{"meta":{"query_hash":"f53ca650abed","filters":{"venue":"International Review of Financial Analysis"},"cohort_total":102,"direct_labels_cover":0,"predictions_cover":102,"exported":102,"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/f53ca650abed","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Review+of+Financial+Analysis"},"results":[{"id":"W170718266","doi":"10.1016/j.irfa.2016.08.004","title":"Financial literacy and over-indebtedness in low-income households","year":2016,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":187,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Economic and Social Research Council; Queen's University; Queen's University Belfast","keywords":"Financial literacy; Numeracy; Disadvantaged; Debt; Finance; Net worth; Economics; Sample (material); Endogeneity; Financial services; Business; Consumption (sociology); Literacy; Economic growth","score_opus":0.008455885066569874,"score_gpt":0.25795555202569376,"score_spread":0.24949966695912387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W170718266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932735,0.0036829365,0.00041159597,0.00094636413,0.0004291023,0.00027723843,0.000053354936,0.00003913071,0.0008867861],"genre_scores_gemma":[0.990478,0.0056978073,0.00015743537,0.0025144748,0.0006410766,0.000038835453,0.00008047997,0.000021046988,0.00037085605],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99717355,0.000032021326,0.0011896217,0.0005539537,0.00074145815,0.0003094066],"domain_scores_gemma":[0.9979919,0.000092180184,0.000767332,0.00037520804,0.00075071416,0.000022641792],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00079585507,0.00030711864,0.0009253163,0.0011871625,0.00007416425,0.00009262472,0.0005362676,0.00010836755,0.0011245819],"category_scores_gemma":[0.0024858173,0.00023112737,0.00045290357,0.0041486756,0.000105712665,0.0014387816,0.00029348652,0.00012123203,0.00007388839],"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":[0.00005351825,0.00011973814,0.94929695,0.0010143154,0.0000636607,0.000028255832,0.000016298934,0.0000056759313,0.00008205206,0.023777982,0.0006844886,0.024857046],"study_design_scores_gemma":[0.00059128564,0.000010073246,0.9611539,0.006013378,0.00059959764,8.413274e-7,9.992252e-7,0.0007993295,0.000030204354,0.0023500214,0.028120331,0.0003300418],"about_ca_topic_score_codex":0.0010089173,"about_ca_topic_score_gemma":0.0007781934,"teacher_disagreement_score":0.027435843,"about_ca_system_score_codex":0.00010542831,"about_ca_system_score_gemma":0.00008942031,"threshold_uncertainty_score":0.9997885},"labels":[],"label_agreement":null},{"id":"W1969187123","doi":"10.1016/j.irfa.2010.01.006","title":"Credit insurance and investment: A contingent claims analysis approach","year":2010,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Université Laval","keywords":"Investment (military); Maturity (psychological); Debt; Economics; Monetary economics; Shareholder; Business; Actuarial science; Finance; Financial economics","score_opus":0.015547935024676291,"score_gpt":0.24408302378023797,"score_spread":0.22853508875556167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969187123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8829272,0.03584329,0.03680818,0.0012032833,0.0010739517,0.0005203833,0.0016966917,0.000042430584,0.03988463],"genre_scores_gemma":[0.98263896,0.012210161,0.0037158492,0.00033692786,0.000256144,0.00005743514,0.00030197602,0.000009784262,0.00047276085],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981261,0.00001467007,0.0010751663,0.000459869,0.00014602426,0.0001781878],"domain_scores_gemma":[0.99834675,0.00004359734,0.00080453465,0.00037294833,0.00033729992,0.000094877876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007204787,0.00017353173,0.0009654618,0.0009030271,0.0000859832,0.000037385806,0.00034464538,0.00010358977,0.0003698926],"category_scores_gemma":[0.0010727472,0.0001814436,0.0006086756,0.0034307763,0.00014047259,0.0001805071,0.000081488964,0.00020075195,0.000020893844],"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":[0.000006578377,0.00011984305,0.5645485,0.00015046429,0.0013343279,0.0000011591649,0.00007134076,0.00005229945,0.000014483806,0.42881453,0.0006070368,0.0042794254],"study_design_scores_gemma":[0.00017356558,0.000014660178,0.91189706,0.00006462967,0.0008579334,0.0000012193378,0.000003449573,0.0044264984,0.000010305247,0.005491587,0.07686905,0.0001900488],"about_ca_topic_score_codex":0.0005641234,"about_ca_topic_score_gemma":0.00035994442,"teacher_disagreement_score":0.42332295,"about_ca_system_score_codex":0.000034619297,"about_ca_system_score_gemma":0.000043213728,"threshold_uncertainty_score":0.73990554},"labels":[],"label_agreement":null},{"id":"W1976501574","doi":"10.1016/j.irfa.2011.05.004","title":"Oil prices and accounting profits of oil and gas companies","year":2011,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":70,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Bond; Economics; Financial crisis; Equity (law); Generalized method of moments; Fossil fuel; Commodity; Financial economics; Petroleum industry; Panel data; Econometrics; Monetary economics; Finance; Macroeconomics","score_opus":0.02703188517628,"score_gpt":0.24304533894998637,"score_spread":0.21601345377370637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976501574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90075123,0.043583084,0.0003882387,0.00030576086,0.00011380423,0.00002453032,0.00021189387,0.0000053463605,0.054616094],"genre_scores_gemma":[0.90853786,0.0893625,0.001496767,0.00010317369,0.000025023219,0.000007459681,0.000018443932,0.0000043171744,0.0004444172],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989853,0.00000903612,0.00067050016,0.00020207015,0.000056497454,0.00007660804],"domain_scores_gemma":[0.99892896,0.0000331278,0.00067594583,0.00012380006,0.00021308323,0.00002510142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067002873,0.00008369764,0.00052586687,0.00021232698,0.00002527701,0.0000109064285,0.00015085192,0.000033157783,0.0003007443],"category_scores_gemma":[0.00057447917,0.0000829345,0.00011904429,0.00044249327,0.00006882655,0.00012947596,0.000078134624,0.000049226113,0.0000018430455],"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":[0.000014798249,0.00006570509,0.7711905,0.002054491,0.00033317757,6.0897463e-7,0.00016773422,4.5472302e-7,0.00000376822,0.113595925,0.000033710923,0.112539075],"study_design_scores_gemma":[0.00018207286,0.000027791853,0.96111137,0.0008468763,0.00022805335,0.0000013174705,0.000011715676,0.018065777,0.000012036951,0.0073309247,0.012000623,0.00018142468],"about_ca_topic_score_codex":0.00058889156,"about_ca_topic_score_gemma":0.00012238443,"teacher_disagreement_score":0.18992084,"about_ca_system_score_codex":0.000012966277,"about_ca_system_score_gemma":0.000015062437,"threshold_uncertainty_score":0.33819708},"labels":[],"label_agreement":null},{"id":"W1983403277","doi":"10.1016/j.irfa.2005.09.003","title":"Index inclusion and commonality in liquidity: Evidence from the Stock Exchange of Hong Kong","year":2006,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Market liquidity; Equity (law); Index (typography); Stock exchange; Business; Empirical evidence; Stock (firearms); Financial economics; Stock market index; Economics; Monetary economics; Stock market; Finance; Geography","score_opus":0.03763483257270595,"score_gpt":0.2669858931523801,"score_spread":0.22935106057967414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983403277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84131664,0.1521561,0.0009091376,0.0026454302,0.00013678893,0.00020289213,0.0003224521,0.0000040801297,0.0023064788],"genre_scores_gemma":[0.94909257,0.050163485,0.00012230703,0.0004119876,0.00008746587,0.000015986212,0.000049137532,0.00000402384,0.000053051008],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985409,0.000046340338,0.00093939615,0.00024172365,0.0001290502,0.00010259462],"domain_scores_gemma":[0.9987292,0.00018402745,0.00070895074,0.00021549039,0.00014531352,0.000016977256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010635311,0.00011133766,0.00059121166,0.00019036993,0.00006245951,0.000015828462,0.00035071242,0.000054098797,0.00025817932],"category_scores_gemma":[0.0008755196,0.00009391351,0.00017903693,0.0008801299,0.00011355093,0.00023207738,0.00032253127,0.00009711855,0.0000029886876],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026639156,0.000082524675,0.9254947,0.000306498,0.000077633784,0.0000017062985,0.00008964195,0.00003609425,0.00001479851,0.06754795,0.00086733495,0.0054545277],"study_design_scores_gemma":[0.00011589822,0.000021571539,0.9663693,0.0013189596,0.000054071683,1.4486321e-7,0.0000033172423,0.0012537135,0.000023674249,0.023701137,0.007046172,0.00009207692],"about_ca_topic_score_codex":0.023067214,"about_ca_topic_score_gemma":0.003468869,"teacher_disagreement_score":0.10777593,"about_ca_system_score_codex":0.00005821382,"about_ca_system_score_gemma":0.000041338913,"threshold_uncertainty_score":0.98343825},"labels":[],"label_agreement":null},{"id":"W1990355114","doi":"10.1016/j.irfa.2010.12.001","title":"Modeling investment guarantees in Japan: A risk-neutral GARCH approach","year":2010,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Autoregressive conditional heteroskedasticity; Economics; Investment (military); Econometrics; Financial economics; Risk neutral; Finance; Business; Volatility (finance); Political science","score_opus":0.026452410783801148,"score_gpt":0.2637401897392925,"score_spread":0.23728777895549133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990355114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.935099,0.014732105,0.04110834,0.00029096974,0.0003937334,0.0002839787,0.00022911724,0.000015355832,0.007847394],"genre_scores_gemma":[0.9773283,0.015834631,0.006065594,0.00039231993,0.00013294656,0.00005494939,0.000085889806,0.00001179399,0.00009357969],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977023,0.00002602457,0.0014178541,0.00048619593,0.00012570225,0.00024190999],"domain_scores_gemma":[0.998837,0.000031254836,0.00047572653,0.00036113805,0.00023809755,0.00005677206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015582069,0.00018209302,0.0008642742,0.0007385921,0.000054843644,0.000024338246,0.0004968605,0.00011476371,0.00016738336],"category_scores_gemma":[0.001634599,0.00019413953,0.00049027335,0.0015423455,0.000054978293,0.00019760174,0.00008060377,0.00043285752,0.00003724875],"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":[0.0000427462,0.00053493434,0.40206966,0.00073838903,0.00037461374,0.0000028915333,0.0004659546,0.023931852,0.00003082417,0.5620073,0.0001413111,0.00965954],"study_design_scores_gemma":[0.00031157862,0.000024560462,0.075644664,0.0003373516,0.00013178632,0.0000011691853,0.000010929518,0.895135,0.000017239667,0.02465798,0.0034542363,0.00027351305],"about_ca_topic_score_codex":0.0041407277,"about_ca_topic_score_gemma":0.0013931153,"teacher_disagreement_score":0.8712031,"about_ca_system_score_codex":0.000069756796,"about_ca_system_score_gemma":0.000075251,"threshold_uncertainty_score":0.791678},"labels":[],"label_agreement":null},{"id":"W1998743603","doi":"10.1016/j.irfa.2010.08.006","title":"Performance and conservatism of monthly FHS VaR: An international investigation","year":2010,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Université Laval","funders":"","keywords":"Autoregressive conditional heteroskedasticity; Econometrics; Index (typography); Statistics; Equity (law); Mathematics; Value at risk; Conservatism; Independence (probability theory); Economics; Volatility (finance); Computer science; Risk management","score_opus":0.024738538568511912,"score_gpt":0.2543208307559991,"score_spread":0.22958229218748719,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998743603","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910604,0.0021462517,0.0013906881,0.00056903437,0.00051853206,0.00012243951,0.00033580355,0.000009273965,0.0038476053],"genre_scores_gemma":[0.9839339,0.011448978,0.00391807,0.000324441,0.00010178765,0.000013740898,0.00016538933,0.000007304611,0.0000863642],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99841344,0.000013307778,0.0010405583,0.00029891453,0.0001294567,0.000104295],"domain_scores_gemma":[0.9983986,0.000035343928,0.0007524724,0.00025774128,0.0004974831,0.00005834319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084949494,0.00012091527,0.00053458376,0.0003902084,0.00004209243,0.000017245278,0.00036235192,0.00008476393,0.00031478103],"category_scores_gemma":[0.0012461143,0.00013360633,0.000164765,0.0006500675,0.0001197973,0.0005038953,0.00006112985,0.00015786276,0.000010138567],"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":[0.000016157812,0.000064641055,0.8596336,0.000304867,0.00016417236,5.0528774e-7,0.00013471892,0.00008490531,0.00018488092,0.1259915,0.00011614246,0.0133038815],"study_design_scores_gemma":[0.0001869321,0.0000416577,0.8863845,0.00032150102,0.000098255114,9.1128663e-7,0.0000033894323,0.09605104,0.00016756852,0.0068488987,0.009739696,0.00015568854],"about_ca_topic_score_codex":0.0008097817,"about_ca_topic_score_gemma":0.00022651406,"teacher_disagreement_score":0.1191426,"about_ca_system_score_codex":0.000022722714,"about_ca_system_score_gemma":0.000059998853,"threshold_uncertainty_score":0.5448308},"labels":[],"label_agreement":null},{"id":"W2000313611","doi":"10.1016/j.irfa.2014.05.009","title":"Corporate yield spreads and real interest rates","year":2014,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Bond; Economics; Corporate bond; Credit spread (options); Interest rate; Yield (engineering); Yield curve; Financial economics; Bond market; Bond valuation; Monetary economics; Econometrics; Inflation (cosmology); Finance","score_opus":0.05415644786401687,"score_gpt":0.26942765254448353,"score_spread":0.21527120468046668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000313611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8537497,0.03038063,0.048731845,0.0043249093,0.0014182953,0.0004193529,0.00080258155,0.000053166856,0.060119517],"genre_scores_gemma":[0.9607835,0.037452318,0.0005603507,0.00019418691,0.00021310817,0.000016268528,0.000104913306,0.000008280783,0.0006670862],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987007,0.000014229847,0.0008053736,0.0002925232,0.00006377007,0.00012343752],"domain_scores_gemma":[0.99860245,0.000079175836,0.0008007085,0.00022651524,0.00023313107,0.00005801735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005918258,0.00012551015,0.0006182169,0.00035757787,0.000050349434,0.000027150805,0.00023411738,0.0000630033,0.00041563864],"category_scores_gemma":[0.0018979897,0.00013028334,0.00023988869,0.0009188912,0.00008644101,0.00013689935,0.00006884008,0.00008202926,0.00006873203],"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":[0.000008037345,0.000040389765,0.3306893,0.00013569838,0.00014722082,9.1003113e-7,0.000025027552,0.0000089011455,0.000014086443,0.6517831,0.0015815411,0.015565772],"study_design_scores_gemma":[0.00012908084,0.000044135977,0.90186745,0.00044922737,0.00015302545,0.0000012922106,0.0000023566784,0.0018888271,0.00003945106,0.020610169,0.07463604,0.0001789689],"about_ca_topic_score_codex":0.0006957146,"about_ca_topic_score_gemma":0.00040494205,"teacher_disagreement_score":0.63117296,"about_ca_system_score_codex":0.00003299746,"about_ca_system_score_gemma":0.000024779636,"threshold_uncertainty_score":0.53128004},"labels":[],"label_agreement":null},{"id":"W2022819239","doi":"10.1016/j.irfa.2014.11.010","title":"The benefits of international diversification: market development, corporate governance, market cap, and structural change effects","year":2014,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Diversification (marketing strategy); Corporate governance; Business; Market development; Financial system; Market economy; Industrial organization; Economics; Finance; Marketing","score_opus":0.016278804242968705,"score_gpt":0.22067888999119312,"score_spread":0.2044000857482244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022819239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8783306,0.0515075,0.0025737192,0.011231949,0.0052080015,0.0016754452,0.00042764848,0.00007873529,0.048966426],"genre_scores_gemma":[0.97570187,0.020955987,0.0002196897,0.001300597,0.0006297441,0.000048961032,0.00009394427,0.000010348714,0.0010388847],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847686,0.00002076066,0.0005471873,0.00026354135,0.00055251596,0.00013912031],"domain_scores_gemma":[0.9969382,0.00010081672,0.0018058777,0.0002155523,0.00092730357,0.000012199407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006338244,0.00016839,0.0003833397,0.00013161424,0.00012390343,0.00005428952,0.0005671932,0.000040872732,0.00024372347],"category_scores_gemma":[0.00096818095,0.00012964476,0.00014955804,0.0010164,0.00009760706,0.00055572984,0.00018789628,0.00007654457,0.000011807768],"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":[0.00012287543,0.000041164738,0.62801284,0.001500652,0.00048733308,0.0000024257056,0.00002331782,0.000016793821,0.000011952243,0.060229313,0.019970505,0.28958085],"study_design_scores_gemma":[0.00020480182,0.000004951635,0.78785515,0.0008182329,0.00021014219,5.5155687e-7,0.0000015089361,0.0021073003,0.000016878392,0.00031039087,0.20835714,0.00011297821],"about_ca_topic_score_codex":0.00026932417,"about_ca_topic_score_gemma":0.00034585377,"teacher_disagreement_score":0.28946787,"about_ca_system_score_codex":0.00003669568,"about_ca_system_score_gemma":0.000035329325,"threshold_uncertainty_score":0.528676},"labels":[],"label_agreement":null},{"id":"W2025114977","doi":"10.1016/j.irfa.2010.01.008","title":"Ownership dispersion and market liquidity","year":2010,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":59,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Market liquidity; Extant taxon; Dispersion (optics); Liquidity crisis; Business; Shareholder; Monetary economics; Sample (material); Liquidity risk; Financial system; Financial economics; Economics; Finance; Corporate governance","score_opus":0.018829904987538112,"score_gpt":0.2429131389079332,"score_spread":0.2240832339203951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025114977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6937708,0.03791137,0.001213229,0.0065991953,0.0021060635,0.00043243918,0.0006199725,0.000038739065,0.25730816],"genre_scores_gemma":[0.95181924,0.04459936,0.0008210257,0.0010908394,0.00017403332,0.000017577395,0.000054790715,0.000007577455,0.0014155773],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989243,0.0000122961155,0.00059100124,0.0002738242,0.00007668329,0.00012190955],"domain_scores_gemma":[0.99915564,0.000031669464,0.00040735299,0.00020394656,0.00014782818,0.00005357205],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007049492,0.000116329866,0.00048061687,0.00025902095,0.00004840827,0.00002702506,0.00024033779,0.00006778951,0.0028793681],"category_scores_gemma":[0.0013193282,0.00010850789,0.0002323465,0.00063966773,0.00010439389,0.00020363559,0.000063772335,0.00013558542,0.00003302167],"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":[0.000024798861,0.00009708094,0.14389725,0.00051558967,0.00022939617,0.0000027134815,0.000029861945,9.575224e-7,0.00006802293,0.8358527,0.010997561,0.008284087],"study_design_scores_gemma":[0.00015179598,0.000040849958,0.69007903,0.0002783108,0.00013300548,0.0000015492905,0.0000033596639,0.0007443454,0.000048506965,0.016825892,0.29148942,0.00020388878],"about_ca_topic_score_codex":0.00025432018,"about_ca_topic_score_gemma":0.000077103,"teacher_disagreement_score":0.81902677,"about_ca_system_score_codex":0.000021421083,"about_ca_system_score_gemma":0.000029323404,"threshold_uncertainty_score":0.99803215},"labels":[],"label_agreement":null},{"id":"W2029279732","doi":"10.1016/j.irfa.2013.12.006","title":"Executive political connections and firm performance: Comparative evidence from privately-controlled and state-owned enterprises","year":2014,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Political Influence and Corporate Strategies","field":"Business, Management and Accounting","cited_by":119,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; University of Ottawa","funders":"","keywords":"Politics; Accounting; Independence (probability theory); State ownership; Business; State (computer science); Control (management); Corporate governance; Market economy; Economics; Finance; Emerging markets; Management; Political