":[0.99667716,0.0015988662,0.0005594353,0.00062060164,0.0003252829,0.00021862198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034635356,0.00055549684,0.00094433205,0.0009421069,0.0013087846,0.0038468644,0.0021677488,0.0028689927,0.009091492],"category_scores_gemma":[0.0152606275,0.00044721656,0.001475532,0.00094757206,0.0039709983,0.0071175923,0.0042450284,0.003308502,0.001129096],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006748394,0.00006665715,0.00063846883,0.000046510057,0.000016064525,0.0002516296,0.0003980195,0.015801532,0.0022637185,0.9643003,0.00051274063,0.01563697],"study_design_scores_gemma":[0.000050753348,0.000091255795,0.0005168714,0.00003077219,0.000019132267,0.00012437766,0.0001300849,0.13036823,0.002503167,0.85933834,0.006795857,0.00003110554],"about_ca_topic_score_codex":0.0017933071,"about_ca_topic_score_gemma":0.0010118393,"teacher_disagreement_score":0.009091492,"about_ca_system_score_codex":0.0023078092,"about_ca_system_score_gemma":0.0016071766,"threshold_uncertainty_score":0.030414104},"labels":[],"label_agreement":null},{"id":"W2789002245","doi":"10.3390/ijfs6010012","title":"On the Impact of Policy Uncertainty on Oil Prices: An Asymmetry Analysis","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Distributed lag; Economics; China; Autoregressive model; Short run; Econometrics; Oil price; Macroeconomics; Monetary economics","score_opus":0.04443227111628371,"score_gpt":0.34240126434926504,"score_spread":0.2979689932329813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789002245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87805206,0.00279004,0.0651106,0.0051852344,0.00015325536,0.00014525611,0.00096022355,0.00013659649,0.047466747],"genre_scores_gemma":[0.99758184,0.0006441243,0.00080939813,0.00011043117,0.00007053488,0.000012404375,0.00008657161,0.000011672898,0.0006731031],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9984988,0.0006075669,0.00010435623,0.00015990846,0.00033932718,0.00029002083],"domain_scores_gemma":[0.96149945,0.03101761,0.004577759,0.0010703257,0.0013913015,0.00044352008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058755656,0.0004089604,0.0009105244,0.0017482452,0.0004707194,0.002419562,0.00056601106,0.0012740478,0.0053047175],"category_scores_gemma":[0.026601804,0.00026218183,0.00123748,0.0012069587,0.0012136248,0.0032472569,0.0015696663,0.0023032068,0.00027405279],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011767932,0.00043633152,0.11916149,0.0005912104,0.0010340345,0.0029956414,0.0009415697,0.3657823,0.008147992,0.4115423,0.005844477,0.08234591],"study_design_scores_gemma":[0.00012161342,0.0004147805,0.075592734,0.00017569643,0.0010838506,0.00043205664,0.0013291659,0.6571261,0.0041790907,0.2550408,0.0043210485,0.00018297507],"about_ca_topic_score_codex":0.005266857,"about_ca_topic_score_gemma":0.0019851697,"teacher_disagreement_score":0.0058755656,"about_ca_system_score_codex":0.0010932366,"about_ca_system_score_gemma":0.0009925904,"threshold_uncertainty_score":0.031073391},"labels":[],"label_agreement":null},{"id":"W2885846867","doi":"10.3390/ijfs6030071","title":"Revenue Sharing in Major League Baseball: The Moments That Meant so Much","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of Lethbridge","funders":"","keywords":"Revenue sharing; Revenue; League; Profitability index; Order (exchange); Economics; Business; Microeconomics; Variance (accounting); Finance; Accounting","score_opus":0.07776552914536083,"score_gpt":0.30010533125625005,"score_spread":0.22233980211088922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885846867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96714795,0.00055143354,0.009784558,0.00096455077,0.00011008357,0.000056619712,0.00030601383,0.00008714633,0.020991629],"genre_scores_gemma":[0.9980969,0.000052507643,0.00055481633,0.00006261919,0.000026257889,0.000010098364,0.000058257898,0.000008610972,0.0011299029],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99838674,0.00056301383,0.00005988894,0.00024898147,0.00029264114,0.00044879198],"domain_scores_gemma":[0.9923618,0.0027976406,0.002466377,0.0007438157,0.0005882431,0.0010419869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023781112,0.0004009777,0.00047914515,0.000533452,0.00089419,0.0021085117,0.0008044423,0.00064829877,0.0062218644],"category_scores_gemma":[0.013199871,0.00015873501,0.0005040459,0.00058167655,0.0011020241,0.001212414,0.0016483049,0.0014036348,0.00054731494],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007121331,0.0033423703,0.3540721,0.0006099957,0.00060361775,0.0013863202,0.0034295234,0.097146966,0.02028154,0.14040743,0.015385162,0.35621366],"study_design_scores_gemma":[0.00029240106,0.005490358,0.6768444,0.000502527,0.00041530677,0.0012158441,0.012807065,0.09301006,0.020863054,0.14348486,0.04475182,0.000322262],"about_ca_topic_score_codex":0.0043100324,"about_ca_topic_score_gemma":0.008529854,"teacher_disagreement_score":0.0062218644,"about_ca_system_score_codex":0.001913343,"about_ca_system_score_gemma":0.0010500397,"threshold_uncertainty_score":0.02081418},"labels":[],"label_agreement":null},{"id":"W2896396054","doi":"10.3390/ijfs6040084","title":"Estimating Major Risk Factor Relativities in Rate Filings Using Generalized Linear Models","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Toronto Metropolitan University","funders":"","keywords":"Benchmark (surveying); Econometrics; Generalized linear model; Actuarial science; Computer science; Economics; Machine learning","score_opus":0.23747239888509525,"score_gpt":0.44526653321449944,"score_spread":0.2077941343294042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896396054","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4388492,0.0016060026,0.5520377,0.0012084893,0.00014219819,0.00045386452,0.0014073058,0.0007360315,0.003559257],"genre_scores_gemma":[0.93353945,0.0005284605,0.0630036,0.000077297154,0.00011002676,0.00024241892,0.0012744031,0.000060689228,0.0011635703],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98085815,0.01092775,0.0014823633,0.0030515487,0.003067895,0.0006122206],"domain_scores_gemma":[0.85577756,0.114601545,0.017453164,0.0061681615,0.0054299496,0.0005695759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.033194404,0.0010238625,0.0017180698,0.0060297432,0.0007241457,0.0031958413,0.0017428343,0.0012711715,0.0023768276],"category_scores_gemma":[0.118598945,0.0006055422,0.002828101,0.005416142,0.0012139312,0.0030828612,0.0019515881,0.0028895207,0.00058039615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006395673,0.0003156123,0.35165662,0.0008067582,0.0021619834,0.0007996296,0.002436667,0.3271277,0.001472039,0.06518471,0.0040367255,0.24336207],"study_design_scores_gemma":[0.000028373512,0.00047886834,0.08748578,0.00023469106,0.0005200715,0.00025254837,0.0011146858,0.8345201,0.0012171693,0.06983423,0.0041298224,0.00018366032],"about_ca_topic_score_codex":0.008009834,"about_ca_topic_score_gemma":0.0065960707,"teacher_disagreement_score":0.033194404,"about_ca_system_score_codex":0.0018461962,"about_ca_system_score_gemma":0.0017487487,"threshold_uncertainty_score":0.17555088},"labels":[],"label_agreement":null},{"id":"W2917100793","doi":"10.3390/ijfs7010012","title":"Attendance in the Canadian Hockey League: The Impact of Winning, Fighting, Uncertainty of Outcome, and Weather on Junior Hockey Attendance","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Attendance; League; Outcome (game theory); Advertising; Psychology; Demographic economics; Business; Economics; Economic