science; Law","score_opus":0.03135810878888906,"score_gpt":0.29578997342100355,"score_spread":0.2644318646321145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029279732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886108,0.0026093388,0.0009570473,0.0013027752,0.000098710676,0.00020323906,0.000028933406,0.000018455492,0.0061707105],"genre_scores_gemma":[0.9946695,0.0029576942,0.000081593054,0.0019677526,0.0001946992,0.00003182503,0.000032929423,0.000003359773,0.000060665247],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884754,0.000025960373,0.00046563518,0.00024329858,0.00024509765,0.00017246937],"domain_scores_gemma":[0.99872005,0.00025384445,0.00026543642,0.00011297815,0.00061939633,0.000028289816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025941347,0.00014529451,0.0006153895,0.00019580756,0.000084411484,0.000103527265,0.00016246906,0.000030630694,0.00014875834],"category_scores_gemma":[0.0012383934,0.00011176004,0.00012477384,0.00050612964,0.00019596379,0.0007447339,0.000100214085,0.00008349306,0.000018816214],"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":[0.00053732324,0.00018304246,0.5339796,0.0015654317,0.0014809711,0.000005758622,0.00013729955,0.00006422428,0.0002774574,0.45170158,0.0011183305,0.008948984],"study_design_scores_gemma":[0.0010624758,0.000060612532,0.9391685,0.0037551473,0.0018795691,0.0000010227743,0.00011846385,0.019967299,0.0001993244,0.028009953,0.005428827,0.00034877664],"about_ca_topic_score_codex":0.0013057782,"about_ca_topic_score_gemma":0.00011553255,"teacher_disagreement_score":0.42369163,"about_ca_system_score_codex":0.000017570243,"about_ca_system_score_gemma":0.000036375786,"threshold_uncertainty_score":0.4557442},"labels":[],"label_agreement":null},{"id":"W2034201946","doi":"10.1016/j.irfa.2009.04.001","title":"The effectiveness of the VaR-based portfolio insurance strategy: An empirical analysis","year":2009,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Program for New Century Excellent Talents in University; Ministry of Education of the People's Republic of China","keywords":"Downside risk; Portfolio insurance; Portfolio; Actuarial science; Context (archaeology); Econometrics; Economics; Portfolio optimization; Replicating portfolio; Financial economics","score_opus":0.01948077864206694,"score_gpt":0.29057137452617404,"score_spread":0.2710905958841071,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034201946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86761445,0.04856045,0.046735156,0.0025228534,0.0009932211,0.0012907869,0.0010940499,0.000036517715,0.031152485],"genre_scores_gemma":[0.991588,0.0074465247,0.00008724348,0.0006273905,0.0000547739,0.000027287493,0.000055277887,0.000005836414,0.00010767411],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978773,0.00014000798,0.001185999,0.00036503185,0.00023401559,0.0001976593],"domain_scores_gemma":[0.99761754,0.00013426374,0.0010780334,0.00066308974,0.0004674804,0.000039577666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002470714,0.00017464564,0.00092045654,0.00040776914,0.00013531883,0.00003288734,0.00093366526,0.00006724428,0.00010182737],"category_scores_gemma":[0.0009287839,0.00012279274,0.0011069231,0.005253272,0.000113260125,0.00015917115,0.000042597265,0.00014099061,0.000012065808],"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":[0.00011018814,0.0003357716,0.7833124,0.00024958365,0.0014402652,0.000002627323,0.00001804778,0.0051809605,0.00000882083,0.1911635,0.00017242273,0.018005418],"study_design_scores_gemma":[0.00017820815,0.00006862408,0.9797389,0.00022574277,0.00061563455,1.4784085e-7,0.0000022221343,0.002577583,0.00008177392,0.008797395,0.007577688,0.0001360889],"about_ca_topic_score_codex":0.0002942547,"about_ca_topic_score_gemma":0.00015219046,"teacher_disagreement_score":0.1964265,"about_ca_system_score_codex":0.000084040184,"about_ca_system_score_gemma":0.00009084528,"threshold_uncertainty_score":0.50073427},"labels":[],"label_agreement":null},{"id":"W2047376433","doi":"10.1016/j.irfa.2007.01.003","title":"The dynamics of privatization, the legal environment and stock market development","year":2007,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"HEC Montréal; Université Laval","keywords":"Stock market; Endogeneity; Stock market crash; Stock (firearms); Economics; Crash; Emerging markets; Business; Financial economics; Monetary economics; Market economy; Finance; Econometrics; Geography","score_opus":0.0068325974926689344,"score_gpt":0.21367984350540176,"score_spread":0.20684724601273283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047376433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66289055,0.03297948,0.24700056,0.026048055,0.0010027383,0.0015622058,0.00008538663,0.000033046344,0.028397968],"genre_scores_gemma":[0.982166,0.014030794,0.0004228055,0.0012204294,0.00021439396,0.000017874001,0.000060931663,0.000007861578,0.0018588938],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989162,0.0000061378623,0.0004947941,0.00011893714,0.00037477136,0.00008913643],"domain_scores_gemma":[0.9987867,0.000056891593,0.0006993498,0.00015260634,0.0003001477,0.0000043087107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094324094,0.00008304427,0.0001849086,0.000074853575,0.00010622653,0.000025716005,0.00029490897,0.000018294708,0.000085967455],"category_scores_gemma":[0.00039248503,0.000050474464,0.000085757514,0.00072190136,0.000076622506,0.00017156196,0.0001025589,0.000048983857,0.0000047411777],"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":[0.000053354543,0.00007247793,0.51427615,0.00065604696,0.0003563309,0.0000028455297,0.000019450474,0.00007820224,0.000007744626,0.18921728,0.005779225,0.2894809],"study_design_scores_gemma":[0.000053796542,0.0000018646566,0.66655326,0.00018222515,0.0001408291,2.2230064e-7,0.000004255004,0.0014219037,0.000007578858,0.0001680595,0.3314189,0.000047085574],"about_ca_topic_score_codex":0.0001387732,"about_ca_topic_score_gemma":0.0007354228,"teacher_disagreement_score":0.32563967,"about_ca_system_score_codex":0.0000407912,"about_ca_system_score_gemma":0.000038180482,"threshold_uncertainty_score":0.20582889},"labels":[],"label_agreement":null},{"id":"W2065691091","doi":"10.1016/j.irfa.2015.03.006","title":"The dynamics of economic growth, oil prices, stock market depth, and other macroeconomic variables: Evidence from the G-20 countries","year":2015,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":90,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University","funders":"","keywords":"Economics; Exchange rate; Stock market; Real interest rate; Short run; Granger causality; Real gross domestic product; Econometrics; Interest rate; Stock (firearms); Monetary economics; Inflation (cosmology)","score_opus":0.02230314056961409,"score_gpt":0.2588407653648226,"score_spread":0.2365376247952085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065691091","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43928945,0.41995558,0.022536414,0.021876408,0.0028112568,0.0009976629,0.014019824,0.000038340357,0.078475066],"genre_scores_gemma":[0.7822481,0.21193442,0.0012919308,0.0014625194,0.00029552705,0.00008062652,0.00014514085,0.000031481206,0.0025103036],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981755,0.000057962687,0.0011802679,0.00033902624,0.00009567408,0.00015156638],"domain_scores_gemma":[0.99731064,0.0006811372,0.0012443623,0.00043677015,0.00027112817,0.000055952136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026230682,0.00016142867,0.0006591385,0.0001058507,0.000082777486,0.00006851765,0.000755117,0.0000657914,0.00048267737],"category_scores_gemma":[0.0017942506,0.000120996505,0.00025107418,0.00031818406,0.00021088662,0.0001966947,0.00016037624,0.00011057374,0.000014477803],"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":[0.000070497365,0.000023530689,0.8423123,0.00023736253,0.0006929529,3.543088e-7,0.00007937281,0.000033766395,1.5257284e-7,0.14881258,0.003049357,0.004687823],"study_design_scores_gemma":[0.0005433679,0.000058783604,0.29821762,0.0012316874,0.0006968326,0.0000027662352,0.000053204094,0.46142852,0.0000035537973,0.065177575,0.17212607,0.00046000717],"about_ca_topic_score_codex":0.0052888473,"about_ca_topic_score_gemma":0.008905115,"teacher_disagreement_score":0.5440946,"about_ca_system_score_codex":0.00024012149,"about_ca_system_score_gemma":0.000163817,"threshold_uncertainty_score":0.79951906},"labels":[],"label_agreement":null},{"id":"W2084672481","doi":"10.1016/j.irfa.2015.03.009","title":"On the intensity of liquidity spillovers in the Eurozone","year":2015,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Market liquidity; Spillover effect; Monetary economics; Economics; Liquidity crisis; Financial contagion; Liquidity risk; Equity (law); Financial crisis; Funding liquidity; Liquidity trap; Financial market; Macroeconomics; Finance","score_opus":0.11048269854513719,"score_gpt":0.27305550077357965,"score_spread":0.16257280222844245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084672481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96069735,0.0055618933,0.0005061081,0.011305952,0.00033187776,0.00020873333,0.00026209024,0.0000030181366,0.021122955],"genre_scores_gemma":[0.99195296,0.0037254926,0.000036832975,0.0040799063,0.00005791079,0.000006267264,0.000019749294,0.000002843364,0.000118032716],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989371,0.000038325834,0.00069853367,0.00015136221,0.00007701838,0.00009767597],"domain_scores_gemma":[0.9989475,0.00011183372,0.00053316384,0.0002975778,0.00008488955,0.00002504094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019464381,0.00008342829,0.0004757218,0.00020797944,0.000016693704,0.000008069792,0.00048081548,0.00002901534,0.0003466579],"category_scores_gemma":[0.0030382473,0.000056063487,0.00027569485,0.00068451493,0.000064744825,0.000078493606,0.00004005494,0.00010848082,0.000100798185],"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":[0.00018577662,0.00044704697,0.12395642,0.00028500936,0.0009268796,0.0000079790125,0.001167796,0.0040840693,0.0000033089675,0.8013942,0.06498672,0.0025547869],"study_design_scores_gemma":[0.0008695634,0.00039161372,0.7269775,0.0010124301,0.00037499686,0.0000065989375,0.00012246793,0.020155491,0.00013279283,0.08680691,0.16267297,0.00047664603],"about_ca_topic_score_codex":0.001453921,"about_ca_topic_score_gemma":0.00007516561,"teacher_disagreement_score":0.71458733,"about_ca_system_score_codex":0.00005654888,"about_ca_system_score_gemma":0.000023068143,"threshold_uncertainty_score":0.3795661},"labels":[],"label_agreement":null},{"id":"W2102331007","doi":"10.1016/j.irfa.2011.06.013","title":"Liquidity cost of market orders in the Taiwan Stock Market: A study based on an order-driven agent-based artificial stock market","year":2011,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Market liquidity; Stock market; Order (exchange); Market maker; Market depth; Business; Market microstructure; Stock exchange; Market impact; Financial economics; Order book; Econometrics; Economics; Finance","score_opus":0.058876372120640695,"score_gpt":0.27956431003493243,"score_spread":0.22068793791429173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102331007","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.794277,0.0070507242,0.04785963,0.004181097,0.001531526,0.008134639,0.005541655,0.000082405146,0.13134132],"genre_scores_gemma":[0.9980543,0.00027715022,0.00046463058,0.00051956694,0.00007159835,0.0001702384,0.00009818638,0.000018207187,0.00032607684],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966253,0.00034526864,0.0018577218,0.00057843525,0.0003408428,0.00025244307],"domain_scores_gemma":[0.99708056,0.00013327484,0.0013964248,0.0008161575,0.00050405494,0.00006951697],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0028946153,0.0002798214,0.0012674333,0.0010206259,0.00008682798,0.00003615229,0.0009573199,0.00007907931,0.014562308],"category_scores_gemma":[0.0011123315,0.0002470931,0.000685388,0.0031000911,0.00009088186,0.00014592503,0.00006566174,0.00018321161,0.000019865622],"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":[0.0021887561,0.010372738,0.91757816,0.0017589863,0.0034078765,0.00006842809,0.0011673304,0.0038314082,0.0000058729393,0.014009895,0.017885353,0.027725188],"study_design_scores_gemma":[0.0008674067,0.00078875036,0.7211027,0.00048760694,0.00078588864,5.8217825e-7,0.00020093766,0.25549674,0.0000045290835,0.00044974254,0.019353146,0.00046193812],"about_ca_topic_score_codex":0.0049992823,"about_ca_topic_score_gemma":0.0073324074,"teacher_disagreement_score":0.25166532,"about_ca_system_score_codex":0.00013332025,"about_ca_system_score_gemma":0.000132954,"threshold_uncertainty_score":0.99999815},"labels":[],"label_agreement":null},{"id":"W2169602816","doi":"10.1016/s1057-5219(01)00059-x","title":"A contingent claim analysis of closed-end fund premia","year":2001,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Alberta","funders":"University of Washington; Washington State University","keywords":"Uncorrelated; Economics; Autocorrelation; Econometrics; Net asset value; Risk premium; Capital asset pricing model; Martingale (probability theory); Value (mathematics); Financial economics; Arbitrage; Replicate; Stochastic discount factor; Finance; Mathematics; Statistics","score_opus":0.03716566561503466,"score_gpt":0.27662891630714037,"score_spread":0.23946325069210572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169602816","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5007193,0.17804958,0.010765487,0.0027489632,0.001071082,0.0007097315,0.0020616865,0.000045085584,0.3038291],"genre_scores_gemma":[0.93494624,0.062336568,0.0004764351,0.0008174428,0.00009137142,0.000027068032,0.00024562157,0.000009529469,0.0010497259],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99755037,0.000026670443,0.001645712,0.0003977883,0.00017879845,0.00020064613],"domain_scores_gemma":[0.997639,0.000059059534,0.0014396422,0.00037272857,0.00043240594,0.00005719177],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008311741,0.00018516615,0.001416239,0.0012199661,0.000043660188,0.000024062972,0.00045800468,0.000083263025,0.0037784285],"category_scores_gemma":[0.00082771294,0.00018916256,0.0011100906,0.004818339,0.0001031463,0.00020501867,0.00007073188,0.00009858187,0.000035403937],"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":[0.000048627753,0.00027245106,0.403595,0.00046244668,0.00706684,0.0000071113473,0.000077177734,0.00015682013,0.000018535708,0.5730804,0.0024424528,0.012772104],"study_design_scores_gemma":[0.00024074687,0.00006538821,0.80408067,0.00041697494,0.0030463908,6.642504e-7,0.000009378086,0.0029375067,0.000036603848,0.005304786,0.18359974,0.00026113234],"about_ca_topic_score_codex":0.00089904555,"about_ca_topic_score_gemma":0.00031798208,"teacher_disagreement_score":0.56777567,"about_ca_system_score_codex":0.00008786861,"about_ca_system_score_gemma":0.000063930966,"threshold_uncertainty_score":0.99713224},"labels":[],"label_agreement":null},{"id":"W2210267523","doi":"10.1016/j.irfa.2015.06.001","title":"Earnings forecasts and idiosyncratic volatilities","year":2015,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Concordia University","funders":"","keywords":"Earnings; Cash flow; Economics; Equity (law); Proxy (statistics); Financial economics; Stock (firearms); Econometrics; Volatility (finance); Monetary economics; Finance; Statistics","score_opus":0.0353051322790274,"score_gpt":0.24875799451980057,"score_spread":0.21345286224077317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2210267523","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5324317,0.21529384,0.005977795,0.0048195263,0.0012147853,0.00054176495,0.00043716838,0.0000508275,0.2392326],"genre_scores_gemma":[0.9757699,0.020437827,0.0009989714,0.0009225443,0.000106939835,0.000024241644,0.000054792614,0.000008427227,0.0016763714],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988763,0.000015099288,0.0006767025,0.00022449477,0.00009109745,0.00011631735],"domain_scores_gemma":[0.99906,0.00002614148,0.00045013256,0.0001430665,0.00025665667,0.000064020416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065683475,0.00011286516,0.00056131964,0.00027642216,0.000030415764,0.000028463357,0.00017650117,0.000041690786,0.00033626085],"category_scores_gemma":[0.0019093966,0.000111846784,0.00016826793,0.00068962015,0.00008170053,0.0002555245,0.000054724118,0.00006536984,0.00003933026],"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":[0.000019240068,0.000053893207,0.17842324,0.000633257,0.00035962646,0.0000032807318,0.000239232,0.000013501448,0.0000018566311,0.80586755,0.0074039446,0.0069813724],"study_design_scores_gemma":[0.00051553216,0.00019672597,0.51367515,0.0012218937,0.00032687315,0.000004518371,0.0000584537,0.0058585377,0.00002255681,0.12083574,0.35683295,0.00045103044],"about_ca_topic_score_codex":0.00033220288,"about_ca_topic_score_gemma":0.00003451374,"teacher_disagreement_score":0.68503183,"about_ca_system_score_codex":0.0000433821,"about_ca_system_score_gemma":0.000056229328,"threshold_uncertainty_score":0.45609796},"labels":[],"label_agreement":null},{"id":"W2290655803","doi":"10.1016/j.irfa.2016.01.008","title":"Do targets grab the cash in takeovers: The role of earnings management","year":2016,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of the Fraser Valley","funders":"","keywords":"Accrual; Business; Extant taxon; Earnings management; Earnings; Cash; Equity (law); Mergers and acquisitions; Monetary economics; Accounting; Finance; Economics","score_opus":0.005522857299341899,"score_gpt":0.22306493134290328,"score_spread":0.21754207404356138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2290655803","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4168,0.05389558,0.15717223,0.052407634,0.0021760766,0.004398383,0.00015322948,0.00017508586,0.31282178],"genre_scores_gemma":[0.9888892,0.007753304,0.00010133757,0.0016425569,0.00025700414,0.000055716544,0.000012433961,0.000012200745,0.0012762467],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980951,0.00003127681,0.0006531975,0.00027570408,0.00075350655,0.00019121601],"domain_scores_gemma":[0.99192333,0.000089925976,0.0072074947,0.00035385246,0.00041904772,0.0000063218577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011795446,0.00015957077,0.00037646544,0.0003058381,0.000069686095,0.000039770443,0.00097498804,0.000027325608,0.00079671934],"category_scores_gemma":[0.005634083,0.00008451611,0.00031685646,0.002029501,0.0001115326,0.0003754821,0.00040196956,0.000106069245,0.000096045755],"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":[0.00002706211,0.0000900515,0.23914315,0.0006925744,0.0006371211,0.000010574928,0.000058282087,0.00011962077,0.0000596696,0.13244194,0.0062757595,0.6204442],"study_design_scores_gemma":[0.00018281469,0.0000039013134,0.34959868,0.0015301767,0.00047096502,2.2414505e-7,0.00004316958,0.00016076947,0.000021369304,0.0015939737,0.6462884,0.000105591476],"about_ca_topic_score_codex":0.00067069207,"about_ca_topic_score_gemma":0.0002881871,"teacher_disagreement_score":0.6400126,"about_ca_system_score_codex":0.00006113814,"about_ca_system_score_gemma":0.000017320355,"threshold_uncertainty_score":0.8723518},"labels":[],"label_agreement":null},{"id":"W2561800371","doi":"10.1016/j.irfa.2016.12.003","title":"Limited attention by lenders and small business debt financing: Advertising as attention grabber","year":2016,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; University of Ottawa","funders":"Peking University; National Natural Science Foundation of China","keywords":"Business; Debt; Finance; Financial system","score_opus":0.012331112001054042,"score_gpt":0.22694116831175148,"score_spread":0.21461005631069743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2561800371","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95098346,0.007412347,0.028335933,0.009983078,0.0005568982,0.0003096239,0.00007130745,0.00005147621,0.0022958918],"genre_scores_gemma":[0.9746926,0.020489313,0.000119743905,0.002468565,0.000249025,0.000025003601,0.00017420347,0.000017205944,0.001764379],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99843824,0.000013410069,0.0005821257,0.00038769856,0.00039059,0.00018790943],"domain_scores_gemma":[0.9977928,0.000032004173,0.00083519996,0.0001999741,0.0011262196,0.000013850839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033938824,0.00019838467,0.00043419615,0.00031016883,0.00008479121,0.000053298554,0.00024999687,0.000063729545,0.00016298068],"category_scores_gemma":[0.0010391603,0.00015316076,0.00023668745,0.0019995347,0.00006681876,0.00088458566,0.000094492796,0.00006010837,0.00008175452],"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":[0.00011093456,0.00020553143,0.62842566,0.0021616865,0.00047150714,0.000021398379,0.0000064019227,0.000011452272,0.005150114,0.019317215,0.02430754,0.31981057],"study_design_scores_gemma":[0.00047883845,0.0000084161875,0.90018576,0.0039764843,0.00075956644,0.0000021751337,0.0000027433584,0.00018725648,0.000042516273,0.0009463344,0.09316282,0.0002471077],"about_ca_topic_score_codex":0.0012869403,"about_ca_topic_score_gemma":0.0004162654,"teacher_disagreement_score":0.31956348,"about_ca_system_score_codex":0.000057961603,"about_ca_system_score_gemma":0.0000451504,"threshold_uncertainty_score":0.62457144},"labels":[],"label_agreement":null},{"id":"W2606950878","doi":"10.1016/j.irfa.2017.04.001","title":"Return spillovers between white precious metal ETFs: The role of oil, gold, and global equity","year":2017,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":112,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Economic and Social Research Council; Queen's University; Queen's University Belfast","keywords":"Precious metal; Equity (law); Volatility (finance); Economics; Monetary economics; Alternative investment; Financial economics; Business; Metal","score_opus":0.02121543533519957,"score_gpt":0.2886493387169277,"score_spread":0.2674339033817281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606950878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6620748,0.065554805,0.0014462045,0.0034616815,0.00051021436,0.00028369317,0.0048453724,0.000010833478,0.26181242],"genre_scores_gemma":[0.98278373,0.016465893,0.00017819006,0.000094133866,0.00007619998,0.0000060987436,0.000040231484,0.0000038008423,0.00035172128],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986678,0.000023420389,0.00079115253,0.00026883578,0.00012682832,0.00012200597],"domain_scores_gemma":[0.9978656,0.000041364856,0.0013142435,0.00050877815,0.00022721979,0.000042755953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013589839,0.00011781086,0.00070313294,0.00008295882,0.000081238766,0.000047017667,0.0007248022,0.000059911476,0.00022417624],"category_scores_gemma":[0.0014705573,0.00009881135,0.00039415434,0.00029408414,0.00015398496,0.0001718282,0.00032614422,0.00009024073,0.0000044865833],"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":[0.000009428494,0.000024075447,0.89369214,0.0001790007,0.00051230704,3.6699828e-7,0.000016502334,0.0000011911402,0.0000010172536,0.04693066,0.00008355136,0.058549754],"study_design_scores_gemma":[0.00013819874,0.00002081621,0.9436647,0.00021344963,0.00037301503,5.240711e-7,0.000003731196,0.0046866103,0.0000055384944,0.022716176,0.028059687,0.00011749613],"about_ca_topic_score_codex":0.0011551133,"about_ca_topic_score_gemma":0.00042953578,"teacher_disagreement_score":0.32070893,"about_ca_system_score_codex":0.000064563974,"about_ca_system_score_gemma":0.000033927758,"threshold_uncertainty_score":0.402941},"labels":[],"label_agreement":null},{"id":"W2729405709","doi":"10.1016/j.irfa.2017.07.006","title":"Under-or-overreaction: Market responses to announcements of earnings surprises","year":2017,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Quarter (Canadian coin); Economics; Robustness (evolution); Monetary economics; Momentum (technical analysis); Excess return; Point (geometry); Earnings surprise; Market efficiency; Post-earnings-announcement drift; Financial economics; Finance; Earnings per share; Mathematics","score_opus":0.052825033693448716,"score_gpt":0.30995839214740994,"score_spread":0.25713335845396124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2729405709","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43265745,0.024317198,0.010448365,0.012032245,0.003312232,0.0011687934,0.0035381163,0.00004567337,0.5124799],"genre_scores_gemma":[0.95039535,0.033444047,0.0008999723,0.0011420525,0.00014024213,0.00003912847,0.00005355688,0.000012109003,0.013873527],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99841017,0.000022613374,0.00095995644,0.00030562043,0.0001553379,0.0001463271],"domain_scores_gemma":[0.9975629,0.000062262894,0.0014741594,0.00047971614,0.0003684423,0.000052554522],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008969811,0.00014317052,0.00074500625,0.00040410794,0.00012766675,0.0000536521,0.00062574423,0.000052822972,0.0024158082],"category_scores_gemma":[0.0043468564,0.00013538035,0.00032286026,0.00044663224,0.00010325569,0.00036122435,0.00012935688,0.00007107087,0.000050906587],"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":[0.0005015159,0.00031990296,0.69288206,0.0010945442,0.0013042883,0.000008713232,0.00010263077,0.0000379979,0.000053008043,0.25962842,0.03403618,0.010030715],"study_design_scores_gemma":[0.00014816709,0.00008492105,0.791861,0.0006840794,0.000099620935,5.6604824e-7,0.0000072960447,0.000058293474,0.00003323683,0.002615244,0.20427306,0.00013453791],"about_ca_topic_score_codex":0.001132856,"about_ca_topic_score_gemma":0.00015692708,"teacher_disagreement_score":0.5177379,"about_ca_system_score_codex":0.000071136856,"about_ca_system_score_gemma":0.00009847933,"threshold_uncertainty_score":0.9984961},"labels":[],"label_agreement":null},{"id":"W2787985553","doi":"10.1016/j.irfa.2018.01.009","title":"Basel III capital buffers and Canadian credit unions lending: Impact of the credit cycle and the business cycle","year":2018,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Leverage (statistics); Basel III; Capital requirement; Monetary economics; Loan; Credit risk; Capital adequacy ratio; Financial system; Capital (architecture); Credit cycle; Economics; Business; Business cycle; Finance; Macroeconomics; Market economy","score_opus":0.010274122383799227,"score_gpt":0.24502423816359606,"score_spread":0.23475011577979682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787985553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98159826,0.010283664,0.0007655607,0.0032292723,0.00039237493,0.00025210762,0.00060970784,0.000004663124,0.0028644067],"genre_scores_gemma":[0.9964874,0.0030630801,0.000061469735,0.0001390652,0.00014136905,0.00000864169,0.00002253856,0.0000061689516,0.000070287475],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988287,0.000038119815,0.00063116243,0.00024715526,0.00010751915,0.00014731666],"domain_scores_gemma":[0.9985379,0.00009820327,0.00051621714,0.00031603128,0.00047611294,0.000055544515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010007995,0.00011591343,0.00046996804,0.00029238715,0.00016569221,0.000029414254,0.0003668829,0.00004860223,0.0004354134],"category_scores_gemma":[0.0018220762,0.00008077911,0.0002644646,0.0014690799,0.0005699485,0.00013503274,0.00008390067,0.00007456288,0.0000043229934],"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":[0.000032859163,0.00009416442,0.61495924,0.0002471787,0.0007579778,5.9613154e-7,0.00081472524,0.00045284614,0.000005658147,0.37588805,0.0011681998,0.0055784974],"study_design_scores_gemma":[0.00028341278,0.00001775968,0.9805815,0.00016858085,0.00015811826,0.0000019875524,0.000009133837,0.006533611,0.0000040765203,0.010106713,0.0020429788,0.0000921251],"about_ca_topic_score_codex":0.09684291,"about_ca_topic_score_gemma":0.024475878,"teacher_disagreement_score":0.36578134,"about_ca_system_score_codex":0.00014572259,"about_ca_system_score_gemma":0.00018048953,"threshold_uncertainty_score":0.9933249},"labels":[],"label_agreement":null},{"id":"W2790110130","doi":"10.1016/j.irfa.2018.04.001","title":"Long memory in financial markets: A heterogeneous agent model perspective","year":2018,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Beijing Municipality; Queen's University; National Natural Science Foundation of China; Queen's University Belfast","keywords":"Stylized fact; Capital asset pricing model; Economics; Financial market; Rational expectations; Rational agent; Agent-based model; Asset (computer security); Financial economics; Efficient-market hypothesis; Microeconomics; Econometrics; Computer science; Finance; Stock market; Macroeconomics","score_opus":0.022091291099699414,"score_gpt":0.26271859059021385,"score_spread":0.24062729949051442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790110130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42473778,0.24310485,0.13013814,0.006001417,0.0024413909,0.0018184552,0.0023325225,0.00009918364,0.18932627],"genre_scores_gemma":[0.9882166,0.008141614,0.0006365466,0.0007985042,0.00027212006,0.000046286754,0.000045798482,0.0000144253645,0.0018281131],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977142,0.000032080232,0.0013288475,0.0005320305,0.00015534149,0.0002374935],"domain_scores_gemma":[0.99818146,0.000024316843,0.0007317317,0.00038991746,0.000608269,0.00006431597],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00077235565,0.00019907048,0.0010581661,0.0008591147,0.00006228782,0.000027596536,0.00047729712,0.00007617819,0.0027820661],"category_scores_gemma":[0.001091736,0.00021580732,0.0007531003,0.002248336,0.00009921794,0.00015725335,0.00012705146,0.000111824054,0.00017487533],"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":[0.0004139365,0.0013759303,0.14869143,0.0020171246,0.0056880186,0.00015272923,0.0019964508,0.008186948,0.000026475454,0.78740203,0.010695186,0.033353727],"study_design_scores_gemma":[0.0018321893,0.00031851366,0.4005488,0.0034940697,0.0015482715,0.000024386854,0.00011182804,0.44967225,0.00013277736,0.06144893,0.07893027,0.001937743],"about_ca_topic_score_codex":0.00216607,"about_ca_topic_score_gemma":0.0025006307,"teacher_disagreement_score":0.7259531,"about_ca_system_score_codex":0.00034124995,"about_ca_system_score_gemma":0.000097475124,"threshold_uncertainty_score":0.99812955},"labels":[],"label_agreement":null},{"id":"W2793906868","doi":"10.1016/j.irfa.2018.03.004","title":"Portfolio diversification with virtual currency: Evidence from bitcoin","year":2018,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":637,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Diversification (marketing strategy); Portfolio; Economics; Volatility (finance); Financial market; Financial economics; Autoregressive conditional heteroskedasticity; Spillover effect; Econometrics; Monetary economics; Business; Finance; Microeconomics","score_opus":0.027921276790566208,"score_gpt":0.26607127649623535,"score_spread":0.23814999970566914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793906868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.784322,0.029632267,0.15561597,0.0021280353,0.0010715814,0.0004528253,0.0020087562,0.000035875066,0.024732672],"genre_scores_gemma":[0.98285186,0.015128002,0.0010240519,0.00027637195,0.00015866547,0.000011910074,0.00016986829,0.0000053108874,0.0003739754],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986865,0.000018802204,0.00069349125,0.0003687872,0.00012605009,0.00010640442],"domain_scores_gemma":[0.99834466,0.000058663634,0.0007104087,0.00033182075,0.00050979905,0.000044632536],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00061781285,0.000112644826,0.00047251926,0.00027022537,0.00004818415,0.00002067523,0.0003933894,0.000043144948,0.0037513245],"category_scores_gemma":[0.0011206401,0.0001070094,0.00020968588,0.0012741587,0.0000951027,0.0002417519,0.000062554536,0.0000729688,0.000098858334],"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":[0.000049553877,0.00008838791,0.940917,0.00010041051,0.00047330768,0.0000016929489,0.0000691964,0.00000389924,0.000005989611,0.039047353,0.0016331441,0.01761003],"study_design_scores_gemma":[0.00017706017,0.00013673265,0.9324534,0.0012768637,0.00032326576,4.6085555e-7,0.000004878176,0.029319834,0.000023332504,0.005497466,0.030541118,0.0002456097],"about_ca_topic_score_codex":0.0015357686,"about_ca_topic_score_gemma":0.00033195247,"teacher_disagreement_score":0.19852982,"about_ca_system_score_codex":0.00007491849,"about_ca_system_score_gemma":0.000058470534,"threshold_uncertainty_score":0.99715936},"labels":[],"label_agreement":null},{"id":"W2886746300","doi":"10.1016/j.irfa.2018.08.009","title":"Banks' funding structure and earnings quality","year":2018,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; McMaster University","funders":"","keywords":"Earnings; Earnings quality; Business; Quality (philosophy); Financial system; Economics; Finance; Accrual","score_opus":0.02523799150159719,"score_gpt":0.29727499077284236,"score_spread":0.2720369992712452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886746300","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96871346,0.014110082,0.010559647,0.0009253132,0.00040961948,0.00014534022,0.00027792485,0.000017351365,0.0048412527],"genre_scores_gemma":[0.995754,0.0024260352,0.0010935762,0.0002961885,0.00016344439,0.0000037678178,0.00004372709,0.0000059381437,0.00021332616],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985153,0.000027888374,0.000865381,0.0003518427,0.000110134795,0.00012945184],"domain_scores_gemma":[0.9985387,0.000052690997,0.00072746107,0.00024280798,0.00040226834,0.000036088375],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010605644,0.00010769628,0.0005273618,0.00031587848,0.00007763323,0.000025300204,0.00025385234,0.000058206195,0.0017851929],"category_scores_gemma":[0.002696818,0.00011306672,0.00018861974,0.0012825388,0.0001555993,0.00015079178,0.00007222717,0.000081301914,0.000029929715],"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":[0.0000053585295,0.00002956306,0.7663575,0.0003146193,0.00016599358,2.1639501e-7,0.00014218382,0.0000096290405,0.00001744911,0.22230905,0.00018647806,0.010461955],"study_design_scores_gemma":[0.00008480971,0.00002091426,0.96621406,0.00018096212,0.00007057886,7.088589e-7,0.0000018427093,0.00071135035,0.000033852873,0.009288422,0.023270402,0.00012210647],"about_ca_topic_score_codex":0.0003149258,"about_ca_topic_score_gemma":0.0001119793,"teacher_disagreement_score":0.21302064,"about_ca_system_score_codex":0.00007305652,"about_ca_system_score_gemma":0.000028672941,"threshold_uncertainty_score":0.9991273},"labels":[],"label_agreement":null},{"id":"W2920436263","doi":"10.1016/j.irfa.2019.02.006","title":"Information or noise: What does algorithmic trading incorporate into the stock prices?","year":2019,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Australian Research Council","keywords":"Price discovery; Stock (firearms); Econometrics; Volatility (finance); Stock price; Economics; Financial economics; Order (exchange); Stock market; Computer science; Finance; Series (stratigraphy)","score_opus":0.015220763033766672,"score_gpt":0.24109591063627286,"score_spread":0.22587514760250618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2920436263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7342046,0.14327458,0.017160598,0.021712875,0.00943333,0.0037505592,0.00069714297,0.00011917934,0.06964716],"genre_scores_gemma":[0.8371722,0.15408655,0.001497758,0.0049377317,0.00027236567,0.00013313377,0.00027296544,0.00001648805,0.0016107959],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983422,0.000019804804,0.001124344,0.00020606129,0.00015364906,0.00015393819],"domain_scores_gemma":[0.9980739,0.00005951804,0.0012529504,0.00030671526,0.00027189404,0.00003506265],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008474382,0.00016608153,0.00060678745,0.00038959587,0.0000793431,0.00017162783,0.00054104713,0.00006298039,0.001672277],"category_scores_gemma":[0.0005417442,0.000105278916,0.0003162474,0.0015401088,0.00006207308,0.0020812955,0.0000754653,0.00012379869,0.00025049108],"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":[0.00011400521,0.00014691112,0.0483794,0.0023295716,0.0011415648,0.000002890889,0.0015924317,0.00013225664,0.000015814581,0.7664679,0.0034268093,0.17625038],"study_design_scores_gemma":[0.0007114241,0.00020309465,0.22492385,0.0028343385,0.0003921315,0.000002742428,0.00034187202,0.015843343,0.00009816135,0.05300956,0.70093805,0.0007014163],"about_ca_topic_score_codex":0.00041712972,"about_ca_topic_score_gemma":0.00008910894,"teacher_disagreement_score":0.7134584,"about_ca_system_score_codex":0.00011033747,"about_ca_system_score_gemma":0.00009572971,"threshold_uncertainty_score":0.99924034},"labels":[],"label_agreement":null},{"id":"W2971408432","doi":"10.1016/j.irfa.2019.101384","title":"Discretionary tone, annual earnings and market returns: Evidence from UK Interim Management Statements","year":2019,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Interim; Earnings; Tone (literature); Context (archaeology); Accounting; Business; Earnings management; Economics; Monetary economics; Political science; Geography","score_opus":0.009052667703879294,"score_gpt":0.2834650078385689,"score_spread":0.2744123401346896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971408432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84160715,0.018120904,0.07079458,0.005679658,0.0016576733,0.0018834213,0.0003487327,0.00014132453,0.059766527],"genre_scores_gemma":[0.96351177,0.023763422,0.0011376939,0.0034058404,0.00039631783,0.0000596219,0.00032499037,0.000024780515,0.0073755635],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974414,0.00003155291,0.00078360626,0.0005932058,0.0009225681,0.00022767566],"domain_scores_gemma":[0.991955,0.00007359852,0.00704519,0.0003412942,0.00056527386,0.000019658824],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007859204,0.00025741576,0.000565253,0.00042045978,0.00006669477,0.000107748485,0.0006528223,0.000044013144,0.0066357],"category_scores_gemma":[0.0037752937,0.00024357304,0.00024505027,0.0013287041,0.000067392066,0.0014593699,0.00082647207,0.0001625578,0.00025943038],"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":[0.00018931882,0.00012246819,0.78419334,0.0045942366,0.0019825613,0.00004581963,0.00011015163,0.000085704996,0.00006643023,0.010075881,0.043597575,0.15493649],"study_design_scores_gemma":[0.0002800559,0.000016329755,0.73707885,0.007303148,0.001004745,4.0395975e-7,0.000073111776,0.0012007675,0.0000049854716,0.0005753197,0.25217417,0.00028812964],"about_ca_topic_score_codex":0.0010604535,"about_ca_topic_score_gemma":0.000094359755,"teacher_disagreement_score":0.20857659,"about_ca_system_score_codex":0.000091051756,"about_ca_system_score_gemma":0.000019013965,"threshold_uncertainty_score":0.99427235},"labels":[],"label_agreement":null},{"id":"W3025924009","doi":"10.1016/j.irfa.2020.101515","title":"They're back! Post-financialization diversification benefits of commodities","year":2020,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Financialization; Diversification (marketing strategy); Portfolio; Economics; Financial economics; Commodity; Currency; Monetary economics; Business; Finance","score_opus":0.03615500877163055,"score_gpt":0.24319681890102474,"score_spread":0.20704181012939418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025924009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6288494,0.09444381,0.12223251,0.030092498,0.0015256427,0.0016541615,0.018443054,0.000060143448,0.10269877],"genre_scores_gemma":[0.9827432,0.015219493,0.0003956845,0.0009263888,0.00007058385,0.000007079996,0.00053956744,0.0000062852782,0.00009169997],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985822,0.000022920936,0.00094617484,0.0002495537,0.00011179444,0.000087352535],"domain_scores_gemma":[0.9981185,0.00003954826,0.00096390786,0.00020492698,0.0006319565,0.00004112176],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00043316575,0.00010755141,0.0006086083,0.00019759954,0.000032917687,0.000011057505,0.00036503866,0.00005603392,0.0014945522],"category_scores_gemma":[0.001440902,0.000118107346,0.00034763027,0.0009023425,0.00003958377,0.00015771012,0.0000740437,0.00006326516,0.000033261895],"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":[0.000058885897,0.00014350355,0.49481955,0.0017584378,0.00049387995,4.217368e-7,0.00044215593,0.0002789233,0.000016396829,0.4927028,0.0013930537,0.007891991],"study_design_scores_gemma":[0.00036045993,0.00010207951,0.9051937,0.00068016816,0.0003545479,2.400913e-7,0.000028211958,0.044371445,0.00006952122,0.006096185,0.04242318,0.00032028143],"about_ca_topic_score_codex":0.0005050242,"about_ca_topic_score_gemma":0.00012994057,"teacher_disagreement_score":0.48660663,"about_ca_system_score_codex":0.000041305993,"about_ca_system_score_gemma":0.00004255369,"threshold_uncertainty_score":0.9994182},"labels":[],"label_agreement":null},{"id":"W3034066515","doi":"10.1016/j.irfa.2020.101610","title":"Evaluating corporate credit risks in emerging markets","year":2020,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Emerging markets; Leverage (statistics); Business; Credit default swap; Monetary economics; Financial crisis; Financial system; Corporate governance; Credit risk; Economics; Finance","score_opus":0.15853528752044663,"score_gpt":0.35532911856296007,"score_spread":0.19679383104251344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034066515","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88718545,0.055107888,0.027949456,0.010317946,0.0010789883,0.00060777017,0.00092121627,0.000044414923,0.016786842],"genre_scores_gemma":[0.98102385,0.015759217,0.0020807104,0.00048310572,0.00033071925,0.000034190187,0.00015683187,0.000011789583,0.00011956965],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979537,0.000029523393,0.0013172325,0.00037912055,0.00015332266,0.00016710832],"domain_scores_gemma":[0.99823606,0.000051394796,0.0011773647,0.00018671674,0.00027743808,0.0000710329],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009938051,0.00013828323,0.00073931826,0.00042737028,0.000042907952,0.00001929909,0.0003553506,0.000060363,0.0012421875],"category_scores_gemma":[0.004506542,0.0001603702,0.00036818977,0.0028987678,0.000039893544,0.00017341552,0.0000802015,0.00014900281,0.00011731269],"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":[0.0000439986,0.00009438381,0.85729057,0.00046993344,0.00028234298,0.000011982967,0.00017430758,0.0018990603,0.000021543585,0.09014842,0.001867375,0.04769607],"study_design_scores_gemma":[0.00026758507,0.000031771353,0.93507963,0.00040104115,0.00011801778,4.138789e-7,0.000005812008,0.038925864,0.000009919957,0.0035168913,0.021460388,0.00018267885],"about_ca_topic_score_codex":0.0004161796,"about_ca_topic_score_gemma":0.000072275856,"teacher_disagreement_score":0.093838386,"about_ca_system_score_codex":0.000078652025,"about_ca_system_score_gemma":0.00007345689,"threshold_uncertainty_score":0.9996708},"labels":[],"label_agreement":null},{"id":"W3124535555","doi":"10.1016/j.irfa.2014.02.014","title":"The