growth","score_opus":0.044593317414522715,"score_gpt":0.3086568087347297,"score_spread":0.264063491320207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917100793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895723,0.00028143436,0.0010038867,0.0009102531,0.00003950182,0.00005557718,0.0033462269,0.000036173282,0.004754678],"genre_scores_gemma":[0.9918035,0.00019306794,0.00024657947,0.00006149045,0.000014317035,0.000025640122,0.0025674698,0.00000841517,0.005079445],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99895453,0.00014401646,0.000026728498,0.00013683704,0.00015461074,0.00058333686],"domain_scores_gemma":[0.9956891,0.0015463261,0.0006685699,0.00012405076,0.000497773,0.0014741166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00214058,0.0010909406,0.0009444899,0.0007221688,0.0014969085,0.0034785944,0.002766071,0.001494266,0.008664281],"category_scores_gemma":[0.0041197,0.0004075339,0.0013457584,0.0009822292,0.0011921296,0.00057944626,0.0014953812,0.002384794,0.00072318333],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027585302,0.00091863656,0.6302764,0.00014280656,0.00047775486,0.0006895516,0.00051219476,0.32889664,0.0010610635,0.009252479,0.0122161135,0.012797881],"study_design_scores_gemma":[0.00022960636,0.00066673436,0.45271853,0.00009932754,0.00039723306,0.000086699154,0.002366081,0.53617346,0.00052672956,0.0025331795,0.0040164385,0.00018591955],"about_ca_topic_score_codex":0.9373197,"about_ca_topic_score_gemma":0.921588,"teacher_disagreement_score":0.062680304,"about_ca_system_score_codex":0.012371986,"about_ca_system_score_gemma":0.012462991,"threshold_uncertainty_score":0.12609881},"labels":[],"label_agreement":null},{"id":"W2946975908","doi":"10.3390/ijfs7020026","title":"Stock Market Analysis: A Review and Taxonomy of Prediction Techniques","year":2019,"lang":"en","type":"review","venue":"International Journal of Financial Studies","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":456,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Stock (firearms); Stock market; Voting; Stock market bubble; Stock market prediction; Financial economics; Computer science; Economics; Econometrics; Engineering","score_opus":0.30251073791625,"score_gpt":0.5024034625427622,"score_spread":0.19989272462651225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946975908","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00086615485,0.99077046,0.0041130017,0.0010870182,0.00038379602,0.00003700339,0.00020769962,0.00006174237,0.0024731727],"genre_scores_gemma":[0.004780402,0.9881712,0.005011147,0.00023998512,0.0007781456,0.00003533012,0.0002560404,0.000009731752,0.0007180149],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99921954,0.00011524879,0.00013314724,0.00013585975,0.00035909464,0.000037035345],"domain_scores_gemma":[0.99681,0.0021349404,0.00022685932,0.00007704475,0.0006836217,0.00006748767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020424954,0.0011054475,0.0012473114,0.0056089885,0.00031906698,0.0016788266,0.001598372,0.0010568806,0.0032240867],"category_scores_gemma":[0.005429227,0.00037004868,0.000918488,0.006559938,0.00050133554,0.002524669,0.0006150722,0.0012782612,0.0017268083],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053435022,0.00009817862,0.0020683839,0.009489427,0.00012386334,0.00011057969,0.00008202771,0.0014393107,0.0004713603,0.0068313843,0.02150123,0.9577309],"study_design_scores_gemma":[0.000044560362,0.00033765883,0.010470763,0.018863166,0.000652,0.001583348,0.00030228312,0.008679594,0.0018707222,0.02543969,0.93157774,0.00017842988],"about_ca_topic_score_codex":0.0028826457,"about_ca_topic_score_gemma":0.0024757406,"teacher_disagreement_score":0.0056089885,"about_ca_system_score_codex":0.00068937894,"about_ca_system_score_gemma":0.0015040032,"threshold_uncertainty_score":0.010801911},"labels":[],"label_agreement":null},{"id":"W3015733426","doi":"10.3390/ijfs8020023","title":"Improving Supply Chain Profit through Reverse Factoring: A New Multi-Suppliers Single-Vendor Joint Economic Lot Size Model","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Università degli Studi di Brescia","keywords":"Factoring; Supply chain; Vendor; Business; Payment; Financial institution; Profit (economics); Industrial organization; Economics; Finance; Microeconomics; Marketing","score_opus":0.11671664525389068,"score_gpt":0.2804659336091935,"score_spread":0.16374928835530278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015733426","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.067912415,0.0007575306,0.9120488,0.0008021838,0.00010264614,0.00020333572,0.00024979375,0.00029441738,0.017628903],"genre_scores_gemma":[0.9369299,0.0007539827,0.049993515,0.00014338312,0.000054944005,0.0002210998,0.00013709272,0.00007335259,0.011692694],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999032,0.00039016682,0.000035188852,0.00015868762,0.00019217122,0.00019174634],"domain_scores_gemma":[0.99787104,0.0011483972,0.0003296023,0.00014326812,0.00030136397,0.00020634722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026761568,0.0013120008,0.0014949249,0.0010698283,0.0006275324,0.0020820333,0.0030759398,0.0021317676,0.006105931],"category_scores_gemma":[0.0037552547,0.0008519678,0.0016853743,0.0011524338,0.0018851039,0.0031484207,0.001766068,0.0015415767,0.0005822248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005384073,0.00003877155,0.00029064057,0.00003133116,0.000017477476,0.00008490838,0.000027462958,0.9776047,0.0004532402,0.017910825,0.00034676545,0.0031400379],"study_design_scores_gemma":[0.000013089339,0.000040265706,0.000069010675,0.0000048651877,0.000011827431,0.000017137227,0.000008964962,0.9943047,0.0000846106,0.005088499,0.00034810606,0.000008873658],"about_ca_topic_score_codex":0.006306793,"about_ca_topic_score_gemma":0.0035510662,"teacher_disagreement_score":0.006306793,"about_ca_system_score_codex":0.0023437634,"about_ca_system_score_gemma":0.0021797596,"threshold_uncertainty_score":0.020426393},"labels":[],"label_agreement":null},{"id":"W4221041106","doi":"10.3390/ijfs10020023","title":"Toxic Asset Subsidies and the Early Redemption of TALF Loans","year":2022,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Asset (computer security); Loan; Subsidy; Business; Monetary economics; Investment (military); Quarter (Canadian coin); Financial system; Finance; Economics; Market economy","score_opus":0.03437917513075014,"score_gpt":0.24952857941549036,"score_spread":0.21514940428474022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221041106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914267,0.00016197324,0.0049076243,0.00016696063,0.0000058071764,0.000014452014,0.00012742679,0.000031250634,0.0031578748],"genre_scores_gemma":[0.9987405,0.00005239519,0.00048313822,0.000009457754,0.000004003672,0.0000048857178,0.000065324064,0.0000018441452,0.0006383991],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99974424,0.00004540052,0.000014772758,0.000034433226,0.000095225994,0.00006590365],"domain_scores_gemma":[0.9968843,0.0011208591,0.001557509,0.00008221083,0.00019417601,0.00016091511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060850295,0.00012142916,0.00017068016,0.0005318695,0.00020131354,0.00060455437,0.00029116205,0.0003467891,0.002354515],"category_scores_gemma":[0.0070221885,0.00013126979,0.00016192703,0.00026545924,0.00032689856,0.000545599,0.0004042982,0.0006320869,0.00021714157],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002277829,0.00014490557,0.8840653,0.00004621604,0.000039869563,0.00051880535,0.00038266406,0.044080578,0.0020052695,0.01573696,0.0017614242,0.05099022],"study_design_scores_gemma":[0.00002857258,0.00017367463,0.8599037,0.000047782305,0.000026994916,0.00040567925,0.00032015095,0.123908184,0.0023409906,0.008369502,0.0044454113,0.000029464562],"about_ca_topic_score_codex":0.008847197,"about_ca_topic_score_gemma":0.0108288275,"teacher_disagreement_score":0.008847197,"about_ca_system_score_codex":0.0009409223,"about_ca_system_score_gemma":0.000502956,"threshold_uncertainty_score":0.017591417},"labels":[],"label_agreement":null},{"id":"W4223562842","doi":"10.3390/ijfs10020026","title":"The Moderating Effects of Host Country Governance and Trade Openness on the Relationship between Cultural Distance and Financial Performance of Foreign Subsidiaries in Latin America","year":2022,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Openness to experience; Subsidiary; Business; Host (biology); Corporate governance; International economics; International trade; Economics; Multinational corporation; Finance","score_opus":0.024053416685854822,"score_gpt":0.25044724060372503,"score_spread":0.22639382391787022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4223562842","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99830794,0.00009312255,0.000028876151,0.00010950973,0.0000014944485,0.0000016865016,0.000034702174,0.0000017911623,0.001420878],"genre_scores_gemma":[0.99961334,0.00008116031,0.000019157405,0.0000122676865,0.0000027262708,0.0000014928136,0.000053047454,0.0000010653791,0.00021571967],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99974495,0.000084777115,0.000018158325,0.000041366857,0.00002494987,0.00008584444],"domain_scores_gemma":[0.99701226,0.0008741781,0.0012782564,0.00013935655,0.00022792337,0.0004679805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005970815,0.00011848118,0.00017005959,0.0005208014,0.0002962332,0.0012148058,0.00018980933,0.0001975957,0.0027349112],"category_scores_gemma":[0.002908578,0.000065779466,0.00016421174,0.000811371,0.0006507306,0.00048383226,0.0008344321,0.00036229362,0.00012828007],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005768804,0.00006652085,0.9940897,0.000012341541,0.000030850453,0.00015002547,0.0006761755,0.00022029299,0.00024766955,0.0005567784,0.00018596459,0.0037060853],"study_design_scores_gemma":[0.000007580536,0.000024130397,0.9968464,0.000023755067,0.00001943727,0.00004835978,0.0019277945,0.00024694874,0.00007922457,0.00018974398,0.0005841425,0.0000024630965],"about_ca_topic_score_codex":0.020395735,"about_ca_topic_score_gemma":0.022462629,"teacher_disagreement_score":0.020395735,"about_ca_system_score_codex":0.00059685734,"about_ca_system_score_gemma":0.0004896286,"threshold_uncertainty_score":0.040554047},"labels":[],"label_agreement":null},{"id":"W4296448247","doi":"10.3390/ijfs10030082","title":"On the Role of Gender and Age in the Use of Digital Financial Services in Zimbabwe","year":2022,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Financial inclusion; Mobile payment; Payment; Financial services; Quarter (Canadian coin); Business; Goods and services; Population; Demographic economics; Low income; Sample (material); Economic growth; Economics; Geography; Finance; Demography; Sociology","score_opus":0.0700220911742562,"score_gpt":0.25899257589280456,"score_spread":0.18897048471854835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296448247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997964,0.00047479698,0.000053347256,0.00034135586,0.000005133632,0.000009153041,0.00014813412,9.429654e-7,0.0010031571],"genre_scores_gemma":[0.9993893,0.00019847418,0.000022647568,0.00002254482,0.0000022106772,0.000003510898,0.000036450005,6.8427175e-7,0.00032415523],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923086,0.00026349782,0.000039389528,0.00005389787,0.00007725883,0.00033504382],"domain_scores_gemma":[0.9979426,0.0008681941,0.0007352737,0.00007098073,0.0001319137,0.00025093197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010072087,0.00021983785,0.00022520217,0.0010303829,0.0009261699,0.0011743265,0.00035790977,0.0003574992,0.00351376],"category_scores_gemma":[0.0054698917,0.000205651,0.00035508283,0.001278195,0.00068958034,0.00087489234,0.00093065435,0.00059976586,0.00025110034],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005303516,0.000036649562,0.9886895,0.000017240014,0.000026064681,0.00017984236,0.005137124,0.000046914593,0.00014001822,0.0004464982,0.00020752978,0.005019602],"study_design_scores_gemma":[0.0000020597217,0.00003085968,0.9911226,0.000047675814,0.000024773453,0.00006049499,0.007589831,0.0002568742,0.000053987256,0.00008470795,0.0007214194,0.000004698712],"about_ca_topic_score_codex":0.1436309,"about_ca_topic_score_gemma":0.2138299,"teacher_disagreement_score":0.1436309,"about_ca_system_score_codex":0.0010180629,"about_ca_system_score_gemma":0.0007305524,"threshold_uncertainty_score":0.2855898},"labels":[],"label_agreement":null},{"id":"W4311960483","doi":"10.3390/ijfs10040113","title":"Relationship between Stock Returns and Trading Volume at the Bourse Régionale des Valeurs Mobilières, West Africa","year":2022,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Econometrics; Autoregressive model; Autoregressive conditional heteroskedasticity; Economics; Stock (firearms); Heteroscedasticity; Stock market index; Index (typography); Financial economics; Stock market; Computer science; Volatility (finance); Geography","score_opus":0.11678678071261936,"score_gpt":0.28255855544719577,"score_spread":0.1657717747345764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311960483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998987,0.00021954594,0.000041654133,0.00002118338,0.0000022338534,0.0000011048426,0.00025828628,0.0000017623405,0.00046707067],"genre_scores_gemma":[0.9990465,0.00015479892,0.00006818,0.0000025311556,0.0000050060903,0.0000014328895,0.000296781,8.4279816e-7,0.00042392866],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999869,0.000024543251,0.000012712367,0.000028744525,0.000028931843,0.000035980927],"domain_scores_gemma":[0.9993309,0.00016788134,0.00036100094,0.00001925161,0.00007429972,0.000046709574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025257174,0.00016758432,0.00015016909,0.0010297108,0.00011509228,0.00062603515,0.00014081082,0.00013911631,0.0010762285],"category_scores_gemma":[0.0011840893,0.00007005865,0.00013825131,0.0008975202,0.0001132117,0.00030916405,0.00021822187,0.00015996653,0.00017255313],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000109719855,0.000024695857,0.9868035,0.000034201665,0.000068860936,0.00046535823,0.0004849438,0.00088409544,0.0011177958,0.00029811414,0.00027198665,0.00943682],"study_design_scores_gemma":[0.0000029858495,0.000029394616,0.99691784,0.00001694195,0.000016603952,0.00020742862,0.00063139194,0.0007983111,0.00030458497,0.000048516522,0.001021653,0.000004246537],"about_ca_topic_score_codex":0.022165395,"about_ca_topic_score_gemma":0.026697889,"teacher_disagreement_score":0.022165395,"about_ca_system_score_codex":0.00043008494,"about_ca_system_score_gemma":0.00019723672,"threshold_uncertainty_score":0.044072747},"labels":[],"label_agreement":null},{"id":"W4319440041","doi":"10.3390/ijfs11010031","title":"Behavior of Banks’ Stock Market Prices during Long-Term Crises","year":2023,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"Royal Bank of Canada","keywords":"Closing (real estate); Recession; Economics; Financial crisis; Stock market; Stock (firearms); Portfolio; Index (typography); Monetary economics; Investment (military); Financial