valuation of catastrophe bonds with exposure to currency exchange risk","year":2014,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Currency; Valuation (finance); Bond; Economics; Financial economics; Monetary economics; Foreign exchange risk; Business; Actuarial science; Finance","score_opus":0.017396660602882814,"score_gpt":0.2441788128168972,"score_spread":0.2267821522140144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124535555","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28279856,0.1265746,0.54030585,0.006802816,0.001784237,0.001893518,0.0021220413,0.000039719347,0.03767862],"genre_scores_gemma":[0.9549543,0.042853553,0.0010942346,0.00032080905,0.00014545872,0.00008320998,0.00007205011,0.000008769823,0.00046760926],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99857694,0.00003352564,0.00083005,0.00024586244,0.00017294724,0.00014068182],"domain_scores_gemma":[0.99813545,0.000049522336,0.0009755168,0.00035847217,0.0004479669,0.000033076834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014769456,0.00011590053,0.0005057827,0.0002679068,0.000081688915,0.000016176273,0.00042742988,0.000029938941,0.00011056498],"category_scores_gemma":[0.0012570723,0.00008894409,0.0002050667,0.0014356511,0.00003948827,0.000096099495,0.000059236318,0.00007824423,0.000064225074],"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":[0.00007030028,0.00014187972,0.22988297,0.00058317377,0.0006203217,7.5653173e-7,0.00021988897,0.00094436883,0.0000032000125,0.4307873,0.0038086232,0.33293724],"study_design_scores_gemma":[0.00032584512,0.00036913526,0.6128253,0.0006454294,0.00039624167,2.8543838e-7,0.0000091370275,0.0012621628,0.000028399209,0.008548811,0.37536645,0.00022283751],"about_ca_topic_score_codex":0.0005985812,"about_ca_topic_score_gemma":0.00039467216,"teacher_disagreement_score":0.67215574,"about_ca_system_score_codex":0.000057750945,"about_ca_system_score_gemma":0.00002869222,"threshold_uncertainty_score":0.3627035},"labels":[],"label_agreement":null},{"id":"W3125071891","doi":"10.1016/j.irfa.2014.10.004","title":"CEO power and the structure of CEO pay","year":2014,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":59,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Power (physics); Scope (computer science); Incentive; Sample (material); Microeconomics; Executive compensation; Compensation (psychology); Economics; Relevance (law); Bargaining power; Relation (database); Business; Accounting; Industrial organization; Psychology; Social psychology; Computer science; Political science","score_opus":0.004788318109748656,"score_gpt":0.2161484104715382,"score_spread":0.21136009236178954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125071891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9186958,0.021553641,0.010876514,0.022879716,0.0014720871,0.0007760199,0.00022469758,0.000036397872,0.023485124],"genre_scores_gemma":[0.9936885,0.002959118,0.000061359904,0.0028360356,0.00023843723,0.0000023924324,0.000021737533,0.0000041468147,0.00018823995],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99909073,0.0000123004675,0.0003789294,0.00014407396,0.00030138512,0.00007260146],"domain_scores_gemma":[0.9985257,0.000041807456,0.00070787314,0.00017996597,0.00054052036,0.0000041307353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033333534,0.000094229996,0.00040112165,0.000107710315,0.000033183664,0.000020155885,0.0002816253,0.000026339747,0.00031337282],"category_scores_gemma":[0.00094135664,0.000052574655,0.00020237765,0.0009787111,0.00009888115,0.00021336442,0.00007682565,0.00006627024,0.0000085910515],"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":[0.00014153375,0.00006767967,0.24739414,0.0021390712,0.00056595786,0.0000022250754,0.000035423196,0.000095918615,0.00020912124,0.66426855,0.01252171,0.07255864],"study_design_scores_gemma":[0.00053789536,0.000006487159,0.65469426,0.00089284836,0.00081173645,5.367764e-7,0.0000027508129,0.0010559756,0.000049252798,0.007432697,0.33438888,0.00012667982],"about_ca_topic_score_codex":0.0004496652,"about_ca_topic_score_gemma":0.00019086154,"teacher_disagreement_score":0.65683585,"about_ca_system_score_codex":0.0000066762545,"about_ca_system_score_gemma":0.000018243083,"threshold_uncertainty_score":0.34312126},"labels":[],"label_agreement":null},{"id":"W3125546605","doi":"10.1016/j.irfa.2017.07.002","title":"Normative portfolio theory","year":2017,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Ex-ante; Portfolio; Economics; Modern portfolio theory; Normative; Econometrics; Systematic risk; Sharpe ratio; Portfolio optimization; Post-modern portfolio theory; Estimation; Equity (law); Financial economics; Actuarial science; Replicating portfolio","score_opus":0.024840968298141385,"score_gpt":0.2715884484075981,"score_spread":0.2467474801094567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125546605","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01698726,0.03855159,0.0060539176,0.0024454284,0.0011297526,0.00026931113,0.00060558727,0.000019728966,0.93393743],"genre_scores_gemma":[0.9409693,0.052658595,0.00060453324,0.0017719461,0.00019288209,0.000035155415,0.00008078543,0.000009974525,0.0036768464],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987427,0.000015457483,0.000783277,0.00023909163,0.00008664527,0.0001328271],"domain_scores_gemma":[0.9978565,0.00002497699,0.0013564243,0.00047666638,0.0002466832,0.00003876689],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00089289184,0.00012430758,0.0006252891,0.00026288474,0.0001523456,0.000065460175,0.00071110204,0.00004755494,0.002745751],"category_scores_gemma":[0.002430828,0.00012128191,0.00041118386,0.0003260084,0.00013933123,0.0004436367,0.0001033031,0.000080536316,0.00017790741],"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":[0.000009637825,0.00004364783,0.032641407,0.0001705926,0.00032912192,0.0000030358337,0.000023036633,0.0000021392366,0.0000011438705,0.95768785,0.003482627,0.0056057735],"study_design_scores_gemma":[0.00016421475,0.000029782643,0.6729677,0.0005602417,0.00017635226,7.7253355e-7,0.0000055215974,0.00017118748,0.000029617582,0.17441383,0.1512789,0.00020189465],"about_ca_topic_score_codex":0.00029388198,"about_ca_topic_score_gemma":0.000025535028,"teacher_disagreement_score":0.9302606,"about_ca_system_score_codex":0.000043076165,"about_ca_system_score_gemma":0.00004619544,"threshold_uncertainty_score":0.99816585},"labels":[],"label_agreement":null},{"id":"W3128019502","doi":"10.1016/j.irfa.2021.101657","title":"Same same but different – Stylized facts of CTA sub strategies","year":2021,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Universiteit Gent; European Commission; Queen's University; Central University of Finance and Economics; University of Technology Sydney; Queen's University Belfast","keywords":"Stylized fact; Contrarian; Volatility clustering; Volatility (finance); Economics; Econometrics; Cluster analysis; Financial market; Financial economics; Finance; Autoregressive conditional heteroskedasticity; Computer science; Artificial intelligence; Macroeconomics","score_opus":0.022325778139239718,"score_gpt":0.26253529628887384,"score_spread":0.24020951814963412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128019502","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9560149,0.023938134,0.004879183,0.00088941137,0.00034651667,0.00014236789,0.0013831906,0.000008630297,0.01239772],"genre_scores_gemma":[0.96324235,0.035361506,0.00029317872,0.000245239,0.000044161563,0.000010659667,0.0002606781,0.000006947758,0.00053525623],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9981603,0.00003657938,0.0012015861,0.00032930376,0.00013575365,0.00013644958],"domain_scores_gemma":[0.99816453,0.00007808916,0.0008406101,0.00034608843,0.0005223589,0.000048347032],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00047474884,0.00014692286,0.0010526794,0.000246814,0.000024894127,0.000029003564,0.0003077828,0.00006384678,0.0020366372],"category_scores_gemma":[0.0012969252,0.00014778192,0.00062528515,0.00087019394,0.000052284133,0.00013144102,0.000097701064,0.00010000489,0.000011241916],"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":[0.000057905636,0.00061668473,0.46818587,0.0028062381,0.002264871,0.000013511659,0.000105263985,0.00005759103,0.00042875358,0.5115183,0.0004805457,0.013464453],"study_design_scores_gemma":[0.0005060358,0.000046668392,0.9145889,0.0009584002,0.00045702438,0.000001698565,0.00003881665,0.018956942,0.000593309,0.04910919,0.01436337,0.00037964323],"about_ca_topic_score_codex":0.0004976828,"about_ca_topic_score_gemma":0.0005423142,"teacher_disagreement_score":0.4624091,"about_ca_system_score_codex":0.00006829509,"about_ca_system_score_gemma":0.00010412418,"threshold_uncertainty_score":0.9988756},"labels":[],"label_agreement":null},{"id":"W3138869928","doi":"10.1016/j.irfa.2021.101742","title":"Government real estate interventions and the stock market","year":2021,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"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","keywords":"Real estate; Stock market; Stock (firearms); Business; Economics; Financial economics; Monetary economics; Psychological intervention; Government (linguistics); Financial system; Finance; Geography; Medicine","score_opus":0.021517038749298712,"score_gpt":0.2582424467596171,"score_spread":0.23672540801031838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138869928","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.058102034,0.03459441,0.007966444,0.010265522,0.0010128716,0.0003571506,0.0008187918,0.000018245128,0.88686454],"genre_scores_gemma":[0.2457637,0.7482149,0.00089431566,0.0007480901,0.000106017476,0.000039011687,0.00006371937,0.000010639866,0.004159594],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987948,0.00003603172,0.00078552414,0.00022186537,0.000066877015,0.00009492212],"domain_scores_gemma":[0.9990555,0.00008095684,0.0004941741,0.00021810726,0.00012041436,0.00003082675],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010682737,0.00008644606,0.0005200973,0.00007039389,0.00005080893,0.00003789224,0.00019200558,0.000027910299,0.0016967896],"category_scores_gemma":[0.0010759017,0.00007747986,0.0005084086,0.00046717364,0.00008000786,0.00009075939,0.00011642884,0.000070563205,0.000022276341],"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":[0.0001417153,0.00029064933,0.13560621,0.0022088953,0.003153858,0.000018340004,0.00026383408,0.0000612616,0.0000023397579,0.48987243,0.014780798,0.35359964],"study_design_scores_gemma":[0.0019122096,0.00004214505,0.38873926,0.0018394126,0.0015475933,0.000013509036,0.000062131774,0.017884903,0.000020546624,0.018398784,0.5690097,0.0005297856],"about_ca_topic_score_codex":0.00026252368,"about_ca_topic_score_gemma":0.0003710579,"teacher_disagreement_score":0.8827049,"about_ca_system_score_codex":0.000083018094,"about_ca_system_score_gemma":0.00002975069,"threshold_uncertainty_score":0.9992158},"labels":[],"label_agreement":null},{"id":"W3150005976","doi":"10.1016/j.irfa.2021.101754","title":"Asymmetric volatility spillover among Chinese sectors during COVID-19","year":2021,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":208,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Science Foundation Ireland","keywords":"Volatility (finance); Spillover effect; Economics; Coronavirus disease 2019 (COVID-19); Financial economics; Volatility swap; Econometrics; Stock market; Monetary economics; Social connectedness; Portfolio; Stock (firearms); Implied volatility; Macroeconomics; Geography","score_opus":0.01376884786683622,"score_gpt":0.2675180696776233,"score_spread":0.2537492218107871,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3150005976","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9428445,0.027719863,0.010519359,0.000793558,0.00053841405,0.00018152958,0.0008455105,0.000021098118,0.016536187],"genre_scores_gemma":[0.9856624,0.011874667,0.0003276023,0.00066160306,0.00010141509,0.000014464918,0.0002189524,0.000009649536,0.0011292378],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99787503,0.000047503203,0.0012059989,0.000526304,0.00016247177,0.0001826945],"domain_scores_gemma":[0.9981124,0.00009561747,0.0007595454,0.00046741808,0.00041752597,0.000147485],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001085936,0.00017966657,0.00088662474,0.0005506971,0.000081420236,0.00003362774,0.00035134517,0.000083038874,0.004796521],"category_scores_gemma":[0.010861789,0.00018718558,0.00074385025,0.004199921,0.000058703157,0.00019409148,0.0001448978,0.00015292407,0.000022292179],"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":[0.0000101316045,0.00009865072,0.99163085,0.0008351322,0.0004077538,0.000011040112,0.00002024091,0.00002844405,0.0000022948616,0.006010974,0.00024572806,0.00069874787],"study_design_scores_gemma":[0.00020140888,0.00000622978,0.9570094,0.000108661094,0.000108089065,0.000001552516,0.0000014556382,0.023405964,0.000005607488,0.0043408712,0.014637016,0.00017374108],"about_ca_topic_score_codex":0.0010250594,"about_ca_topic_score_gemma":0.00067009457,"teacher_disagreement_score":0.042817924,"about_ca_system_score_codex":0.00027409184,"about_ca_system_score_gemma":0.0001331189,"threshold_uncertainty_score":0.99747014},"labels":[],"label_agreement":null},{"id":"W3192047975","doi":"10.1016/j.irfa.2021.101868","title":"Do currency exchange rates impact gold prices? New evidence from the ongoing COVID-19 period","year":2021,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Economics; Monetary economics; Liberian dollar; Exchange rate; Gold as an investment; Currency; Gold standard (test); Distributed lag; International economics; Econometrics; Finance; Medicine; Internal medicine","score_opus":0.06095857146861066,"score_gpt":0.34419480237186323,"score_spread":0.28323623090325256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3192047975","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1853065,0.7476435,0.03602127,0.02196358,0.0009574971,0.0004282414,0.002596214,0.000024200624,0.0050590076],"genre_scores_gemma":[0.7103177,0.28259888,0.0013210125,0.0030445794,0.0005277454,0.00003652976,0.00047002503,0.000016278746,0.0016672856],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998195,0.000059018985,0.00094866165,0.00047389886,0.00015472958,0.00016870082],"domain_scores_gemma":[0.9978148,0.00035553085,0.00086134503,0.00051148585,0.0003286997,0.00012817308],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00126443,0.000169397,0.0006999898,0.0001514877,0.00007157656,0.000107279775,0.0006206345,0.000059274083,0.009715878],"category_scores_gemma":[0.011252682,0.00013996624,0.0006685247,0.001722719,0.00003605603,0.00024633063,0.00017003533,0.00015446571,0.000047412395],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000177103,0.00007148892,0.9593491,0.0004400688,0.0006864283,0.00000936483,0.00030483556,0.00003546249,0.0000042548413,0.010154269,0.009685473,0.019241553],"study_design_scores_gemma":[0.0002840141,0.00003053349,0.79054254,0.001735435,0.00045626855,0.0000032973958,0.000019401794,0.018193278,0.000005326405,0.018326461,0.17003068,0.00037277164],"about_ca_topic_score_codex":0.0069801193,"about_ca_topic_score_gemma":0.0016237579,"teacher_disagreement_score":0.5250112,"about_ca_system_score_codex":0.00028976912,"about_ca_system_score_gemma":0.00046867796,"threshold_uncertainty_score":0.9996325},"labels":[],"label_agreement":null},{"id":"W3192747473","doi":"10.1016/j.irfa.2021.101843","title":"Slowing investment rates in developing economies: Evidence from a Bayesian hierarchical model","year":2021,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"University of Cape Town; Institute for New Economic Thinking","keywords":"Investment (military); Leverage (statistics); Cash flow; Economics; Monetary economics; Panel data; Emerging markets; Econometrics; Finance; Politics","score_opus":0.03102557528272401,"score_gpt":0.2768932163014362,"score_spread":0.2458676410187122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3192747473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83589804,0.03676097,0.09751493,0.023834225,0.0006062024,0.00037341868,0.00009307233,0.000038213126,0.0048809582],"genre_scores_gemma":[0.9334647,0.03243194,0.0073421807,0.025643542,0.00050975726,0.000064360014,0.00021232583,0.000015523363,0.00031566102],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854416,0.000014984277,0.0006568134,0.00035157092,0.00028755917,0.00014490561],"domain_scores_gemma":[0.99884254,0.00006951564,0.00041935444,0.00020380951,0.00045532009,0.000009480531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033344873,0.00014212975,0.00049815397,0.00023225525,0.000036647325,0.00006018719,0.00032914375,0.000039853865,0.00023602562],"category_scores_gemma":[0.0015154309,0.00014085756,0.00023493449,0.0018019783,0.000028990533,0.0008038164,0.00015157228,0.00010316174,0.000034523626],"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":[0.00007898198,0.00020260926,0.7978099,0.0023955398,0.0006258807,0.00017426093,0.000096300464,0.011341132,0.0002808231,0.15105376,0.0055392017,0.030401625],"study_design_scores_gemma":[0.0004607438,0.0000043045347,0.72091293,0.016947128,0.0006251825,7.293571e-7,0.000011538905,0.19904488,0.00024120664,0.022072682,0.03919981,0.00047889136],"about_ca_topic_score_codex":0.0012095241,"about_ca_topic_score_gemma":0.002233896,"teacher_disagreement_score":0.18770374,"about_ca_system_score_codex":0.00011697438,"about_ca_system_score_gemma":0.00030770217,"threshold_uncertainty_score":0.5744005},"labels":[],"label_agreement":null},{"id":"W3196569328","doi":"10.1016/j.irfa.2021.101882","title":"Multilayer financial networks and systemic importance: Evidence from China","year":2021,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":87,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Systemic risk; Linkage (software); Network structure; Financial contagion; Business; China; Diversity (politics); Financial networks; Financial crisis; Finance; Economics; Financial market; Computer science; Geography; Machine learning","score_opus":0.01791921033572777,"score_gpt":0.259792080281667,"score_spread":0.24187286994593923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196569328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63375163,0.3277347,0.035946593,0.0008425235,0.00064093934,0.0002019532,0.00028068578,0.000018306098,0.00058264146],"genre_scores_gemma":[0.93527484,0.062973894,0.0009760616,0.00026527126,0.00021635201,0.000023032702,0.00011541988,0.000009792581,0.00014531301],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99766314,0.00004629883,0.0013351098,0.00061818416,0.00015642383,0.00018082782],"domain_scores_gemma":[0.9980028,0.00012681905,0.0008900879,0.00045271905,0.00047225953,0.000055265795],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009022042,0.000176094,0.0008704915,0.0002020472,0.00007201058,0.000042309228,0.00033951158,0.0001073901,0.001000368],"category_scores_gemma":[0.005021438,0.00019368579,0.00036737637,0.0016327866,0.000079333164,0.00024959535,0.000121077086,0.00014532133,0.000022125134],"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":[0.000011636796,0.000095424584,0.95740396,0.000489171,0.00024436542,0.000010340769,0.00011229793,0.0011231868,0.00001917202,0.02974209,0.0004665479,0.010281812],"study_design_scores_gemma":[0.0001482682,0.000011810912,0.97333735,0.0017498118,0.00020433262,0.000004338352,0.0000026747475,0.018734336,0.000028221095,0.003375233,0.0021988398,0.00020476125],"about_ca_topic_score_codex":0.00051431055,"about_ca_topic_score_gemma":0.0002543627,"teacher_disagreement_score":0.30152324,"about_ca_system_score_codex":0.00013524748,"about_ca_system_score_gemma":0.00012267793,"threshold_uncertainty_score":0.99991286},"labels":[],"label_agreement":null},{"id":"W3204777292","doi":"10.1016/j.irfa.2021.101901","title":"Long-term foreign exchange risk premia and inflation risk","year":2021,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"National Research Foundation of Korea; Ministry of Education","keywords":"Risk premium; Foreign exchange risk; Economics; Inflation (cosmology); Term (time); Liberian dollar; Currency; Exchange rate; Econometrics; Monetary economics; Affine term structure model; Covariance; Financial economics; Yield curve; Interest rate; Finance; Mathematics; Statistics; Physics","score_opus":0.03287066650778986,"score_gpt":0.2569791743617096,"score_spread":0.22410850785391973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204777292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87483907,0.10122667,0.008649196,0.00044164358,0.00024530067,0.00017966621,0.0014218712,0.00001207475,0.012984514],"genre_scores_gemma":[0.7882712,0.20983498,0.0004917665,0.000446534,0.00016273797,0.000012995737,0.00023275535,0.0000072655116,0.0005397555],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986469,0.000034174805,0.000808237,0.00031879474,0.000052739524,0.00013913287],"domain_scores_gemma":[0.99860835,0.000053132357,0.0009281872,0.00025072249,0.000099440746,0.00006015257],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006476768,0.00012462882,0.0005841607,0.00027173563,0.000059138805,0.000029220932,0.00015714685,0.00006581251,0.002181335],"category_scores_gemma":[0.0013575858,0.00013851277,0.0003119682,0.0005442597,0.000035448746,0.0002374536,0.000067704794,0.0001152181,0.000096948716],"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":[0.000008136645,0.000032738793,0.9629454,0.00033523943,0.00060509576,0.0000035850037,0.000059989063,0.00015719899,0.0000010274204,0.0124711655,0.00055042707,0.022829967],"study_design_scores_gemma":[0.00021258365,0.000017553457,0.9780422,0.00023494914,0.00035558612,0.0000032797443,0.0000017072747,0.004561063,0.000027843655,0.00661875,0.009772485,0.00015201073],"about_ca_topic_score_codex":0.00061914563,"about_ca_topic_score_gemma":0.00023894435,"teacher_disagreement_score":0.10860831,"about_ca_system_score_codex":0.00006546331,"about_ca_system_score_gemma":0.000024260671,"threshold_uncertainty_score":0.9987308},"labels":[],"label_agreement":null},{"id":"W4224001363","doi":"10.1016/j.irfa.2022.102127","title":"The role of strategic interactions in risk-taking behavior: A study from asset growth perspective","year":2022,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of the Fraser Valley","funders":"","keywords":"Leverage (statistics); Restructuring; Incentive; Strategic complements; Competition (biology); Asset (computer security); Economics; Monetary economics; Business; Microeconomics; Industrial organization; Financial economics; Finance","score_opus":0.031207530690313144,"score_gpt":0.3047341902747413,"score_spread":0.2735266595844282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224001363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9754555,0.018962,0.00019789574,0.00020407462,0.0002510314,0.0003662761,0.00087735837,0.000006071708,0.0036797596],"genre_scores_gemma":[0.99785143,0.0017953916,0.000083473235,0.00001846661,0.000031052587,0.00014431261,0.00004563804,0.000006126696,0.000024088504],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99820447,0.00012816452,0.0010537758,0.00032641532,0.00017988555,0.0001072631],"domain_scores_gemma":[0.9969717,0.00018464327,0.0021731334,0.0002922719,0.00036287753,0.000015359255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013372353,0.00010018472,0.00047467664,0.00043580963,0.00015236677,0.000021595877,0.00051511044,0.000014784845,0.00084634504],"category_scores_gemma":[0.0017800125,0.00009850441,0.00030455439,0.002019848,0.000052575844,0.000106139385,0.00013122718,0.00021752862,0.000005322114],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010215262,0.000592572,0.8434515,0.000010328612,0.00021529887,8.0117877e-7,0.0005866227,0.0003246919,0.0000028490426,0.15334518,0.000006691535,0.0014532423],"study_design_scores_gemma":[0.0001402078,0.000046753143,0.93835634,0.000044074583,0.00020498387,3.368907e-7,0.001053686,0.0029854013,0.000004287712,0.05647878,0.00059614074,0.000089035115],"about_ca_topic_score_codex":0.018532285,"about_ca_topic_score_gemma":0.004814621,"teacher_disagreement_score":0.09686641,"about_ca_system_score_codex":0.00041300702,"about_ca_system_score_gemma":0.00007029706,"threshold_uncertainty_score":0.9880034},"labels":[],"label_agreement":null},{"id":"W4280528405","doi":"10.1016/j.irfa.2022.102213","title":"Air pollution and executive incentive: Evidence from pay-performance sensitivity","year":2022,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Basic Research Program of Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Incentive; Air pollution; Pollution; Air quality index; China; Business; Damages; Environmental economics; Economics; Natural resource economics; Microeconomics","score_opus":0.016346795970055013,"score_gpt":0.22881799912915518,"score_spread":0.21247120315910017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280528405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96177566,0.026427118,0.004888916,0.0029675835,0.00044379162,0.00019909923,0.001335167,0.000013513674,0.0019491472],"genre_scores_gemma":[0.954304,0.043531228,0.00041795755,0.0011953366,0.00006408267,0.000042716183,0.0001108517,0.000007587772,0.0003262639],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985533,0.00006246013,0.00069966057,0.00044423633,0.00010674599,0.00013359147],"domain_scores_gemma":[0.9987963,0.00007279284,0.00079349463,0.0002418278,0.00005348526,0.000042099662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091675564,0.00013001465,0.00055840664,0.0002740421,0.00011057473,0.000010010745,0.00022811974,0.000030582025,0.0007654247],"category_scores_gemma":[0.0005217822,0.00014369645,0.00020471384,0.0006532282,0.00007436252,0.0003137116,0.0002765033,0.00014814078,0.0000372002],"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":[0.00006521449,0.00020398041,0.93244267,0.0002765377,0.0011079712,0.000010952655,0.00022088103,0.0055745267,0.00012574895,0.04172908,0.001756637,0.01648582],"study_design_scores_gemma":[0.00016310404,0.000036871665,0.95913965,0.0002803707,0.00014839534,0.0000016564912,0.000011341751,0.008930384,0.0001415131,0.0016826555,0.029260343,0.00020371744],"about_ca_topic_score_codex":0.0012202053,"about_ca_topic_score_gemma":0.000072287905,"teacher_disagreement_score":0.040046427,"about_ca_system_score_codex":0.00033513055,"about_ca_system_score_gemma":0.000031677864,"threshold_uncertainty_score":0.83808637},"labels":[],"label_agreement":null},{"id":"W4297498940","doi":"10.1016/j.irfa.2022.102378","title":"Internal whistleblowing and stock price crash risk","year":2022,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Business; Stock price; Crash; Corporate governance; Stock (firearms); Empirical evidence; Propensity score matching; Instrumental variable; Accounting; Monetary economics; Economics; Econometrics; Finance; Computer science; Engineering","score_opus":0.006731036406675802,"score_gpt":0.23247108530502508,"score_spread":0.22574004889834928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297498940","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5255488,0.024265386,0.3544521,0.006539082,0.0025436217,0.001201206,0.00024004072,0.0002113294,0.08499841],"genre_scores_gemma":[0.9883113,0.004548185,0.00037151927,0.0042387336,0.0005540648,0.00006854872,0.000083828134,0.000018905896,0.0018049028],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980943,0.000030723466,0.00055512507,0.0003538293,0.0007938202,0.0001721558],"domain_scores_gemma":[0.99055934,0.000043665623,0.008813695,0.00019942746,0.00037187221,0.000012000399],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00094504043,0.00015995861,0.00041640562,0.0004425685,0.00022547207,0.00007265072,0.0005866203,0.000017792538,0.0024329207],"category_scores_gemma":[0.010116172,0.00016562197,0.00026968843,0.0018967154,0.00004261056,0.00044170266,0.0008701544,0.00025224473,0.00003710623],"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":[0.00003369873,0.00013885535,0.55581325,0.0013577009,0.0009620057,0.000030474966,0.000048524274,0.0006838511,0.0000259904,0.02152175,0.022268146,0.39711574],"study_design_scores_gemma":[0.00019899024,0.000010071256,0.28720564,0.0004396678,0.0009595287,0.0000015079952,0.00001779997,0.003517789,0.000002329707,0.0005128855,0.7069446,0.00018922031],"about_ca_topic_score_codex":0.0010608179,"about_ca_topic_score_gemma":0.0000830903,"teacher_disagreement_score":0.6846764,"about_ca_system_score_codex":0.00010171436,"about_ca_system_score_gemma":0.000029861676,"threshold_uncertainty_score":0.998479},"labels":[],"label_agreement":null},{"id":"W4304687984","doi":"10.1016/j.irfa.2022.102388","title":"Media coverage and the decision to withdraw an IPO","year":2022,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Wilfrid Laurier University","funders":"","keywords":"Initial public offering; Proxy (statistics); Business; Ask price; Sample (material); Media coverage; Outcome (game theory); Dissemination; Monetary economics; Advertising; Actuarial science; Accounting; Economics; Finance; Microeconomics; Computer science; Statistics; Mathematics; Telecommunications","score_opus":0.009104674368105851,"score_gpt":0.24031550262592444,"score_spread":0.23121082825781858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4304687984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92931235,0.01680922,0.019667856,0.022805257,0.0015726425,0.00097200985,0.00027329178,0.00004458769,0.0085428],"genre_scores_gemma":[0.98142356,0.0034296925,0.0001262179,0.0143592665,0.00035101763,0.000063934254,0.000072295414,0.0000066541115,0.00016736513],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99877506,0.000018131414,0.00034215424,0.00020972328,0.000568383,0.000086567794],"domain_scores_gemma":[0.9990082,0.000070330156,0.00037658034,0.0002067968,0.00032901767,0.000009115779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008071614,0.00009275727,0.00033217334,0.00018472657,0.00013767362,0.00004541304,0.00043653484,0.000011272532,0.00066268904],"category_scores_gemma":[0.0010466598,0.00006691247,0.0001489858,0.0019650818,0.00004036286,0.00034011132,0.00026060245,0.00008277575,0.000022872431],"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":[0.0009278372,0.00025458072,0.12780526,0.0005374645,0.00040417907,0.000039684706,0.00015781255,0.0026401414,0.000024605773,0.33798912,0.047612842,0.48160645],"study_design_scores_gemma":[0.0005363741,0.000011695472,0.39586458,0.00027526965,0.00046976726,0.0000013324538,0.000009702493,0.0018098869,0.0000015728069,0.00431233,0.5965752,0.00013227237],"about_ca_topic_score_codex":0.000755158,"about_ca_topic_score_gemma":0.00057383324,"teacher_disagreement_score":0.54896235,"about_ca_system_score_codex":0.000026915433,"about_ca_system_score_gemma":0.000032159413,"threshold_uncertainty_score":0.725598},"labels":[],"label_agreement":null},{"id":"W4319022798","doi":"10.1016/j.irfa.2023.102493","title":"Taxing bitcoin: Incentivizing the difficulty adjustment mechanism to reduce electricity usage","year":2023,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"York University","keywords":"Electricity; Commodity; Economics; Microeconomics; Subsidy; Economic rent; Payment; Industrial organization; Monetary economics; Market economy; Finance","score_opus":0.014334101678525205,"score_gpt":0.28278173648054666,"score_spread":0.26844763480202144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319022798","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.077206835,0.0047055203,0.88724846,0.028941039,0.0004381396,0.0007033556,0.00003641769,0.00024625103,0.00047399005],"genre_scores_gemma":[0.9803231,0.009959378,0.0069236206,0.0022295609,0.00009332265,0.00022908166,0.000027170394,0.000005332704,0.00020943441],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857587,0.000057352536,0.0004102335,0.00034089535,0.00043100413,0.000184641],"domain_scores_gemma":[0.9987552,0.00007781917,0.00022935671,0.00051120354,0.00038779818,0.000038633687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078717363,0.000109911445,0.00028839716,0.00037286134,0.00014048975,0.000025211066,0.001514772,0.000047425765,0.000022220089],"category_scores_gemma":[0.0006061329,0.000080051745,0.00022481172,0.0073380573,0.00002958719,0.00008343402,0.00044415536,0.00013931355,0.00005893012],"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":[0.00000223131,0.00009417074,0.00026283134,0.00009442615,0.00025556498,0.000004912734,0.00013624296,0.0000848934,0.0017843164,0.7921951,0.0048678555,0.2002175],"study_design_scores_gemma":[0.00074855046,0.00025565442,0.29399386,0.0033755319,0.0017860436,0.000027264505,0.00006963407,0.30730978,0.03902952,0.133411,0.21840745,0.001585698],"about_ca_topic_score_codex":0.00008899058,"about_ca_topic_score_gemma":0.00004843879,"teacher_disagreement_score":0.9031163,"about_ca_system_score_codex":0.00007812095,"about_ca_system_score_gemma":0.00006741934,"threshold_uncertainty_score":0.35256934},"labels":[],"label_agreement":null},{"id":"W4319319981","doi":"10.1016/j.irfa.2023.102563","title":"Impact of public demands on the performance of hedge fund activist engagements","year":2023,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hedge fund; Sample (material); Term (time); Quarter (Canadian coin); Business; Economics; Finance; Geography","score_opus":0.05728178665158658,"score_gpt":0.30557606221148065,"score_spread":0.24829427555989408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319319981","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99535704,0.00041558975,0.000118361895,0.0006366464,0.000121767436,0.00013188893,0.0000522488,0.000009614287,0.0031568757],"genre_scores_gemma":[0.9940068,0.0051391115,0.0000049453984,0.00030201225,0.00014354242,0.000016890903,0.00006663851,0.0000062813697,0.0003137556],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987128,0.00001660624,0.0004903283,0.00015672848,0.00049483136,0.00012869906],"domain_scores_gemma":[0.99791414,0.00006889713,0.0010309939,0.0002524806,0.00072747533,0.000005999128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008864276,0.00011779824,0.0003978024,0.00036654435,0.000053672637,0.00001860744,0.0004689221,0.000023600203,0.00037458335],"category_scores_gemma":[0.0009114477,0.00007823222,0.0004211926,0.003836793,0.000056396133,0.00037470713,0.000103922495,0.00008344128,0.00006536616],"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":[0.000041904095,0.00015455781,0.94661933,0.0012823232,0.00065110903,0.0000020229745,0.0000106900725,0.0003094268,0.00012177803,0.015085407,0.00993554,0.025785912],"study_design_scores_gemma":[0.00012519873,0.0000266974,0.9856193,0.00092791516,0.0002464114,7.615177e-8,0.0000025720087,0.0023907626,0.000056440847,0.00009067593,0.010439086,0.000074847965],"about_ca_topic_score_codex":0.00025943012,"about_ca_topic_score_gemma":0.00004587145,"teacher_disagreement_score":0.038999986,"about_ca_system_score_codex":0.000033472825,"about_ca_system_score_gemma":0.00006533524,"threshold_uncertainty_score":0.41014248},"labels":[],"label_agreement":null},{"id":"W4320351692","doi":"10.1016/j.irfa.2023.102497","title":"The impacts of futures trading on volatility and volatility asymmetry of Bitcoin returns","year":2023,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Futures contract; Volatility (finance); Economics; Leverage effect; Econometrics; Leverage (statistics); Financial economics; Volatility swap; Forward volatility; Volatility smile; Realized variance; Autoregressive conditional heteroskedasticity; Implied volatility; Mathematics; Statistics","score_opus":0.009532384287154753,"score_gpt":0.2834302525345342,"score_spread":0.27389786824737944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320351692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97137254,0.009372535,0.0130339665,0.0053069806,0.00012820459,0.00023448738,0.00007978535,0.000041043182,0.00043047935],"genre_scores_gemma":[0.9929486,0.0062689325,0.0006550753,0.0000802085,0.00001531218,0.000009948358,0.000007640789,0.0000016780823,0.000012602653],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987887,0.000058994105,0.00053702644,0.00020657992,0.00031463004,0.00009402734],"domain_scores_gemma":[0.99842775,0.00027207268,0.000420863,0.0004668942,0.000387119,0.000025281422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011598137,0.00008102841,0.0003465696,0.0002507569,0.00007403242,0.000008367499,0.0006870654,0.00005727399,0.000009227928],"category_scores_gemma":[0.0014037354,0.000056425404,0.000196508,0.0027765534,0.00013549898,0.00006258017,0.00013957464,0.00011509889,6.1142714e-7],"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":[0.000027475184,0.00019711036,0.08883613,0.0010335936,0.0006798878,0.0000019947706,0.00037294155,0.000006456874,0.0005260086,0.5460056,0.0028319063,0.3594809],"study_design_scores_gemma":[0.00013350353,0.00007839387,0.78209823,0.00062803866,0.0002031444,0.0000013038531,0.00002032757,0.1829365,0.003460497,0.027018437,0.003303243,0.00011837789],"about_ca_topic_score_codex":0.000102064725,"about_ca_topic_score_gemma":0.0001524352,"teacher_disagreement_score":0.6932621,"about_ca_system_score_codex":0.000019305391,"about_ca_system_score_gemma":0.00005714209,"threshold_uncertainty_score":0.23009612},"labels":[],"label_agreement":null},{"id":"W4322761367","doi":"10.1016/j.irfa.2023.102611","title":"The destabilizing effect of mutual fund herding: Evidence from China","year":2023,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Science and Technology Commission of Shanghai Municipality; National Office for Philosophy and Social Sciences; National Natural Science Foundation of China","keywords":"Herding; Mutual fund; Endogeneity; Volatility (finance); Economics; Herd behavior; Stock (firearms); China; Monetary economics; Systematic risk; Target date fund; Stock market; Financial economics; Closed-end fund; Business; Open-end fund; Finance; Institutional investor; Econometrics; Corporate governance; Market liquidity; Geography","score_opus":0.04360923268007104,"score_gpt":0.293323807006179,"score_spread":0.24971457432610794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322761367","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89641935,0.090306595,0.0005805008,0.0016061146,0.00082210754,0.0003158878,0.00030626915,0.000027107986,0.009616056],"genre_scores_gemma":[0.90943736,0.08989131,0.00008988235,0.00006442324,0.00010805819,0.000036967016,0.00005123536,0.000008276969,0.0003125024],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983522,0.000054301214,0.0009926482,0.00028408752,0.00014722986,0.00016952492],"domain_scores_gemma":[0.9981972,0.0005537034,0.0007706192,0.0003077437,0.00013879397,0.000031930846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017617553,0.00014116628,0.00071063195,0.00025470834,0.00009564336,0.000034134613,0.00053067645,0.000048340444,0.00029366897],"category_scores_gemma":[0.0048600677,0.00010807525,0.00048876664,0.001965765,0.0001230013,0.00022170153,0.00010786422,0.000093436494,0.00009512479],"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":[0.00015393297,0.000067215704,0.6468689,0.0016262186,0.0014261807,0.0000085126985,0.0002794701,0.000191879,0.00017528048,0.2973073,0.0079499325,0.043945175],"study_design_scores_gemma":[0.00018734537,0.00014955539,0.95155215,0.00221106,0.00029170106,3.043227e-7,0.000010870173,0.0026610235,0.00037231267,0.01076424,0.031595543,0.00020391429],"about_ca_topic_score_codex":0.0009409104,"about_ca_topic_score_gemma":0.00009312426,"teacher_disagreement_score":0.30468324,"about_ca_system_score_codex":0.000055701,"about_ca_system_score_gemma":0.000044126606,"threshold_uncertainty_score":0.5818306},"labels":[],"label_agreement":null},{"id":"W4353046781","doi":"10.1016/j.irfa.2023.102622","title":"Covariance dependent kernels, a Q-affine GARCH for multi-asset option pricing","year":2023,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Institut Canadien des Dérivés; Mitacs","keywords":"Econometrics; Valuation of options; Stochastic discount factor; Bivariate analysis; Volatility (finance); Marginal likelihood; Affine transformation; Mathematics; Capital asset pricing model; Covariance; Autoregressive conditional heteroskedasticity; Economics; Statistics; Maximum likelihood","score_opus":0.08868110234042348,"score_gpt":0.33579450168781116,"score_spread":0.24711339934738769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4353046781","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041092467,0.029387377,0.9248317,0.0010981505,0.0009496783,0.0007043284,0.0013133019,0.000064292064,0.00055868796],"genre_scores_gemma":[0.88105476,0.09461707,0.019737002,0.0005433601,0.00051077787,0.0003249718,0.0011037482,0.00003917277,0.0020691198],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979838,0.000016501952,0.0011744881,0.0004530261,0.00013400245,0.0002381684],"domain_scores_gemma":[0.9985026,0.000075196695,0.00062915304,0.00026445277,0.00048256505,0.000046031666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015440278,0.00015361422,0.0007281532,0.00061291934,0.00008540814,0.000026243768,0.00038129505,0.0000722702,0.00013229664],"category_scores_gemma":[0.002841131,0.00017230179,0.00048998534,0.0020591829,0.000026122845,0.00017395073,0.00008324391,0.00011821866,0.0001424406],"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":[0.00015505949,0.00057130784,0.14466347,0.0049408767,0.0012786083,0.000008832307,0.00039640357,0.0091703385,0.00015971673,0.6706335,0.004549231,0.16347267],"study_design_scores_gemma":[0.00089897227,0.00006184362,0.2040987,0.0014542675,0.00033502208,0.0000010353048,0.0000071638997,0.6675572,0.000080621154,0.014650175,0.11039497,0.00046006034],"about_ca_topic_score_codex":0.0003540312,"about_ca_topic_score_gemma":0.00015560853,"teacher_disagreement_score":0.90509474,"about_ca_system_score_codex":0.00012835073,"about_ca_system_score_gemma":0.000072958064,"threshold_uncertainty_score":0.7026263},"labels":[],"label_agreement":null},{"id":"W4382561827","doi":"10.1016/j.irfa.2023.102776","title":"The