system; Financial economics; Finance; Macroeconomics; Geography","score_opus":0.05952865835062395,"score_gpt":0.31361210071743356,"score_spread":0.25408344236680963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319440041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987903,0.000032921023,0.000049820414,0.000038353006,0.0000018723421,0.0000027342858,0.00017719949,0.0000037979219,0.00090304017],"genre_scores_gemma":[0.99948835,0.000028898166,0.000030023704,0.0000055395444,0.0000011718165,0.0000011393131,0.00017901242,7.4708004e-7,0.00026505845],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997882,0.000019202595,0.0000123072405,0.000025966618,0.00009580544,0.00005850981],"domain_scores_gemma":[0.9984688,0.00026346638,0.0004176764,0.000045729746,0.00057786907,0.0002264032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035523606,0.00012536357,0.00019229166,0.000764115,0.00038647823,0.00079590094,0.00021551808,0.00024791175,0.00097298645],"category_scores_gemma":[0.002994803,0.000089674715,0.00011624611,0.0008132546,0.00024453548,0.00028845487,0.00022610385,0.00029963232,0.00016794346],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026787267,0.00006235961,0.9800858,0.000018029996,0.000071252776,0.0002753099,0.0010146681,0.0024413369,0.0031725185,0.0005549842,0.0013936702,0.01064228],"study_design_scores_gemma":[0.0000022816637,0.000021320477,0.99673873,0.0000026668126,0.0000069360385,0.000032326945,0.0004526108,0.0021063306,0.0002505626,0.00005449486,0.00032604343,0.000005809665],"about_ca_topic_score_codex":0.29001582,"about_ca_topic_score_gemma":0.34509838,"teacher_disagreement_score":0.29001582,"about_ca_system_score_codex":0.0016235798,"about_ca_system_score_gemma":0.0008984516,"threshold_uncertainty_score":0.5766555},"labels":[],"label_agreement":null},{"id":"W4361306169","doi":"10.3390/ijfs11020055","title":"Valuing Exchange Options under an Ornstein-Uhlenbeck Covariance Model","year":2023,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Ornstein–Uhlenbeck process; Covariance; Applied mathematics; Mathematics; Derivative (finance); Inverse Gaussian distribution; Gaussian; Monte Carlo method; Econometrics; Lévy process; Economics; Statistical physics; Stochastic process; Financial economics; Mathematical analysis; Physics; Statistics","score_opus":0.136948758722158,"score_gpt":0.33508222603637433,"score_spread":0.19813346731421633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361306169","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32146657,0.00047973453,0.67444026,0.0006058814,0.000053539767,0.000031842195,0.000047010733,0.000105997926,0.0027691603],"genre_scores_gemma":[0.96940583,0.00028774442,0.027180007,0.000059398557,0.000041818297,0.000031051626,0.00005184482,0.000036463578,0.0029057648],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987477,0.0006194044,0.00005489904,0.00015252191,0.00029295756,0.00013243878],"domain_scores_gemma":[0.9963588,0.0025641357,0.00041391837,0.00013616425,0.00021736919,0.00030953376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046592234,0.00083483604,0.001682728,0.00085966865,0.000636668,0.0025896179,0.0012965284,0.002890533,0.0014163507],"category_scores_gemma":[0.012688362,0.0006179172,0.0011870159,0.0008402906,0.0022449754,0.005453287,0.0018725548,0.0021354416,0.00016912879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009987687,0.00007217528,0.0023008941,0.00004434546,0.00006185678,0.00034256943,0.0000991346,0.7110377,0.0021386144,0.27932534,0.00014871806,0.0043288097],"study_design_scores_gemma":[0.000009982643,0.000022870056,0.00018944823,0.000004093885,0.000005205766,0.000029020372,0.000012285326,0.95544255,0.00018224932,0.044015843,0.00007216529,0.000014212113],"about_ca_topic_score_codex":0.0039416775,"about_ca_topic_score_gemma":0.0019990099,"teacher_disagreement_score":0.0046592234,"about_ca_system_score_codex":0.0012953498,"about_ca_system_score_gemma":0.0015485096,"threshold_uncertainty_score":0.02464062},"labels":[],"label_agreement":null},{"id":"W4381663887","doi":"10.3390/ijfs11020080","title":"The Interplay of Formal Institutional and Cultural Distances and the Financial Performance of Foreign Subsidiaries in Latin America","year":2023,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Subsidiary; Latin Americans; Hofstede's cultural dimensions theory; Business; Host (biology); Scale (ratio); Developing country; Dimension (graph theory); Emerging markets; Economic geography; International economics; Financial system; Economics; Finance; Political science; Multinational corporation; Economic growth; Social psychology; Psychology; Geography; Biology","score_opus":0.01509546762408638,"score_gpt":0.2619369378085252,"score_spread":0.24684147018443886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381663887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974446,0.00010884833,0.000045668683,0.00011655325,0.0000018846338,0.0000025595405,0.000054861353,0.0000016249226,0.0022233953],"genre_scores_gemma":[0.99952674,0.000066922,0.000038711838,0.000015692094,0.0000036331305,0.0000032408107,0.00008005826,9.3755887e-7,0.00026413094],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99960715,0.00013852846,0.00003229552,0.00005644963,0.000050151637,0.0001154395],"domain_scores_gemma":[0.99517596,0.0010467911,0.0024699862,0.0002437059,0.00039839424,0.0006651347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009720512,0.00017343431,0.00020238728,0.00090175046,0.0003890462,0.0016958105,0.00025250023,0.00025622596,0.0023412737],"category_scores_gemma":[0.004173862,0.00006106036,0.00013042311,0.0012325282,0.00074241444,0.00069391786,0.0012451154,0.0003334596,0.00015841523],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037908205,0.00007871583,0.99094874,0.000018988741,0.000029346853,0.00010409077,0.0011397495,0.0003016888,0.00016361618,0.00081620907,0.00019844,0.0061625764],"study_design_scores_gemma":[0.000008459787,0.00003720805,0.9935946,0.00004122348,0.000016847336,0.000044422814,0.00437524,0.00030174427,0.000083490486,0.00034524756,0.0011461735,0.000005315779],"about_ca_topic_score_codex":0.020663882,"about_ca_topic_score_gemma":0.024066579,"teacher_disagreement_score":0.020663882,"about_ca_system_score_codex":0.0008426592,"about_ca_system_score_gemma":0.0007061592,"threshold_uncertainty_score":0.04108721},"labels":[],"label_agreement":null},{"id":"W4387672778","doi":"10.3390/ijfs11040122","title":"Blockholdings, Dividend Policy, Stock Returns and Return Volatility: Evidence from the UAE","year":2023,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Dividend; Stock (firearms); Dividend policy; Volatility (finance); Monetary economics; Business; Economics; Financial