improvement of legal system, entrepreneur immigration, and corporate cash holdings","year":2023,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":13,"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":"Instrumental variable; Cash; Immigration; Business; Matching (statistics); China; Cash management; Propensity score matching; Monetary economics; Economics; Finance; Law; Econometrics; Political science","score_opus":0.011059945887422342,"score_gpt":0.22166862366898238,"score_spread":0.21060867778156003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382561827","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860967,0.0072539975,0.00054773985,0.0037527615,0.0006301113,0.00036830304,0.000092984425,0.00004457235,0.0012128326],"genre_scores_gemma":[0.9807919,0.017785925,0.000011504843,0.00042807663,0.00021337022,0.000028886416,0.0000637532,0.000006053158,0.00067053275],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987244,0.0000063784187,0.00057488075,0.00019494408,0.00038787717,0.000111529414],"domain_scores_gemma":[0.9975956,0.000034478056,0.0013444758,0.00018775125,0.00083117734,0.000006505951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058221625,0.00010701891,0.00032021102,0.0001837667,0.00008530923,0.000053643816,0.0002653263,0.000021945612,0.000021558204],"category_scores_gemma":[0.00038298615,0.000078063604,0.00017363126,0.002210591,0.000056699577,0.00032484307,0.00011065622,0.000046835572,0.000027434698],"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":[0.000095077616,0.000089420006,0.40350068,0.00656666,0.00085676165,0.000039354745,0.000030516921,0.00024960988,0.0017340641,0.44123772,0.040692095,0.10490804],"study_design_scores_gemma":[0.0003560725,0.000022620019,0.7979741,0.0026627087,0.0010951564,0.0000015989899,0.000047629084,0.0070591243,0.00034568988,0.0010649632,0.18912995,0.00024036285],"about_ca_topic_score_codex":0.001335227,"about_ca_topic_score_gemma":0.0004261174,"teacher_disagreement_score":0.44017276,"about_ca_system_score_codex":0.000022554264,"about_ca_system_score_gemma":0.000041868094,"threshold_uncertainty_score":0.31833413},"labels":[],"label_agreement":null},{"id":"W4383197394","doi":"10.1016/j.irfa.2023.102777","title":"International high-frequency arbitrage for cross-listed stocks","year":2023,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Université de Montréal","funders":"","keywords":"Statistical arbitrage; Arbitrage; Index arbitrage; High-frequency trading; Pairs trade; Mean reversion; Economics; Financial economics; Risk arbitrage; Trading strategy; Fixed income arbitrage; Algorithmic trading; Order (exchange); Profit (economics); Limits to arbitrage; Econometrics; Stock (firearms); Business; Finance; Arbitrage pricing theory; Microeconomics; Alternative trading system; Capital asset pricing model; Geography","score_opus":0.03220397074324597,"score_gpt":0.2969030531760198,"score_spread":0.2646990824327738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383197394","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3397544,0.0423401,0.043622665,0.02608277,0.017675698,0.0035583887,0.020871138,0.00051586056,0.505579],"genre_scores_gemma":[0.92820513,0.052662622,0.0036714857,0.0029163952,0.0009333202,0.00049242727,0.0031965123,0.000047404785,0.007874697],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9979266,0.000012451607,0.0012267875,0.0004397742,0.00015694069,0.00023745658],"domain_scores_gemma":[0.99829215,0.00007427078,0.00076743856,0.00028568538,0.0005283428,0.000052132338],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008507204,0.00018306878,0.0007075052,0.0007292538,0.00008218936,0.00006999303,0.00067243725,0.000089943635,0.0015891144],"category_scores_gemma":[0.0021190252,0.0001948999,0.0006095776,0.0018609664,0.00009140376,0.00033386814,0.00008203398,0.00011219735,0.00019088625],"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":[0.000026938893,0.000086986285,0.036350016,0.00047726263,0.0006546738,0.000005075877,0.000027679818,0.00008280676,0.000026577916,0.9482039,0.010119348,0.003938727],"study_design_scores_gemma":[0.0006317387,0.0000737546,0.6090318,0.00056179933,0.00019241618,0.0000010172691,0.0000049668283,0.0022823848,0.000055521115,0.08853357,0.29823366,0.0003973967],"about_ca_topic_score_codex":0.0004080922,"about_ca_topic_score_gemma":0.000038522,"teacher_disagreement_score":0.85967034,"about_ca_system_score_codex":0.00010931211,"about_ca_system_score_gemma":0.000075210664,"threshold_uncertainty_score":0.99932355},"labels":[],"label_agreement":null},{"id":"W4385623434","doi":"10.1016/j.irfa.2023.102840","title":"Extreme downside risk in the cross-section of asset returns","year":2023,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"Tinbergen Institute; University College London; Bank of Canada","keywords":"Downside risk; Extreme value theory; Economics; Tail risk; Financial crisis; Value at risk; Financial risk; Financial economics; Business; Monetary economics; Econometrics; Risk management; Finance; Mathematics; Statistics","score_opus":0.047908454204180946,"score_gpt":0.29016476402262986,"score_spread":0.24225630981844892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385623434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91690165,0.020974852,0.0006318288,0.0018886653,0.0011528492,0.0004422344,0.0012271934,0.000026164089,0.056754585],"genre_scores_gemma":[0.9429045,0.056033928,0.00009591139,0.000336716,0.00012516345,0.000034300447,0.00013510432,0.0000056630024,0.0003287458],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983976,0.00004438675,0.001059408,0.0002330691,0.00013228522,0.00013323879],"domain_scores_gemma":[0.99858916,0.00009349899,0.0008636576,0.0002580919,0.00018016742,0.000015439218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018948147,0.00010426963,0.0005200493,0.0005694807,0.000040777297,0.000025547171,0.00039279804,0.000058768448,0.00039643666],"category_scores_gemma":[0.002143544,0.0000865807,0.00036529603,0.0030587972,0.000074657524,0.00018894498,0.00004204374,0.0001283522,0.00005155465],"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":[0.000019485133,0.00009208616,0.7062641,0.0004149359,0.00021756203,0.000005102455,0.00016066022,0.0002165509,0.000011603323,0.28428847,0.0059776204,0.0023318594],"study_design_scores_gemma":[0.00012227488,0.000028177774,0.94365084,0.00023933039,0.00006151632,4.479621e-7,0.000012576559,0.0008122486,0.00001257,0.023555772,0.031417277,0.00008695314],"about_ca_topic_score_codex":0.0013175313,"about_ca_topic_score_gemma":0.00043835034,"teacher_disagreement_score":0.2607327,"about_ca_system_score_codex":0.000044789867,"about_ca_system_score_gemma":0.00003779895,"threshold_uncertainty_score":0.43407035},"labels":[],"label_agreement":null},{"id":"W4386385373","doi":"10.1016/j.irfa.2023.102896","title":"Market uncertainty, persistent arbitrage-free violation, and price discovery in RMB market","year":2023,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Social Sciences and Humanities Research Council of Canada; Ministry of Science and Technology, Taiwan","keywords":"Price discovery; Arbitrage; Economics; Renminbi; Equity (law); Monetary economics; Financial economics; Exchange rate","score_opus":0.014414139863567876,"score_gpt":0.24208941410506954,"score_spread":0.22767527424150166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386385373","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69040155,0.047306765,0.0055993716,0.013265622,0.0011717372,0.0011992034,0.003973725,0.0000725536,0.23700947],"genre_scores_gemma":[0.9337392,0.05994866,0.00025069524,0.0005334147,0.00007449166,0.000046651356,0.00021806,0.000012444422,0.0051763766],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99825776,0.000043107873,0.0009835879,0.00040674262,0.00012709266,0.00018168501],"domain_scores_gemma":[0.99883723,0.00013215638,0.00047165164,0.00035295024,0.00015786664,0.00004816381],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020032804,0.0001435564,0.0006603372,0.00067889545,0.000038595877,0.000042912023,0.00038300455,0.0000631517,0.0013865156],"category_scores_gemma":[0.0024925855,0.00015261899,0.00038340918,0.0022111547,0.0000497981,0.00023826788,0.00018308699,0.00013326904,0.000010330375],"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":[0.000077573175,0.00010919135,0.93252575,0.0010811702,0.00053523213,0.000008618928,0.00006555632,0.00012627865,0.0000011928636,0.049877383,0.011737068,0.003854965],"study_design_scores_gemma":[0.00023387554,0.000019237285,0.7781067,0.00041025816,0.000083510124,7.453898e-7,0.0000074491027,0.18417566,2.2214334e-7,0.013602895,0.023199426,0.00016001647],"about_ca_topic_score_codex":0.00058534235,"about_ca_topic_score_gemma":0.000510059,"teacher_disagreement_score":0.24333766,"about_ca_system_score_codex":0.000124559,"about_ca_system_score_gemma":0.00004725856,"threshold_uncertainty_score":0.9995264},"labels":[],"label_agreement":null},{"id":"W4386609729","doi":"10.1016/j.irfa.2023.102916","title":"GameFi: The perfect symbiosis of blockchain, tokens, DeFi, and NFTs?","year":2023,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Concordia University","keywords":"Blockchain; Incentive; Computer science; Clan; Proposition; Function (biology); Profit (economics); Shapley value; Microeconomics; Game theory; Economics; Computer security; Biology; Political science; Epistemology; Evolutionary biology; Law","score_opus":0.008649864994664,"score_gpt":0.259489820349403,"score_spread":0.25083995535473896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386609729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7841536,0.08247048,0.0743777,0.055444807,0.00041884297,0.00088142924,0.00015494996,0.0002836346,0.0018145851],"genre_scores_gemma":[0.9676936,0.030422049,0.0011720045,0.0005659064,0.000021761502,0.000046666482,0.000009678223,0.00000275931,0.00006553779],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989464,0.00004467933,0.00039622324,0.00022874927,0.0002786275,0.00010530795],"domain_scores_gemma":[0.9987152,0.00013091393,0.00025224886,0.00045178857,0.00042743108,0.000022383994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006787536,0.000086912725,0.00032109173,0.00028593445,0.000066629254,0.000011168049,0.00088796957,0.00005072286,0.000024400097],"category_scores_gemma":[0.0005668648,0.00006245459,0.00020417063,0.0033482404,0.00012205875,0.000035203837,0.00029362435,0.00009498551,0.000010026919],"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":[0.0000043508912,0.00011556885,0.019800946,0.0005987646,0.00071494374,0.000004873159,0.00027021737,0.000051794887,0.00033105657,0.71113014,0.006225647,0.26075172],"study_design_scores_gemma":[0.00085311703,0.0002968576,0.5395468,0.004405975,0.0030045547,0.000048616163,0.000109589375,0.26143166,0.0096651055,0.07020458,0.109323055,0.001110084],"about_ca_topic_score_codex":0.00007667189,"about_ca_topic_score_gemma":0.000030153362,"teacher_disagreement_score":0.6409255,"about_ca_system_score_codex":0.000013267333,"about_ca_system_score_gemma":0.00004476861,"threshold_uncertainty_score":0.25468242},"labels":[],"label_agreement":null},{"id":"W4388785124","doi":"10.1016/j.irfa.2023.103038","title":"A Bayesian approach for the determinants of bitcoin returns","year":2023,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Econometrics; Bayesian probability; Economics; Cryptocurrency; Leverage (statistics); Estimator; Frequentist inference; Lasso (programming language); Volatility (finance); Stochastic volatility; Bayesian inference; Computer science; Statistics; Machine learning; Mathematics; Artificial intelligence","score_opus":0.03211722607938833,"score_gpt":0.28672886899769023,"score_spread":0.2546116429183019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388785124","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18227866,0.07227373,0.6813805,0.0056133997,0.002163533,0.0036464708,0.010930243,0.000089565125,0.04162391],"genre_scores_gemma":[0.98147744,0.015664047,0.0015749432,0.00018638177,0.00006841579,0.00008893293,0.0001471017,0.000008516266,0.00078422664],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986812,0.000013410966,0.0008877642,0.0002224843,0.00007887639,0.00011628865],"domain_scores_gemma":[0.99865454,0.00013561493,0.00067102996,0.00029058522,0.00022598499,0.000022262051],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001527335,0.00008708433,0.000573207,0.00028878634,0.000039408395,0.000009245355,0.0004171001,0.000042535004,0.00019198925],"category_scores_gemma":[0.001717577,0.00007057274,0.00053783,0.0016453037,0.000046897756,0.000053403044,0.000060656144,0.00005254589,0.000004724079],"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":[0.00004238835,0.00014120797,0.8851814,0.00266091,0.00092728296,0.0000010722758,0.00010137196,0.00015055964,0.0000032666803,0.07738022,0.0033176816,0.030092617],"study_design_scores_gemma":[0.00013246958,0.000019584606,0.1890728,0.00017984836,0.00019176315,3.5676524e-7,0.0000067878923,0.78694934,0.000007698288,0.006691394,0.016647017,0.00010092615],"about_ca_topic_score_codex":0.00018618636,"about_ca_topic_score_gemma":0.00010513932,"teacher_disagreement_score":0.79919875,"about_ca_system_score_codex":0.00002614846,"about_ca_system_score_gemma":0.000030617703,"threshold_uncertainty_score":0.2877873},"labels":[],"label_agreement":null},{"id":"W4389903644","doi":"10.1016/j.irfa.2023.103051","title":"Green finance policy, ESG rating, and cost of debt——Evidence from China","year":2023,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":153,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Social Science Fund of China; National Office for Philosophy and Social Sciences","keywords":"Promulgation; China; Corporate governance; Debt; Finance; Business; Quarter (Canadian coin); Economics; Financial system","score_opus":0.024145142036881694,"score_gpt":0.26354259623432247,"score_spread":0.23939745419744077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389903644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92971283,0.050318502,0.005026812,0.005556215,0.00032397002,0.00036042265,0.0013140383,0.000028120032,0.007359057],"genre_scores_gemma":[0.87050754,0.12748529,0.0005439336,0.000299547,0.00012547063,0.000038552083,0.00010853316,0.000012804129,0.0008783346],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99816,0.000023342729,0.0011255874,0.00043274977,0.00009122489,0.00016711872],"domain_scores_gemma":[0.99827427,0.0001108242,0.0011526104,0.00035144354,0.000065060245,0.00004581016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005754859,0.00015498507,0.00081946095,0.00054176955,0.000037549336,0.000013940355,0.00045079482,0.00006345332,0.00030745336],"category_scores_gemma":[0.001748145,0.00017621787,0.00028108744,0.0013872237,0.000106508516,0.00022670437,0.00018098924,0.00008550498,0.00010204541],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019671537,0.000084222076,0.7228642,0.00060734584,0.00078920793,0.000008882927,0.00024639547,0.0011919516,0.00007176092,0.24115127,0.0017778156,0.03118726],"study_design_scores_gemma":[0.00018862695,0.000025485024,0.9644501,0.0009030422,0.00011587018,8.393854e-7,0.0000037859925,0.0058106105,0.00015634713,0.011756648,0.016392572,0.00019602731],"about_ca_topic_score_codex":0.007919302,"about_ca_topic_score_gemma":0.0003200985,"teacher_disagreement_score":0.24158593,"about_ca_system_score_codex":0.000103013685,"about_ca_system_score_gemma":0.00004778072,"threshold_uncertainty_score":0.998687},"labels":[],"label_agreement":null},{"id":"W4391061462","doi":"10.1016/j.irfa.2024.103101","title":"Female directors and CSR: Does the presence of female directors affect CSR focus?","year":2024,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"Project of High-level Teachers in Beijing Municipal Universities in the Period of 13th Five-year Plan; Capital University of Economics and Business; National Natural Science Foundation of China","keywords":"Corporate social responsibility; Affect (linguistics); Accounting; Business; Political science; Public relations; Psychology","score_opus":0.017646497867531193,"score_gpt":0.2950404502983479,"score_spread":0.2773939524308167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391061462","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9727427,0.021179335,0.00023393433,0.0012350979,0.00059333834,0.0003497729,0.000024164878,0.00004485478,0.0035968537],"genre_scores_gemma":[0.9949977,0.0037277194,0.00005210571,0.00015438207,0.0004200696,0.000026459094,0.000019259382,0.00001157897,0.0005907559],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981428,0.000049167837,0.00073954265,0.00034202356,0.0005833846,0.00014307274],"domain_scores_gemma":[0.99803346,0.0003972262,0.00065264135,0.00025433715,0.00064970093,0.000012627433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016496221,0.00016108413,0.0005297194,0.00034077532,0.00008213199,0.00011437139,0.0003310585,0.000043295033,0.00028337003],"category_scores_gemma":[0.007724505,0.00009943279,0.0004592281,0.0027406174,0.00015044457,0.0004214788,0.00023175188,0.00011742772,0.000011780908],"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":[0.00005101463,0.00010044611,0.5843224,0.0069198706,0.0011204677,0.00003556362,0.00023046797,0.000027051692,0.0007460115,0.017783146,0.0008774909,0.3877861],"study_design_scores_gemma":[0.00016829747,0.000023344837,0.8685821,0.008334155,0.0040451656,0.0000029812018,0.00015951609,0.0048381775,0.0013630961,0.0038501236,0.108122125,0.0005108786],"about_ca_topic_score_codex":0.0020321547,"about_ca_topic_score_gemma":0.001082437,"teacher_disagreement_score":0.38727522,"about_ca_system_score_codex":0.000041201594,"about_ca_system_score_gemma":0.00009815643,"threshold_uncertainty_score":0.92475116},"labels":[],"label_agreement":null},{"id":"W4391068895","doi":"10.1016/j.irfa.2024.103099","title":"The mutual funds puzzle and the elusive von Neumann-Morgenstern preference relation","year":2024,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Carleton University; Columbia University; Boston College","keywords":"Von Neumann architecture; Relation (database); Preference; Preference relation; Mathematical economics; Economics; Mathematics; Microeconomics; Computer science; Pure mathematics","score_opus":0.02283247505932272,"score_gpt":0.24015269285404647,"score_spread":0.21732021779472374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391068895","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033164088,0.8718624,0.016980559,0.021742927,0.002016595,0.00079804665,0.0005521764,0.000052031828,0.05283119],"genre_scores_gemma":[0.92633575,0.06707594,0.000042148233,0.00021236058,0.0001924744,0.00004458148,0.000051112922,0.00000832055,0.0060373372],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985197,0.00004244132,0.0008944784,0.0002971232,0.0001242021,0.00012204388],"domain_scores_gemma":[0.998857,0.000201895,0.00042145036,0.00028645695,0.00020449009,0.000028681221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011282577,0.000121720885,0.0005090204,0.00020840744,0.00018576541,0.00014218247,0.00033745385,0.000038850292,0.00045860079],"category_scores_gemma":[0.0006942444,0.0000770143,0.00045350534,0.0012674406,0.00014100896,0.00016332067,0.00011365391,0.00012000758,0.000111632515],"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":[0.000022702934,0.000011554729,0.005868068,0.0002937803,0.0013703303,0.0000018957561,0.00018602141,0.000045284934,0.0000011479631,0.9707024,0.0015915765,0.019905206],"study_design_scores_gemma":[0.00024357489,0.000027609747,0.060270734,0.00076836883,0.0008789045,0.0000050387403,0.00002991703,0.057239715,0.000002844514,0.023290873,0.8570368,0.00020561088],"about_ca_topic_score_codex":0.00071124034,"about_ca_topic_score_gemma":0.00058948953,"teacher_disagreement_score":0.94741154,"about_ca_system_score_codex":0.000051704923,"about_ca_system_score_gemma":0.000026683101,"threshold_uncertainty_score":0.5021357},"labels":[],"label_agreement":null},{"id":"W4391319428","doi":"10.1016/j.irfa.2024.103105","title":"Accrual and real earnings management by rumored takeover targets","year":2024,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Concordia University","funders":"Social Sciences and Humanities Research Council","keywords":"Accrual; Rumor; Earnings management; Earnings; Economics; Accounting; Econometrics; Business; Political