economics; Finance","score_opus":0.0724704468948138,"score_gpt":0.3093424886241471,"score_spread":0.2368720417293333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387672778","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99893826,0.00026232586,0.00002817336,0.000064454835,0.000001758068,0.000002278557,0.00006461813,8.1027645e-7,0.00063737563],"genre_scores_gemma":[0.9992423,0.00035696282,0.000046599722,0.000026428037,0.000009170003,0.0000018305319,0.000102077494,5.6123486e-7,0.0002140913],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997291,0.000115702576,0.000019572275,0.000028287963,0.000054536256,0.000052770407],"domain_scores_gemma":[0.9975318,0.0008371264,0.0010541681,0.000110040346,0.00024648584,0.00022028301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006260808,0.00018089057,0.0002875567,0.0010126112,0.0004570599,0.0008710091,0.00021691395,0.0003598289,0.0015407498],"category_scores_gemma":[0.0020693769,0.00016269933,0.00016218601,0.0010024217,0.00056768674,0.00046237587,0.0006165419,0.00033474545,0.00029724545],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000114286275,0.0001936963,0.98981375,0.000039634342,0.00009223393,0.00030868477,0.0015192064,0.000105160914,0.00041242625,0.00036597825,0.00022384553,0.00681115],"study_design_scores_gemma":[0.000007438466,0.00011483665,0.99497414,0.000027860553,0.00004021097,0.00017080463,0.0028622188,0.00029813556,0.0001877927,0.00007829783,0.0012319862,0.0000062494546],"about_ca_topic_score_codex":0.015190425,"about_ca_topic_score_gemma":0.022482008,"teacher_disagreement_score":0.015190425,"about_ca_system_score_codex":0.00021977644,"about_ca_system_score_gemma":0.00028046354,"threshold_uncertainty_score":0.030203998},"labels":[],"label_agreement":null},{"id":"W4400127046","doi":"10.3390/ijfs12030063","title":"Ownership Structure and Bank Dividend Policies: New Empirical Evidence from the Dual Banking Systems of MENA Countries","year":2024,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Dividend policy; Monetary economics; Foreign ownership; Leverage (statistics); Dividend; Endogeneity; Business; Dividend payout ratio; Economics; Financial system; Probit; Foreign direct investment; Econometrics; Finance; Macroeconomics","score_opus":0.06007941745074227,"score_gpt":0.31458339930945456,"score_spread":0.25450398185871226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400127046","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99885774,0.000291891,0.000055870114,0.00008088694,0.0000023172538,0.0000018409314,0.00007087846,9.549425e-7,0.0006377133],"genre_scores_gemma":[0.9994778,0.00019205669,0.000043648954,0.000016550977,0.0000070199644,0.0000013757857,0.00012246112,4.9728015e-7,0.00013857779],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997131,0.000080749865,0.000027666827,0.00005995564,0.000050619325,0.00006780233],"domain_scores_gemma":[0.9971637,0.00065533025,0.0016017641,0.00012680686,0.00022033637,0.00023200405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007283946,0.00017851539,0.0002643036,0.0011524584,0.0004015298,0.0010023663,0.00019038083,0.00021391753,0.0016746817],"category_scores_gemma":[0.0019524363,0.00013366692,0.00023293699,0.001433821,0.000727895,0.00079375785,0.0010160683,0.0003815239,0.00016864295],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049102164,0.000043919626,0.99193937,0.00001922496,0.000049008595,0.00015560942,0.0010569798,0.00013488698,0.00011438816,0.0004177576,0.00012630138,0.005893445],"study_design_scores_gemma":[0.000003892886,0.000037371403,0.99627644,0.000027184878,0.00003489459,0.00009176035,0.0023608264,0.00031062914,0.000077631885,0.00012950592,0.0006461481,0.0000036911736],"about_ca_topic_score_codex":0.0063381228,"about_ca_topic_score_gemma":0.009369414,"teacher_disagreement_score":0.0063381228,"about_ca_system_score_codex":0.00034806528,"about_ca_system_score_gemma":0.00036895595,"threshold_uncertainty_score":0.012602448},"labels":[],"label_agreement":null},{"id":"W4400577330","doi":"10.3390/ijfs12030068","title":"Corporate Social Responsibility in Canadian Family Businesses: A Socioemotional Wealth Perspective","year":2024,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"Family Business Performance and Succession","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Socioemotional selectivity theory; Corporate social responsibility; Business; Perspective (graphical); Social responsibility; Index (typography); Marketing; Accounting; Public relations; Psychology; Political science; Developmental psychology","score_opus":0.05364360396973241,"score_gpt":0.32740029731633763,"score_spread":0.27375669334660524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400577330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9473149,0.0009725563,0.00032425253,0.002771681,0.000020343472,0.000024068557,0.00025082496,0.000003117854,0.048318338],"genre_scores_gemma":[0.9980963,0.00047813446,0.000094020324,0.00005555453,0.0000038487497,0.0000033642177,0.000038730162,0.0000011819429,0.0012288266],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992086,0.000107934735,0.00001248767,0.000053087453,0.00025093593,0.00036687573],"domain_scores_gemma":[0.9984676,0.00013795983,0.00023486026,0.000044587374,0.0004891562,0.0006257418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009372114,0.00025643493,0.00019204924,0.0028162664,0.008476097,0.0030248726,0.00064455945,0.00028034698,0.0025952698],"category_scores_gemma":[0.0023873944,0.00009456266,0.0002301007,0.00256548,0.0036392459,0.0012538013,0.0022090015,0.0006027291,0.000075277705],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000120399374,0.00015846618,0.69208235,0.00009691972,0.00007695014,0.0011870906,0.10242365,0.0011886552,0.00064554054,0.112546645,0.0056501944,0.08382314],"study_design_scores_gemma":[0.000005666831,0.00003613926,0.8449649,0.0001869548,0.000039365023,0.00021150376,0.11591008,0.0010800258,0.0002193123,0.00510418,0.032189425,0.000052523425],"about_ca_topic_score_codex":0.98066324,"about_ca_topic_score_gemma":0.9912778,"teacher_disagreement_score":0.040572617,"about_ca_system_score_codex":0.040572617,"about_ca_system_score_gemma":0.042450186,"threshold_uncertainty_score":0.2943763},"labels":[],"label_agreement":null},{"id":"W4406308089","doi":"10.3390/ijfs13010008","title":"Impact of Indices on Stock Price Volatility of BRICS Countries During Crises: Comparative Study","year":2025,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Economics; Volatility (finance); Monetary economics; Stock price; Stock (firearms); Financial economics; International economics; Econometrics; Geography","score_opus":0.05793533301824616,"score_gpt":0.36295152641261724,"score_spread":0.3050161933943711,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406308089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926668,0.001766908,0.00028981417,0.00012641317,0.000020751419,0.000015352016,0.0006779211,0.000014308767,0.0044218195],"genre_scores_gemma":[0.99734724,0.0009692933,0.00022351672,0.000016373733,0.000050457893,0.000007767261,0.0011565038,0.0000048993247,0.000223952],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99925286,0.00020832391,0.00009081827,0.00008574966,0.00023991843,0.00012236528],"domain_scores_gemma":[0.9969735,0.0010330819,0.0009245252,0.00013731254,0.0007657065,0.000165852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014599423,0.00040193502,0.00054779614,0.0055698934,0.00032447453,0.0017467337,0.00023399254,0.00035981584,0.0012943533],"category_scores_gemma":[0.0055141095,0.00011594013,0.0005254273,0.0051643956,0.00041826267,0.0010870901,0.0008022273,0.00052301015,0.000316158],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006103028,0.00016705543,0.92055184,0.00033943888,0.0004925068,0.000757141,0.0012785281,0.0044453624,0.0015653758,0.0015497354,0.002437617,0.065805025],"study_design_scores_gemma":[0.00000972652,0.00016544414,0.9893596,0.000088716646,0.00011097813,0.00026899605,0.0028228532,0.0042700213,0.00040658697,0.00026728402,0.002210536,0.000019248799],"about_ca_topic_score_codex":0.00457297,"about_ca_topic_score_gemma":0.004130648,"teacher_disagreement_score":0.0055698934,"about_ca_system_score_codex":0.00057605415,"about_ca_system_score_gemma":0.0004147597,"threshold_uncertainty_score":0.009092689},"labels":[],"label_agreement":null},{"id":"W4408196937","doi":"10.3390/ijfs13010044","title":"The Effects of Financial