science; Law","score_opus":0.0052323075898965486,"score_gpt":0.23599718044313983,"score_spread":0.2307648728532433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391319428","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2672225,0.09721476,0.27227977,0.020625032,0.004006132,0.0024119653,0.00036625826,0.00087956863,0.33499402],"genre_scores_gemma":[0.92580694,0.05647484,0.0005699054,0.0042311344,0.0009486905,0.000078052406,0.0004856432,0.000046406985,0.011358408],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99802953,0.0000122101965,0.0005583254,0.0004788764,0.00070357654,0.00021748689],"domain_scores_gemma":[0.99638146,0.000037596084,0.0031026618,0.00018658095,0.00027557227,0.000016108286],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00055472186,0.00021788717,0.0004353136,0.00045808547,0.00007487306,0.00018451911,0.00040642297,0.000041488016,0.0011332938],"category_scores_gemma":[0.0026158867,0.00020327761,0.00025615448,0.0019077637,0.00006625832,0.00069050485,0.00037017773,0.00014432275,0.00017989227],"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":[0.00003075188,0.000103010505,0.059635203,0.008826103,0.0022166593,0.000121846904,0.000051060048,0.000045135785,0.000109056156,0.12535371,0.2582464,0.5452611],"study_design_scores_gemma":[0.00012750181,0.0000056030917,0.13813388,0.0017748377,0.0011639029,6.8713814e-7,0.000009399219,0.0012339798,0.000008385812,0.00033693764,0.8569978,0.00020707709],"about_ca_topic_score_codex":0.00062432425,"about_ca_topic_score_gemma":0.000041922514,"teacher_disagreement_score":0.6585844,"about_ca_system_score_codex":0.0000628656,"about_ca_system_score_gemma":0.000017885739,"threshold_uncertainty_score":0.9997798},"labels":[],"label_agreement":null},{"id":"W4391344429","doi":"10.1016/j.irfa.2024.103110","title":"Federal judge ideology and real earnings management","year":2024,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Earnings management; Ideology; Incentive; Proxy (statistics); Litigation risk analysis; Accounting; Earnings; Business; Economics; Law and economics; Actuarial science; Political science; Law; Politics; Microeconomics; Audit","score_opus":0.006656110962306896,"score_gpt":0.24774051086559146,"score_spread":0.24108439990328456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391344429","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29183647,0.036899,0.21366072,0.022654975,0.0047018556,0.0014016809,0.000059449125,0.00060422975,0.42818162],"genre_scores_gemma":[0.9467425,0.03537002,0.00070559786,0.006046147,0.0013301927,0.00006898137,0.0001737945,0.000033554417,0.009529209],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99836457,0.000013138528,0.0005200572,0.00042925088,0.00047881695,0.000194142],"domain_scores_gemma":[0.99672383,0.000033923898,0.0027879889,0.00016789712,0.0002743755,0.000011986889],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005690889,0.00018112757,0.0004191036,0.0005653181,0.000079010315,0.00014555563,0.0003423601,0.000040704108,0.00071479654],"category_scores_gemma":[0.002071837,0.00016939142,0.00024632807,0.0017781156,0.00007334866,0.0005102548,0.00038550704,0.00013813106,0.00020819182],"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":[0.000021487635,0.000054346518,0.14215508,0.008444979,0.001608803,0.00016480385,0.00003315819,0.000041859577,0.00002087635,0.346702,0.041580297,0.4591723],"study_design_scores_gemma":[0.00010192137,0.000006813629,0.30097455,0.0016661139,0.0009754449,0.0000013143252,0.0000064225815,0.0010431418,0.0000019256022,0.0010393473,0.6940185,0.0001645431],"about_ca_topic_score_codex":0.0006571275,"about_ca_topic_score_gemma":0.00012306545,"teacher_disagreement_score":0.65490603,"about_ca_system_score_codex":0.000053420288,"about_ca_system_score_gemma":0.000018535226,"threshold_uncertainty_score":0.7826521},"labels":[],"label_agreement":null},{"id":"W4391544797","doi":"10.1016/j.irfa.2024.103106","title":"Non-standard errors in the cryptocurrency world","year":2024,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Benford’s Law and Fraud Detection","field":"Mathematics","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Narodowe Centrum Nauki","keywords":"Cryptocurrency; Computer science; Computer security","score_opus":0.027090598373070374,"score_gpt":0.3514883862123474,"score_spread":0.32439778783927703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391544797","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17862077,0.19617768,0.23396355,0.03513507,0.010429511,0.004507151,0.00097248977,0.00038683176,0.33980694],"genre_scores_gemma":[0.9867823,0.009194343,0.0016585689,0.0006716004,0.00031366004,0.000106768304,0.000045994275,0.0000131289125,0.0012136132],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986421,0.00004032084,0.0005588516,0.0001696169,0.00048807467,0.00010103151],"domain_scores_gemma":[0.9993001,0.00013994808,0.00013029808,0.00019720457,0.00021559371,0.000016852877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088436285,0.00010485166,0.00034577269,0.00042764653,0.000026825888,0.000029676048,0.00032187055,0.00003232615,0.00057090126],"category_scores_gemma":[0.00064656814,0.00006895324,0.00039236897,0.0030656604,0.000031991603,0.000109546694,0.000028712006,0.000176662,0.000026555923],"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":[0.000030108122,0.0001443735,0.003138228,0.0037666361,0.0006549246,0.000041359384,0.00042038196,0.000016371483,0.00001700469,0.75543714,0.04389472,0.19243875],"study_design_scores_gemma":[0.00028522543,0.00009763488,0.02108353,0.012064889,0.0026953365,0.000009975647,0.00003963489,0.004586266,0.00020096355,0.16116941,0.7973638,0.0004033139],"about_ca_topic_score_codex":0.000078486155,"about_ca_topic_score_gemma":0.0010115844,"teacher_disagreement_score":0.80816156,"about_ca_system_score_codex":0.000067780675,"about_ca_system_score_gemma":0.00008441314,"threshold_uncertainty_score":0.62509686},"labels":[],"label_agreement":null},{"id":"W4392470262","doi":"10.1016/j.irfa.2024.103146","title":"Does internal whistleblowing enhance firm innovation?","year":2024,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Ethics in Business and Education","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Business; Industrial organization; Accounting; Economics; Process management","score_opus":0.07669333101037733,"score_gpt":0.4547897685723743,"score_spread":0.37809643756199696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392470262","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22101463,0.10740586,0.45224467,0.12330387,0.04009243,0.00072899647,0.00041590692,0.00019594557,0.054597687],"genre_scores_gemma":[0.9755676,0.012418301,0.0013364198,0.0016246284,0.00060050894,0.00002707696,0.00006531254,0.000007727306,0.0083524585],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.996543,0.00007072045,0.0013115689,0.00042905018,0.0015322618,0.00011339746],"domain_scores_gemma":[0.99479926,0.00074172823,0.0003799486,0.00036255646,0.0036880362,0.000028482367],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003701707,0.000119159275,0.00040417607,0.0011492573,0.00006194214,0.00019995264,0.0008555167,0.000058933718,0.0033141084],"category_scores_gemma":[0.023572788,0.00006757636,0.00032532107,0.009441628,0.000080902384,0.0004549042,0.00010947671,0.00019384416,0.0001866382],"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":[0.0000151998065,0.00012415904,0.027544739,0.0013391405,0.0007033545,0.000015840884,0.00047372907,0.0000951127,0.00038237785,0.2907059,0.057015896,0.6215846],"study_design_scores_gemma":[0.000060723178,0.0000206539,0.08549526,0.009137142,0.00059816823,0.0000035649032,0.000054448024,0.0039690747,0.0010094116,0.114664786,0.7846733,0.00031345876],"about_ca_topic_score_codex":0.00012210135,"about_ca_topic_score_gemma":0.0001224094,"teacher_disagreement_score":0.7545529,"about_ca_system_score_codex":0.000085670246,"about_ca_system_score_gemma":0.0003974813,"threshold_uncertainty_score":0.997597},"labels":[],"label_agreement":null},{"id":"W4392582586","doi":"10.1016/j.irfa.2024.103174","title":"Cybersecurity data breaches and internal control","year":2024,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Information and Cyber Security","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Dismissal; Control (management); Data breach; Business; Internal control; Accounting; Mechanism (biology); Computer security; Internet privacy; Computer science; Law; Audit","score_opus":0.01420586608241174,"score_gpt":0.2894759810033377,"score_spread":0.27527011492092596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392582586","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021988323,0.069656275,0.90330565,0.008885685,0.0012360363,0.00022314713,0.00042744188,0.00011973038,0.013947168],"genre_scores_gemma":[0.9761515,0.017344994,0.0032155132,0.0027955456,0.0001398556,0.00000892898,0.00014848214,0.000003567235,0.00019157761],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988115,0.00003796264,0.00043218443,0.00026414113,0.00036501567,0.00008923151],"domain_scores_gemma":[0.9990922,0.000048015652,0.00011878518,0.00042777963,0.00026735,0.000045854475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070493977,0.000092869384,0.00026950837,0.00023153998,0.000027834296,0.00012146162,0.0011868898,0.000029473029,0.00011554157],"category_scores_gemma":[0.00033742486,0.00007671225,0.00013569808,0.0009404705,0.000042611802,0.0009210609,0.00035107497,0.000109212306,0.000029630824],"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":[0.000004389619,0.000049255425,0.0012233069,0.0010314413,0.000882079,0.00001870728,0.0004892382,0.0000038563644,0.000008467693,0.5701415,0.015481969,0.41066578],"study_design_scores_gemma":[0.0003081909,0.00003283841,0.031129265,0.0029176658,0.0009179889,0.000042767013,0.0000108622,0.46113104,0.00004972622,0.0038718213,0.4992644,0.00032344906],"about_ca_topic_score_codex":0.0001765833,"about_ca_topic_score_gemma":0.00006801925,"teacher_disagreement_score":0.9739527,"about_ca_system_score_codex":0.000024294322,"about_ca_system_score_gemma":0.00010300343,"threshold_uncertainty_score":0.31282347},"labels":[],"label_agreement":null},{"id":"W4392663493","doi":"10.1016/j.irfa.2024.103158","title":"Bursting the bitcoin bubble: Do market prices reflect fundamental bitcoin value?","year":2024,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":17,"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":"York University","keywords":"Economics; Explosive material; Cointegration; Value (mathematics); Econometrics; Marginal cost; Market price; Economic bubble; Monetary economics; Microeconomics; Computer science","score_opus":0.009241346406243118,"score_gpt":0.2943614809273126,"score_spread":0.2851201345210695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392663493","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02348619,0.26386285,0.61936545,0.061453726,0.0015412641,0.0010179204,0.00014538178,0.00055863895,0.02856859],"genre_scores_gemma":[0.9500516,0.027452245,0.019230885,0.0020531067,0.00023304705,0.00018596146,0.000031737974,0.000012490383,0.000748935],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983818,0.000065433545,0.0005230385,0.00041032763,0.00045952186,0.00015987045],"domain_scores_gemma":[0.99877554,0.00019064591,0.00021205259,0.0005208522,0.0002708393,0.000030054145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012023967,0.00013785408,0.000308929,0.0003550438,0.00012440202,0.00011779003,0.0015376646,0.00006348854,0.00021192129],"category_scores_gemma":[0.00045843856,0.00009513773,0.00032335665,0.004469379,0.00010054091,0.00017624389,0.00032096365,0.00022074778,0.000033621538],"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":[0.0000025623006,0.000070348724,0.0010047046,0.00041497237,0.00053550303,0.000013851724,0.00010577337,0.000019873964,0.00007743158,0.7426494,0.012141583,0.242964],"study_design_scores_gemma":[0.00015052388,0.00007601351,0.020943288,0.003487673,0.0010764189,0.000055235807,0.000024591349,0.17760669,0.00058523024,0.043427244,0.7520895,0.00047762186],"about_ca_topic_score_codex":0.00010895524,"about_ca_topic_score_gemma":0.000036638445,"teacher_disagreement_score":0.9265654,"about_ca_system_score_codex":0.00007948341,"about_ca_system_score_gemma":0.00014674613,"threshold_uncertainty_score":0.3879604},"labels":[],"label_agreement":null},{"id":"W4393058652","doi":"10.1016/j.irfa.2024.103218","title":"Cryptocurrency anomalies and economic constraints","year":2024,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Narodowym Centrum Nauki; Narodowe Centrum Nauki","keywords":"Cryptocurrency; Economics; Natural resource economics; Financial economics; Computer science; Computer security","score_opus":0.01871157257579551,"score_gpt":0.26059232417622324,"score_spread":0.24188075160042774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393058652","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07467175,0.62083256,0.0051853927,0.005011526,0.0029638303,0.00045781094,0.0022281834,0.00008040181,0.28856856],"genre_scores_gemma":[0.86707246,0.13102493,0.00050401094,0.0005052068,0.00017468631,0.000030125644,0.00007972031,0.0000094830475,0.0005993443],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99877274,0.000009402001,0.00073180994,0.00031988177,0.000046876536,0.00011930303],"domain_scores_gemma":[0.9995123,0.000037238442,0.00021774249,0.00013423938,0.00006028043,0.000038176688],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004084537,0.00012711096,0.0005121034,0.00040589814,0.000031940046,0.0000682606,0.00018234011,0.000045367848,0.0026352522],"category_scores_gemma":[0.00027074278,0.00012813832,0.0002542688,0.00049552915,0.00016655182,0.00026631888,0.00004694015,0.000074236894,0.00016431525],"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":[0.000002459266,0.00001511383,0.013848174,0.0006746682,0.00029867014,0.0000038054293,0.00002650566,0.0000028847903,0.0000018433665,0.96721756,0.0031186014,0.014789708],"study_design_scores_gemma":[0.00019870838,0.00008159361,0.23551877,0.0024136999,0.00044629668,0.000008102594,0.000012642022,0.0035615864,0.000026553193,0.12694924,0.6303001,0.0004827204],"about_ca_topic_score_codex":0.00018168522,"about_ca_topic_score_gemma":0.000029309213,"teacher_disagreement_score":0.8402683,"about_ca_system_score_codex":0.000057608027,"about_ca_system_score_gemma":0.00007846038,"threshold_uncertainty_score":0.9982765},"labels":[],"label_agreement":null},{"id":"W4398667970","doi":"10.1016/j.irfa.2024.103376","title":"ESG ratings, business credit acquisition, and corporate value","year":2024,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Business; Credit rating; Value (mathematics); Accounting; Business administration; Actuarial science; Mathematics; Statistics","score_opus":0.013554163166654887,"score_gpt":0.24052794459516952,"score_spread":0.22697378142851463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398667970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6089092,0.20308667,0.08962623,0.04748692,0.007972911,0.0015947487,0.00059396937,0.0005503033,0.040179044],"genre_scores_gemma":[0.97556394,0.016169978,0.0002166209,0.0048638727,0.0019397883,0.000033397642,0.0002461085,0.000016184431,0.0009500833],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987197,0.0000074101363,0.00048173705,0.0003110559,0.00036066066,0.000119454104],"domain_scores_gemma":[0.9982184,0.000027290114,0.00053431373,0.00015322574,0.0010574382,0.000009319483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033483765,0.0001548869,0.00038319468,0.0003268933,0.000057298632,0.000143857,0.00023105845,0.00004066826,0.00030728057],"category_scores_gemma":[0.00049694057,0.0001358247,0.00017112936,0.0035935922,0.00005920807,0.0008338233,0.0000906308,0.00008154699,0.00009041061],"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":[0.0000640228,0.00015114006,0.15262263,0.016098114,0.0010244412,0.00028772996,0.000022154529,0.0003847526,0.00022453749,0.54407746,0.124473915,0.16056913],"study_design_scores_gemma":[0.00016821593,0.000005934667,0.6764436,0.00493469,0.0014378198,0.0000063987727,0.000002103879,0.009815443,0.000022997134,0.005493584,0.30138263,0.00028660108],"about_ca_topic_score_codex":0.00043866888,"about_ca_topic_score_gemma":0.000049378275,"teacher_disagreement_score":0.5385839,"about_ca_system_score_codex":0.00002743374,"about_ca_system_score_gemma":0.00007432892,"threshold_uncertainty_score":0.55387706},"labels":[],"label_agreement":null},{"id":"W4400412507","doi":"10.1016/j.irfa.2024.103429","title":"Why does uncovered interest parity fail empirically?","year":2024,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Monetary Policy and Economic Impact","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":"Algoma University; Wilfrid Laurier University; Thompson Rivers University","funders":"","keywords":"Interest rate parity; Economics; Exchange rate; Interest rate; Econometrics; De facto; International Fisher effect; Empirical evidence; Real interest rate; Capital market; Fallacy; Panel data; Monetary economics; Financial economics; Fisher hypothesis; Finance","score_opus":0.06505557356916074,"score_gpt":0.29252510183671004,"score_spread":0.2274695282675493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400412507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3926705,0.36870116,0.053592812,0.08086318,0.009347766,0.0010553653,0.01177252,0.00023883473,0.08175787],"genre_scores_gemma":[0.9565456,0.034167383,0.000401335,0.0065575875,0.00037606232,0.000021467496,0.00025978516,0.0000143172065,0.0016564839],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982577,0.000018934541,0.0010755428,0.00040505038,0.00006004225,0.00018272447],"domain_scores_gemma":[0.9991891,0.000067705754,0.00032147468,0.00028710984,0.00006304602,0.00007156461],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006168006,0.00016132856,0.0007249616,0.0005025064,0.000032207692,0.00007320678,0.00041260867,0.000071422335,0.007517994],"category_scores_gemma":[0.00080476695,0.00013887355,0.00067103334,0.0009410276,0.00005312051,0.0003191525,0.00007623575,0.00014800766,0.0004931067],"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":[0.0000553028,0.0002555202,0.113626525,0.004077989,0.0058663115,0.000042817872,0.0003591224,0.0004692156,0.000013655589,0.5095218,0.339286,0.026425745],"study_design_scores_gemma":[0.00009875993,0.00002764032,0.020739572,0.0008083117,0.00023108623,0.0000022494676,0.0000031711993,0.009056174,0.000020905441,0.022643505,0.9461417,0.00022689407],"about_ca_topic_score_codex":0.0019993344,"about_ca_topic_score_gemma":0.0005355379,"teacher_disagreement_score":0.60685575,"about_ca_system_score_codex":0.00012612763,"about_ca_system_score_gemma":0.000034421293,"threshold_uncertainty_score":0.99338925},"labels":[],"label_agreement":null},{"id":"W4400722268","doi":"10.1016/j.irfa.2024.103477","title":"Cross-country risk spillovers of ESG stock indices: Dynamic patterns and the role of climate transition risks","year":2024,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":26,"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":"Fundamental Research Funds for the Central Universities; National University's Basic Research Foundation of China; National Natural Science Foundation of China","keywords":"Stock (firearms); Climate change; Climate risk; Business; Transition countries; Economics; Financial economics; Econometrics; Geography; International economics; Ecology","score_opus":0.00842938025413152,"score_gpt":0.2719665387300697,"score_spread":0.26353715847593817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400722268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92222816,0.059840534,0.008524314,0.00015229115,0.00020827998,0.00023676721,0.0055229664,0.0000065121353,0.0032801859],"genre_scores_gemma":[0.86754006,0.13221234,0.00005238076,0.000047528534,0.00001890008,0.000009997085,0.00009466582,0.0000054741513,0.000018644629],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985197,0.00003293176,0.0010058848,0.0002428227,0.00010291301,0.00009570635],"domain_scores_gemma":[0.99875265,0.000115223556,0.0007602462,0.00019729866,0.00015384312,0.000020727262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013118761,0.00010680588,0.0006231761,0.00027289288,0.000032601125,0.000026615497,0.00021594862,0.000056692224,0.00031988983],"category_scores_gemma":[0.00036492138,0.00008761315,0.00040915931,0.00068800966,0.00013988237,0.00013507005,0.00004487045,0.00012096676,0.0000021029005],"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":[0.00007916122,0.000054708154,0.89963156,0.002216089,0.0008771357,0.0000011340053,0.00020566126,0.00009912257,0.0000016907467,0.05843418,0.0000049043742,0.03839465],"study_design_scores_gemma":[0.0002932027,0.000025191717,0.6429126,0.000904348,0.00051209267,9.5894e-7,0.000013522059,0.34010246,0.0000051244137,0.012668857,0.0024543814,0.0001072119],"about_ca_topic_score_codex":0.0028773097,"about_ca_topic_score_gemma":0.00037857034,"teacher_disagreement_score":0.34000334,"about_ca_system_score_codex":0.000041516476,"about_ca_system_score_gemma":0.00002585063,"threshold_uncertainty_score":0.43496507},"labels":[],"label_agreement":null},{"id":"W4400858879","doi":"10.1016/j.irfa.2024.103479","title":"Twitter and cryptocurrency pump-and-dumps","year":2024,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"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 de Sherbrooke; Group for Research in Decision