Knowledge, Skill, and Self-Assessed Knowledge on Financial Well-Being, Behavior, and Objective Situation","year":2025,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Finance; Financial analysis; Strategic financial management; Accounting management; Indirect finance; Financial ratio; Business; Accounting; Marketing","score_opus":0.006074793268164097,"score_gpt":0.2807235821373893,"score_spread":0.27464878886922517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408196937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955664,0.00022036138,0.00026755454,0.000111576526,0.0000050493345,0.000013729337,0.00014466711,0.0000039298534,0.0036666563],"genre_scores_gemma":[0.9992071,0.0000735783,0.00017470158,0.000020483974,0.0000051572456,0.00000852859,0.0000969849,0.0000016021842,0.0004119202],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981439,0.0009474017,0.00013151972,0.00020496835,0.0003319264,0.00024022697],"domain_scores_gemma":[0.96660525,0.022807857,0.00576312,0.0015171957,0.0010175033,0.0022891392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003367304,0.00026580266,0.00036180505,0.0012998075,0.0003808518,0.001066701,0.0003877004,0.00046511306,0.0046082945],"category_scores_gemma":[0.017813172,0.00015611688,0.000652866,0.0006926681,0.00092477363,0.0009209895,0.0010947332,0.0007874179,0.00030586257],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010682051,0.00028771648,0.9940554,0.000018547633,0.00015719893,0.000037767917,0.00023292727,0.00014014362,0.00012293828,0.0002888671,0.000038672,0.0045129918],"study_design_scores_gemma":[0.0000016569936,0.00009783763,0.99910516,0.000008970412,0.000028444822,0.00003102518,0.00015927115,0.00025582698,0.000073268675,0.00013424108,0.00010039819,0.000003907191],"about_ca_topic_score_codex":0.004337503,"about_ca_topic_score_gemma":0.0067380453,"teacher_disagreement_score":0.0046082945,"about_ca_system_score_codex":0.00035973272,"about_ca_system_score_gemma":0.00058096537,"threshold_uncertainty_score":0.017808199},"labels":[],"label_agreement":null},{"id":"W4410344687","doi":"10.3390/ijfs13020084","title":"Impact of Asset Bubbles on Exercise of Executive Stock Options","year":2025,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Social Sciences and Humanities Research Council of Canada; Strong","keywords":"Stock (firearms); Business; Economics; Monetary economics; Asset (computer security); Stock options; Finance; Geography; Computer science","score_opus":0.04812203571656222,"score_gpt":0.3293947707595034,"score_spread":0.2812727350429412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410344687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983028,0.00017353169,0.00006665507,0.0001335204,0.0000063332973,0.000003125805,0.000063446714,0.0000031404463,0.001247462],"genre_scores_gemma":[0.99962795,0.000041912284,0.000019741025,0.00002277454,0.000012862081,0.0000013736835,0.000056557663,7.7465006e-7,0.00021608954],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99937135,0.00015821452,0.00005858243,0.00006792293,0.00018620247,0.0001577043],"domain_scores_gemma":[0.97864974,0.007206605,0.011356102,0.00044347125,0.00071165175,0.0016324474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085302786,0.00012363108,0.00015549437,0.0005607351,0.00016408764,0.00066781515,0.00014773263,0.00045019155,0.0030222407],"category_scores_gemma":[0.014206998,0.00009115133,0.00015578809,0.00030709125,0.00022481555,0.00059578684,0.0005620297,0.0005417864,0.0002613328],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028918078,0.00012302028,0.9852761,0.000017566343,0.000055911718,0.00021471448,0.0003104268,0.00021332903,0.0011447984,0.00019114121,0.00021910519,0.011944738],"study_design_scores_gemma":[0.000003426661,0.00012199321,0.9985801,0.000006535149,0.000014147175,0.00011628967,0.00024238073,0.0003371339,0.0002028008,0.000107560314,0.0002641381,0.0000035361732],"about_ca_topic_score_codex":0.0018594761,"about_ca_topic_score_gemma":0.0029720482,"teacher_disagreement_score":0.0030222407,"about_ca_system_score_codex":0.0002366734,"about_ca_system_score_gemma":0.00016964693,"threshold_uncertainty_score":0.010110438},"labels":[],"label_agreement":null},{"id":"W4410862820","doi":"10.3390/ijfs13020091","title":"Markov-Modulated and Shifted Wishart Processes with Applications in Derivatives Pricing","year":2025,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; York University","funders":"","keywords":"Wishart distribution; Markov chain; Economics; Econometrics; Mathematics; Statistics","score_opus":0.02037333668313065,"score_gpt":0.27247998137016954,"score_spread":0.2521066446870389,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410862820","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.042247575,0.0030808041,0.95042276,0.00041476305,0.00011646842,0.000023268727,0.000053172615,0.00010968087,0.0035315766],"genre_scores_gemma":[0.81307536,0.0064294953,0.17440392,0.00023476905,0.00047575272,0.00009268517,0.00015570266,0.00007873849,0.005053668],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994561,0.00027929677,0.0000297628,0.000064522086,0.0001323622,0.000037947695],"domain_scores_gemma":[0.9964386,0.0026842945,0.00032719038,0.00019008739,0.0002596346,0.00010026086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018665344,0.0007219469,0.00057175016,0.0011090729,0.00035420954,0.0011621951,0.000646572,0.0012231283,0.0016847389],"category_scores_gemma":[0.0078395605,0.0004067088,0.0010746148,0.0017649964,0.0011619598,0.0018486531,0.0007926222,0.001663811,0.00029071022],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000070667615,0.00007887859,0.0022854302,0.00010858143,0.00006867995,0.00036251088,0.00015427177,0.48016444,0.004403195,0.47807765,0.0006444738,0.033581275],"study_design_scores_gemma":[0.000006347806,0.000026553647,0.0003611873,0.00001211682,0.000009806129,0.00007554842,0.000014716013,0.9190645,0.00045898577,0.079119354,0.00083228503,0.000018534394],"about_ca_topic_score_codex":0.0024707068,"about_ca_topic_score_gemma":0.0012899111,"teacher_disagreement_score":0.0024707068,"about_ca_system_score_codex":0.0005414441,"about_ca_system_score_gemma":0.000550719,"threshold_uncertainty_score":0.009871304},"labels":[],"label_agreement":null},{"id":"W4411158177","doi":"10.3390/ijfs13020108","title":"Bitcoin Return Dynamics Volatility and Time Series Forecasting","year":2025,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Volatility (finance); Economics; Econometrics; Series (stratigraphy); Time series; Financial economics; Mathematics; Statistics","score_opus":0.026673743905912515,"score_gpt":0.25979110130286315,"score_spread":0.23311735739695064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411158177","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8643382,0.0018702304,0.11678346,0.0020876594,0.00020339753,0.000031098694,0.0005611681,0.00087745173,0.013247244],"genre_scores_gemma":[0.99422544,0.0003115156,0.004444142,0.000034442506,0.000033580665,0.000005849848,0.0001715539,0.000031463132,0.0007420659],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995733,0.00013185308,0.000023847415,0.000075362484,0.00015510537,0.000040543655],"domain_scores_gemma":[0.99811196,0.0010988689,0.00034559958,0.00013378456,0.00025621423,0.00005353565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011631924,0.0004619505,0.00045415637,0.00088816666,0.00028620855,0.0013274096,0.00030777682,0.00056916475,0.0012997115],"category_scores_gemma":[0.0077898656,0.00016078727,0.000218579,0.0014213563,0.00027255763,0.0017138477,0.00041007044,0.0007791704,0.000248665],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019429947,0.000072583985,0.039265227,0.00007470694,0.00009044368,0.00024276527,0.00009231587,0.84384847,0.005245908,0.02658731,0.0030916403,0.081194445],"study_design_scores_gemma":[0.000004942983,0.000011561762,0.0062196176,0.0000088842025,0.000006015963,0.000024180139,0.000012965105,0.98610824,0.0011418961,0.0058878204,0.0005621917,0.000011646089],"about_ca_topic_score_codex":0.0089970445,"about_ca_topic_score_gemma":0.0041017616,"teacher_disagreement_score":0.0089970445,"about_ca_system_score_codex":0.0006108598,"about_ca_system_score_gemma":0.00042002572,"threshold_uncertainty_score":0.01788938},"labels":[],"label_agreement":null},{"id":"W4412149284","doi":"10.3390/ijfs13030131","title":"How Does Corporate Information Environment Influence CSR?","year":2025,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Business; Corporate social responsibility; Industrial organization; Public relations; Political science","score_opus":0.02287597572101477,"score_gpt":0.26268895526069186,"score_spread":0.2398129795396771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412149284","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94012886,0.0012368399,0.0013666137,0.009258426,0.00005387919,0.000034814864,0.00033773296,0.000029316887,0.047553457],"genre_scores_gemma":[0.9987073,0.00028180322,0.00010678757,0.00026046459,0.000042469466,0.0000038548174,0.00006599566,0.0000050339245,0.0005263462],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9933955,0.0030432981,0.00043194112,0.0006181287,0.0017284467,0.0007827636],"domain_scores_gemma":[0.8925168,0.05741841,0.03294306,0.003598254,0.008347765,0.005175816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00455146,0.00018229446,0.00027539095,0.0021068058,0.0011106969,0.006311992,0.00037099264,0.0009783962,0.0045600515],"category_scores_gemma":[0.031268153,0.00016051903,0.00025207686,0.0025537931,0.0020938981,0.004558939,0.0019442777,0.0011301215,0.0005880239],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018757518,0.00056870485,0.90253735,0.00022503722,0.00018706016,0.00036751435,0.008874345,0.0012203766,0.0014771903,0.016275816,0.0035252133,0.06455381],"study_design_scores_gemma":[0.000032942287,0.0003222511,0.9226673,0.0003188996,0.000097555545,0.00022529643,0.026667673,0.0021146676,0.0015826487,0.01647541,0.029400801,0.00009463282],"about_ca_topic_score_codex":0.0054018097,"about_ca_topic_score_gemma":0.00608655,"teacher_disagreement_score":0.006311992,"about_ca_system_score_codex":0.0015024707,"about_ca_system_score_gemma":0.001656291,"threshold_uncertainty_score":0.02407068},"labels":[],"label_agreement":null},{"id":"W4413832462","doi":"10.3390/ijfs13030158","title":"What’s Trending? Stock-Level Investor Sentiment and Returns","year":2025,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China; British Federation of Women Graduates","keywords":"Stock (firearms); Monetary economics; Business; Economics; Financial economics; Geography","score_opus":0.07570774529183441,"score_gpt":0.3041671406724389,"score_spread":0.22845939538060447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413832462","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951757,0.00059240946,0.00031766994,0.0010518986,0.00002644644,0.0000025865622,0.00016499119,0.0000054889642,0.0026629118],"genre_scores_gemma":[0.99909353,0.00027047622,0.00006985873,0.000096312135,0.000057755737,9.765814e-7,0.00008278478,0.0000034010968,0.00032487154],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998846,0.000025957681,0.000008640822,0.000028796065,0.000022507238,0.000029489067],"domain_scores_gemma":[0.9971517,0.0008044917,0.0014794115,0.00009637075,0.00019640742,0.00027163068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005093514,0.00012713841,0.0002010492,0.0003410758,0.00015109278,0.0011962963,0.00013221231,0.00046835377,0.0015269846],"category_scores_gemma":[0.004289149,0.00008111872,0.00020318273,0.00049309735,0.0002995361,0.0011209586,0.00022446795,0.00051509234,0.00036474928],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016544324,0.000087526605,0.96913636,0.000029172264,0.0001564995,0.00019151071,0.00032633723,0.00078141474,0.0013812725,0.0024099264,0.0013496241,0.023984801],"study_design_scores_gemma":[0.000006369161,0.000106157146,0.9896427,0.00002604484,0.000055972796,0.0001772798,0.00055517064,0.003938614,0.00037747118,0.0035978078,0.0015060486,0.000010410938],"about_ca_topic_score_codex":0.002445952,"about_ca_topic_score_gemma":0.0030234063,"teacher_disagreement_score":0.002445952,"about_ca_system_score_codex":0.00024716524,"about_ca_system_score_gemma":0.0001100095,"threshold_uncertainty_score":0.0051082373},"labels":[],"label_agreement":null},{"id":"W4413874963","doi":"10.3390/ijfs13030159","title":"More Money, More Ethical Commitment? How Corporate Financial Performance Influences Environmental Social and Governance Practices","year":2025,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Corporate governance; Business; Finance; Corporate social responsibility; Accounting; Public relations; Political science","score_opus":0.056820789955315865,"score_gpt":0.331705604845,"score_spread":0.27488481488968414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413874963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99523914,0.00007809053,0.00010452209,0.000621251,0.0000056458325,0.000004241344,0.000019578923,0.0000015319201,0.0039259703],"genre_scores_gemma":[0.9996542,0.000035745477,0.000037127676,0.000040966013,0.0000043655805,0.0000012711786,0.000011902513,7.4184675e-7,0.00021367031],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99808455,0.00091627374,0.00011617865,0.00014597659,0.00040886345,0.0003282354],"domain_scores_gemma":[0.98106647,0.006158664,0.008978501,0.0005417999,0.00096322503,0.0022912521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001970029,0.00013274983,0.00015279063,0.00070501614,0.0005291059,0.002381503,0.00023031625,0.00054479373,0.0035940618],"category_scores_gemma":[0.01192495,0.00008964548,0.0001520178,0.00081569626,0.0016756242,0.0012420748,0.0010551724,0.00084906846,0.00029684216],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052959178,0.0002615829,0.9763332,0.000021381307,0.00007015423,0.0001620959,0.0029844507,0.00032591054,0.00038439786,0.0020886876,0.00033469734,0.016980376],"study_design_scores_gemma":[0.000002760546,0.00007430958,0.99126387,0.00002009757,0.000009813192,0.00006701535,0.0060137603,0.0002919953,0.000120384684,0.0011502111,0.00097580894,0.000009922543],"about_ca_topic_score_codex":0.0023436116,"about_ca_topic_score_gemma":0.0043405374,"teacher_disagreement_score":0.0035940618,"about_ca_system_score_codex":0.00058047887,"about_ca_system_score_gemma":0.0007634251,"threshold_uncertainty_score":0.012023389},"labels":[],"label_agreement":null},{"id":"W4414142751","doi":"10.3390/ijfs13030170","title":"Predicting the Canadian Yield Curve Using Machine Learning Techniques","year":2025,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"","keywords":"Lasso (programming language); Yield curve; Yield (engineering); Hyperparameter; Feature (linguistics); Set (abstract data type); Government (linguistics)","score_opus":0.0468335649355027,"score_gpt":0.29230163398674397,"score_spread":0.24546806905124127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414142751","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8293276,0.0026800048,0.120211884,0.0023687007,0.00015151469,0.00015029975,0.013061969,0.0021810334,0.029866982],"genre_scores_gemma":[0.9702654,0.0010076397,0.01742463,0.00009176497,0.000036985497,0.000028474671,0.006939743,0.00008607854,0.004119248],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995776,0.000036770576,0.000013645681,0.00006658189,0.00023489633,0.000070550464],"domain_scores_gemma":[0.99882203,0.00018634056,0.00012957928,0.00006713451,0.0007233854,0.00007153755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009356644,0.00076751685,0.0003720052,0.0023715657,0.00082008913,0.001255848,0.00077383354,0.0003969763,0.0016909675],"category_scores_gemma":[0.0039187563,0.0001804382,0.0005658463,0.0031050823,0.00031099515,0.0006759826,0.00057182694,0.00069257733,0.000420382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018204104,0.000081521706,0.13709804,0.00011245533,0.00014460552,0.00037962728,0.00015572087,0.64256996,0.0018015131,0.016913759,0.023258343,0.17730245],"study_design_scores_gemma":[0.000011180336,0.000017640727,0.04705972,0.000022125414,0.00001917708,0.00003502414,0.00008699796,0.9410009,0.001181294,0.0032295182,0.0072949803,0.000041459207],"about_ca_topic_score_codex":0.8400239,"about_ca_topic_score_gemma":0.77849996,"teacher_disagreement_score":0.15997612,"about_ca_system_score_codex":0.0062584127,"about_ca_system_score_gemma":0.007187221,"threshold_uncertainty_score":0.32183647},"labels":[],"label_agreement":null},{"id":"W4414334180","doi":"10.3390/ijfs13030178","title":"The Road to Tax Collection Digitalization: An Assessment of the Effectiveness of Digital Payment Systems in Nigeria and the Role of Macroeconomic Factors","year":2025,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Payment; Revenue; Database transaction; Quarter (Canadian coin); Distributed lag; Mobile payment; Payment system","score_opus":0.0152306117332427,"score_gpt":0.28750014953401215,"score_spread":0.27226953780076946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414334180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98968667,0.0006409393,0.000114223,0.00045423076,0.00000981252,0.000039376246,0.00006978471,0.0000019070302,0.008983009],"genre_scores_gemma":[0.9985915,0.00070838653,0.00010613204,0.000028917897,0.0000050992085,0.000007977892,0.00003660616,9.952607e-7,0.0005144223],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921656,0.0002093903,0.00010373504,0.00006173095,0.00018691797,0.00022161903],"domain_scores_gemma":[0.9946582,0.001494869,0.0024337014,0.00010580166,0.00087509997,0.00043232946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013440998,0.00018965936,0.00020860147,0.0016277683,0.0012367547,0.0036690177,0.00028929402,0.00046463605,0.0025299897],"category_scores_gemma":[0.0043879203,0.00023111717,0.00029337648,0.0023717373,0.0012027605,0.0027844408,0.0017080349,0.0011169608,0.00023639374],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012701668,0.00018873342,0.9602393,0.00019136925,0.000024719657,0.00085823634,0.005066812,0.00080872537,0.00030370214,0.0055647064,0.00033977363,0.026286941],"study_design_scores_gemma":[0.000004566161,0.00018968702,0.96048445,0.0003178696,0.00003616268,0.00037630415,0.03144373,0.0014464239,0.000415294,0.0011265195,0.004143983,0.000014968251],"about_ca_topic_score_codex":0.01053008,"about_ca_topic_score_gemma":0.013901647,"teacher_disagreement_score":0.01053008,"about_ca_system_score_codex":0.0023661084,"about_ca_system_score_gemma":0.0021610898,"threshold_uncertainty_score":0.020937562},"labels":[],"label_agreement":null},{"id":"W4414671025","doi":"10.3390/ijfs13040181","title":"Is U.S. CEO Equity and Cash Compensation Aligned with Agency Theory to Maximize Shareholder Returns?","year":2025,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Canada West","funders":"","keywords":"Corporate governance; Incentive; Executive compensation; Equity (law); Shareholder; Principal–agent problem; Cash; Equity risk; Agency cost","score_opus":0.0460172481718011,"score_gpt":0.30957084081257336,"score_spread":0.26355359264077227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414671025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9268831,0.0025970829,0.01727954,0.00848824,0.00006438062,0.000033387678,0.00009884634,0.00003628715,0.044519115],"genre_scores_gemma":[0.9983835,0.00024886554,0.0006347155,0.00014809254,0.000015896505,0.0000041064573,0.000014860943,0.0000016692273,0.0005481505],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991283,0.00032063975,0.00004295213,0.00016107442,0.00015181032,0.0001952014],"domain_scores_gemma":[0.9954821,0.0009070758,0.0027369019,0.00017618072,0.00036540203,0.0003323337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019467218,0.00022714838,0.00043849263,0.00063471287,0.00045560743,0.002563224,0.00030476027,0.001073312,0.0028047147],"category_scores_gemma":[0.006462611,0.00016918524,0.000259963,0.0006704077,0.0011133156,0.0018241536,0.00065200543,0.00054151745,0.00031492457],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040803957,0.00046798278,0.38794544,0.00018576073,0.00024719353,0.00042890757,0.0015038055,0.043604854,0.0032250173,0.4260021,0.0048493394,0.13113162],"study_design_scores_gemma":[0.00013424573,0.00038888952,0.41974196,0.00020423219,0.00013087431,0.00041039247,0.00287537,0.11071697,0.0023118805,0.44781646,0.015194201,0.00007451093],"about_ca_topic_score_codex":0.0033777778,"about_ca_topic_score_gemma":0.004368772,"teacher_disagreement_score":0.0033777778,"about_ca_system_score_codex":0.0012199618,"about_ca_system_score_gemma":0.0015163919,"threshold_uncertainty_score":0.0102953315},"labels":[],"label_agreement":null},{"id":"W4415814299","doi":"10.3390/ijfs13040203","title":"The Impact of Trade Secrecy Protection on Audit Pricing","year":2025,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; National Natural Science Foundation of China","keywords":"Audit; Secrecy; Redaction; Confidentiality; Premise; Public interest; Auditor's report; Auditor independence; Audit risk","score_opus":0.016404928151206675,"score_gpt":0.28496854266714533,"score_spread":0.26856361451593863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415814299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9573582,0.000871546,0.0068574697,0.0030805438,0.000047816593,0.00004294992,0.0002068984,0.000051481344,0.03148297],"genre_scores_gemma":[0.99886477,0.00008419011,0.00020597143,0.000040419443,0.000019893183,0.0000026964947,0.00001667396,0.0000045110696,0.00076084275],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9894929,0.0041402746,0.0007458733,0.00073335646,0.0027266408,0.0021609778],"domain_scores_gemma":[0.79620063,0.13208774,0.04831741,0.014349553,0.005217151,0.0038275968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012013144,0.00031703513,0.000703842,0.0011176831,0.0008743006,0.006135358,0.0009056743,0.0017963329,0.010575118],"category_scores_gemma":[0.083507665,0.00038042615,0.001044775,0.0015396484,0.0035982342,0.0037788332,0.0021741188,0.0026684476,0.00085669337],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002725054,0.0011562001,0.58953196,0.00027983007,0.00053956045,0.0016821554,0.002750049,0.077665575,0.007968725,0.2013941,0.0029211007,0.11138571],"study_design_scores_gemma":[0.00028964423,0.0014493059,0.68041426,0.00039700605,0.00075720594,0.0013432513,0.0034134763,0.0865911,0.0125823105,0.2031124,0.00944385,0.00020617803],"about_ca_topic_score_codex":0.004375738,"about_ca_topic_score_gemma":0.003312977,"teacher_disagreement_score":0.012013144,"about_ca_system_score_codex":0.0030396653,"about_ca_system_score_gemma":0.003145767,"threshold_uncertainty_score":0.06353229},"labels":[],"label_agreement":null}]}