Analysis; HEC Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cryptocurrency; Promotion (chess); Event (particle physics); Event study; Business; Social media; Advertising; Monetary economics; Computer science; Economics; Computer security; World Wide Web; Geography; Political science; Physics","score_opus":0.025553287952565056,"score_gpt":0.26769653348812095,"score_spread":0.24214324553555588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400858879","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1500485,0.7229916,0.005398176,0.0101716295,0.0017346735,0.00041970744,0.00054235937,0.00005946259,0.10863388],"genre_scores_gemma":[0.7693054,0.22724248,0.0004153959,0.0013500493,0.00018392391,0.00003561157,0.000051991014,0.000010461458,0.0014046497],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99890375,0.000009104815,0.0006059625,0.0003094773,0.00006322121,0.00010847057],"domain_scores_gemma":[0.99956065,0.000032607673,0.00016873873,0.00011933748,0.000079979574,0.00003865725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003947509,0.00011789032,0.00045746038,0.0003659971,0.00003178333,0.000067667046,0.00013336491,0.00004417928,0.0007822474],"category_scores_gemma":[0.00035556144,0.0001107971,0.00018545831,0.000740507,0.00007922882,0.00022745148,0.00005899222,0.00008660664,0.000058256526],"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":[0.0000033751041,0.00002207906,0.017347666,0.0011177076,0.0002864973,0.0000048181855,0.00005796278,7.2041087e-7,0.0000037454965,0.9645927,0.003509474,0.013053263],"study_design_scores_gemma":[0.00012730442,0.00005563607,0.254994,0.0019240184,0.00031515112,0.000004559204,0.000006241362,0.0019308839,0.000017080514,0.102369644,0.6379639,0.0002915877],"about_ca_topic_score_codex":0.0001514002,"about_ca_topic_score_gemma":0.000011332081,"teacher_disagreement_score":0.862223,"about_ca_system_score_codex":0.000025002697,"about_ca_system_score_gemma":0.000029907513,"threshold_uncertainty_score":0.85650605},"labels":[],"label_agreement":null},{"id":"W4400859004","doi":"10.1016/j.irfa.2024.103498","title":"Representative investors versus best clienteles: Performance evaluation disagreement in mutual funds","year":2024,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":3,"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 en Outaouais; Cegep de Saint Jerome; Université Laval","funders":"","keywords":"Business; Economics; Mutual fund; Institutional investor; Financial economics; Finance; Corporate governance","score_opus":0.04871147815583028,"score_gpt":0.32758025624407044,"score_spread":0.2788687780882402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400859004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9698366,0.013840951,0.00043598333,0.0012708994,0.0016295776,0.00040773427,0.000042316187,0.000024068508,0.012511863],"genre_scores_gemma":[0.987362,0.010843269,0.00004090101,0.000529263,0.00049872405,0.000081013284,0.00019988768,0.000008424614,0.00043648056],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981257,0.000017247308,0.0005828463,0.00034069805,0.00079281675,0.00014069206],"domain_scores_gemma":[0.9988428,0.000042873806,0.00034267554,0.00018418446,0.0005793542,0.000008138094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083578535,0.00014442559,0.0003252286,0.0005047762,0.000033825865,0.000058305966,0.00028313758,0.000033780914,0.00061413244],"category_scores_gemma":[0.00080023473,0.00013077371,0.00021516865,0.0034665603,0.000052605123,0.0009365253,0.000085872,0.00011130458,0.00022896675],"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":[0.00026459797,0.00032055948,0.58393735,0.003491465,0.00073080434,0.000037542402,0.00015571003,0.0018938604,0.000027825889,0.03358894,0.021047464,0.3545039],"study_design_scores_gemma":[0.0008283418,0.000050227656,0.697228,0.00727508,0.0017849042,5.0401275e-7,0.000056086705,0.077605225,0.000029892886,0.00041005024,0.21437374,0.00035795127],"about_ca_topic_score_codex":0.0007920034,"about_ca_topic_score_gemma":0.0010984262,"teacher_disagreement_score":0.35414594,"about_ca_system_score_codex":0.00019514968,"about_ca_system_score_gemma":0.00012863343,"threshold_uncertainty_score":0.67243195},"labels":[],"label_agreement":null},{"id":"W4401023618","doi":"10.1016/j.irfa.2024.103476","title":"A machine learning approach in stress testing US bank holding companies","year":2024,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Financial Distress and Bankruptcy Prediction","field":"Business, Management and Accounting","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":"Université du Québec à Montréal","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Stress testing (software); Stress (linguistics); Business; Economics; Computer science; Operating system; Linguistics","score_opus":0.020539493452384816,"score_gpt":0.25614849408724294,"score_spread":0.23560900063485812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401023618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69097435,0.16074033,0.02397288,0.0016979502,0.00261359,0.0010165917,0.00030556385,0.0005595893,0.11811912],"genre_scores_gemma":[0.99560237,0.0027067072,0.000318418,0.00028193183,0.00056225515,0.000028561533,0.00039295253,0.000012086741,0.00009472868],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99858,0.000015402456,0.00056129385,0.00029921616,0.00038749893,0.00015659134],"domain_scores_gemma":[0.9992597,0.000045191013,0.00023174868,0.000101759826,0.0003542951,0.000007285837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048696983,0.00015337871,0.0004190725,0.0007412502,0.00006427496,0.00014372586,0.00026345276,0.000043908844,0.00016232781],"category_scores_gemma":[0.0010503212,0.00013618419,0.00023233253,0.003703584,0.000033120446,0.00054774404,0.00011760193,0.00021143343,0.000022714177],"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":[0.000026842665,0.00024697764,0.71308804,0.012658163,0.00041382053,0.000061341474,0.00004714766,0.014090939,0.00008388045,0.08446176,0.0007312216,0.1740899],"study_design_scores_gemma":[0.00013897268,0.000008513477,0.38566253,0.007734741,0.0006977452,0.0000015900939,0.000012840543,0.57029474,0.000006665348,0.00046472787,0.034748722,0.00022819708],"about_ca_topic_score_codex":0.0024084337,"about_ca_topic_score_gemma":0.00025759623,"teacher_disagreement_score":0.55620384,"about_ca_system_score_codex":0.000054355725,"about_ca_system_score_gemma":0.000036092144,"threshold_uncertainty_score":0.555343},"labels":[],"label_agreement":null},{"id":"W4403961852","doi":"10.1016/j.irfa.2024.103722","title":"Systemic risk effects of climate transition on financial stability","year":2024,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Systemic risk; Financial stability; Transition (genetics); Climate change; Economics; Stability (learning theory); Financial system; Business; Natural resource economics; Financial economics; Monetary economics; Financial crisis; Computer science; Chemistry; Macroeconomics; Ecology; Biology","score_opus":0.008965846287103106,"score_gpt":0.23948712956017043,"score_spread":0.2305212832730673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403961852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8746797,0.07491671,0.033756882,0.00045939113,0.0017794231,0.0007065126,0.0045814253,0.000041662024,0.0090783015],"genre_scores_gemma":[0.937907,0.061624084,0.00012078163,0.000112153844,0.000076705575,0.000028198485,0.00010004672,0.000007586951,0.000023434033],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99811673,0.000059342885,0.0011722635,0.0003886172,0.00012617344,0.00013686783],"domain_scores_gemma":[0.998757,0.00018556108,0.00052856654,0.000289728,0.000202728,0.00003641476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015093811,0.00014342752,0.0007975492,0.00039746054,0.000032493528,0.000017163951,0.00022559598,0.00007855134,0.0004274464],"category_scores_gemma":[0.0018096542,0.00014245375,0.00069899316,0.0012225437,0.00004487786,0.00010893108,0.000029597428,0.00015274012,0.000027980548],"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":[0.0002251958,0.0007797147,0.24306425,0.059019573,0.0020707985,0.000022215607,0.00047131814,0.00020927742,0.00009789088,0.5976409,0.0006964032,0.09570251],"study_design_scores_gemma":[0.0007231759,0.00037717706,0.6588844,0.018470585,0.002053345,0.000004015708,0.0000076117008,0.26144853,0.00036654292,0.03943364,0.017440915,0.00079007325],"about_ca_topic_score_codex":0.0002634817,"about_ca_topic_score_gemma":0.000053165742,"teacher_disagreement_score":0.5582072,"about_ca_system_score_codex":0.00012086979,"about_ca_system_score_gemma":0.00005608298,"threshold_uncertainty_score":0.58090955},"labels":[],"label_agreement":null},{"id":"W4404094997","doi":"10.1016/j.irfa.2024.103734","title":"Polytope Fraud Theory","year":2024,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"H2020 Marie Skłodowska-Curie Actions; Horizon 2020","keywords":"Polytope; Business; Computer science; Law and economics; Economics; Mathematics; Combinatorics","score_opus":0.006823016814583608,"score_gpt":0.24709306819313143,"score_spread":0.24027005137854782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404094997","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010526883,0.072027154,0.70899606,0.007322728,0.0024295982,0.00045792764,0.00005760255,0.00028367215,0.19789836],"genre_scores_gemma":[0.9659493,0.01212065,0.00027479706,0.010281732,0.0021786625,0.000039990922,0.000156193,0.00003013638,0.008968528],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984649,0.000013287782,0.0004842195,0.00031412495,0.0005697331,0.00015373011],"domain_scores_gemma":[0.9960791,0.000053012398,0.0032448422,0.00021020048,0.000404675,0.000008172732],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00081899797,0.00015217668,0.00036021203,0.00051045784,0.000048899514,0.00013147225,0.0005128483,0.000033289718,0.0039163856],"category_scores_gemma":[0.011008804,0.00013312092,0.00041008327,0.0028538976,0.000048106594,0.00059173,0.00021831857,0.00013645482,0.00081056234],"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":[0.0000066388125,0.000027061686,0.004583512,0.0020379825,0.00052955525,0.000023410841,0.000008770861,0.000032589833,0.000016570857,0.5408087,0.022346215,0.429579],"study_design_scores_gemma":[0.000052247113,0.000002961873,0.027878258,0.002688941,0.0011706154,4.9781204e-7,0.00000414885,0.0012322597,0.000009904476,0.0066429675,0.9601585,0.00015865284],"about_ca_topic_score_codex":0.00022486728,"about_ca_topic_score_gemma":0.00004068215,"teacher_disagreement_score":0.9554224,"about_ca_system_score_codex":0.00004701579,"about_ca_system_score_gemma":0.00003995031,"threshold_uncertainty_score":0.9999674},"labels":[],"label_agreement":null},{"id":"W4404095222","doi":"10.1016/j.irfa.2024.103758","title":"Differentiating between successful VC exit strategies: The influences of time-since-first-funding-received by the venture and strength of US VCs in cross-border syndicates","year":2024,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Private Equity and Venture Capital","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"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":"Venture capital; Business; Finance; Economics","score_opus":0.010617037391398586,"score_gpt":0.31828326097229226,"score_spread":0.3076662235808937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404095222","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9714937,0.025909744,0.00012998034,0.0015087056,0.00011614733,0.00015349763,0.000086869855,0.000009294269,0.0005920565],"genre_scores_gemma":[0.992901,0.006608735,0.0000100447205,0.00013091386,0.00017525104,0.00001134197,0.000115901064,0.0000059941676,0.00004076922],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986078,0.000023685254,0.0006409348,0.00020070387,0.00040301148,0.0001238326],"domain_scores_gemma":[0.9988155,0.00023467964,0.0005258944,0.00015476655,0.00026210642,0.000007051528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005889314,0.00013995923,0.00042826854,0.0003003601,0.000073318544,0.00016178247,0.00052089506,0.000052516112,0.00028258335],"category_scores_gemma":[0.0006825003,0.00008303113,0.00019498414,0.0017844671,0.00021514879,0.0005434779,0.00019925815,0.00015451381,0.0000045246243],"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":[0.00003145983,0.00014477927,0.93918926,0.0069721937,0.0017453029,0.0000045460015,0.00026110112,0.0003152101,0.0003073905,0.022415213,0.0012764607,0.027337065],"study_design_scores_gemma":[0.0002273556,0.000020240223,0.95917696,0.0059126266,0.0018208527,6.3894714e-7,0.00011240903,0.003751699,0.00016288408,0.0038826794,0.024708668,0.00022299509],"about_ca_topic_score_codex":0.0011828032,"about_ca_topic_score_gemma":0.00024438108,"teacher_disagreement_score":0.027114071,"about_ca_system_score_codex":0.000016283526,"about_ca_system_score_gemma":0.00003834437,"threshold_uncertainty_score":0.33859116},"labels":[],"label_agreement":null},{"id":"W4404625931","doi":"10.1016/j.irfa.2024.103810","title":"Market impact of the bitcoin ETF introduction on bitcoin futures","year":2024,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Ministry of Science and Technology, Taiwan","keywords":"Futures contract; Cryptocurrency; Economics; Futures market; Financial economics; Monetary economics; Commerce; Business; Computer science; Computer security","score_opus":0.010696650732234404,"score_gpt":0.26943133560233845,"score_spread":0.25873468487010404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404625931","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7362704,0.12439733,0.008583104,0.02181754,0.0074925204,0.0011350778,0.0054610823,0.00006535011,0.094777554],"genre_scores_gemma":[0.98589784,0.01185437,0.000085620886,0.00018534018,0.00038934778,0.00001184507,0.000054861477,0.000008680676,0.0015120956],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99860716,0.000038227674,0.00082732324,0.00030399184,0.00012103253,0.00010224453],"domain_scores_gemma":[0.99894756,0.000063104824,0.0004291877,0.00036003653,0.00017484977,0.000025238085],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010973291,0.00012487017,0.0005135453,0.0004090432,0.000033232474,0.000023915158,0.000343635,0.000053841308,0.003686312],"category_scores_gemma":[0.0012513371,0.0000902545,0.0010092945,0.0018196742,0.00004897344,0.000092584785,0.000058821654,0.00014304642,0.000017814293],"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":[0.000121678255,0.0003526195,0.34563276,0.002766474,0.003731606,0.0000040355976,0.00011604777,0.00038084164,0.000039241073,0.44732165,0.11854378,0.080989234],"study_design_scores_gemma":[0.0000942172,0.00005407185,0.79797083,0.00084909046,0.00025465307,0.000001731642,0.0000021812934,0.08024344,0.000020162317,0.012977981,0.10736045,0.00017121389],"about_ca_topic_score_codex":0.0005606845,"about_ca_topic_score_gemma":0.000110289395,"teacher_disagreement_score":0.45233804,"about_ca_system_score_codex":0.00014853495,"about_ca_system_score_gemma":0.00006990052,"threshold_uncertainty_score":0.99722445},"labels":[],"label_agreement":null},{"id":"W4404851673","doi":"10.1016/j.irfa.2024.103824","title":"EPU spillovers and exchange rate volatility","year":2024,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Exchange rate; Volatility (finance); Economics; Monetary economics; International economics; Econometrics","score_opus":0.016694875755711495,"score_gpt":0.25922181738761096,"score_spread":0.24252694163189947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404851673","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3226558,0.5280115,0.038405247,0.006879727,0.00238227,0.00064731675,0.0033269161,0.00007844877,0.09761281],"genre_scores_gemma":[0.92539734,0.072074905,0.00030215195,0.0004948818,0.00009206285,0.00001444703,0.00009446143,0.000007644729,0.0015221243],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99883026,0.000019950656,0.00064715405,0.0003389893,0.000060373797,0.00010326594],"domain_scores_gemma":[0.9993778,0.000060329286,0.00020131563,0.00019042644,0.00012632197,0.000043790493],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012986981,0.00010651351,0.00048074336,0.00030135413,0.000024966614,0.00003838653,0.00016137824,0.00004535802,0.0022050894],"category_scores_gemma":[0.00085007586,0.00010724345,0.0002901498,0.001010928,0.00004801728,0.0001552345,0.000066419256,0.0000891333,0.00002671331],"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":[0.000027553984,0.000100264835,0.5003757,0.0062667825,0.001523366,0.000015498556,0.00012649971,0.0000037923016,0.0000070837254,0.4039636,0.005566049,0.082023814],"study_design_scores_gemma":[0.00009903993,0.00002147695,0.37668198,0.0007576415,0.00023377202,0.0000010962773,0.0000016763133,0.20792288,0.0000028246416,0.023405967,0.390672,0.00019965418],"about_ca_topic_score_codex":0.00032053402,"about_ca_topic_score_gemma":0.00008864925,"teacher_disagreement_score":0.60274154,"about_ca_system_score_codex":0.00006163634,"about_ca_system_score_gemma":0.000027484135,"threshold_uncertainty_score":0.99870706},"labels":[],"label_agreement":null},{"id":"W4406212848","doi":"10.1016/j.irfa.2025.103919","title":"Does the world need more traditional energy? A comparative analysis of ESG activities, free cash flow, and capital market implications","year":2025,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia; New York Institute of Technology","funders":"","keywords":"Free cash flow; Business; Cash flow; Capital (architecture); Capital flows; Economics; Monetary economics; International economics; Financial economics; Finance; Market economy; Geography","score_opus":0.01902307952134058,"score_gpt":0.2643839269910991,"score_spread":0.2453608474697585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406212848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5015469,0.059160255,0.10335006,0.043999653,0.001428418,0.0013924766,0.048084065,0.000052039824,0.24098614],"genre_scores_gemma":[0.99089706,0.0053419736,0.000397661,0.00055817445,0.000034493027,0.00006587479,0.00036263966,0.0000032786252,0.0023388176],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9985008,0.00004505588,0.00092942774,0.000315792,0.00009947551,0.000109445384],"domain_scores_gemma":[0.99828696,0.00034231975,0.0006479923,0.00042482183,0.00026414354,0.000033788983],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00052307954,0.00014258028,0.00091586565,0.001018902,0.00008307984,0.000027314956,0.00044565357,0.000042502164,0.0009553409],"category_scores_gemma":[0.00041005563,0.000103705905,0.0005868125,0.0036348335,0.00017401822,0.000121750294,0.000106890126,0.000095566706,3.2957712e-7],"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":[0.000033391814,0.00017234338,0.3780119,0.0002108346,0.007308138,5.8302254e-7,0.0001287995,0.00009881619,0.0000018340965,0.60494876,0.0054585612,0.003626003],"study_design_scores_gemma":[0.00015556303,0.0000082959195,0.8399186,0.0001517514,0.0018699159,3.3361044e-7,0.000029441057,0.11486751,0.000004188589,0.027871888,0.014991148,0.00013133034],"about_ca_topic_score_codex":0.00096693914,"about_ca_topic_score_gemma":0.0050585745,"teacher_disagreement_score":0.5770769,"about_ca_system_score_codex":0.000085027415,"about_ca_system_score_gemma":0.00006832814,"threshold_uncertainty_score":0.9999579},"labels":[],"label_agreement":null},{"id":"W4407837267","doi":"10.1016/j.irfa.2025.104022","title":"Fear of fairness in courts: The impact of liberal judge ideology on corporate carbon emissions","year":2025,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Regulation and Compliance Studies","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada; Memorial University of Newfoundland; St Mary's University","keywords":"Ideology; Greenhouse gas; Economics; Law and economics; Political science; Business; Public economics; Law; Politics","score_opus":0.021615871544737125,"score_gpt":0.31081034620547204,"score_spread":0.2891944746607349,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407837267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95363015,0.0045255627,0.00030792353,0.0051720985,0.0003354516,0.0002925577,0.0000195241,0.000008839833,0.035707872],"genre_scores_gemma":[0.997806,0.0012553622,0.0000130708,0.0004718129,0.00006472618,0.0000113541455,0.000019804094,0.0000023418706,0.0003555195],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990971,0.000018612067,0.00050669524,0.000115888746,0.00019205535,0.00006963238],"domain_scores_gemma":[0.9984943,0.000048653863,0.0006715417,0.0001512908,0.00063102826,0.0000031826603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029017203,0.00008648144,0.00044340256,0.00038573347,0.0000238563,0.000006503128,0.00025266933,0.000024506284,0.000102598344],"category_scores_gemma":[0.0005761634,0.000055341596,0.00028512854,0.0017654505,0.00007852269,0.00007150366,0.00008247862,0.000057827798,0.0000021092096],"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":[0.0001040101,0.00021470974,0.86484724,0.00089617324,0.00079300714,0.0000021858068,0.000028443019,0.0033982955,0.000101347694,0.11071101,0.0071283993,0.011775161],"study_design_scores_gemma":[0.00015937019,0.000008737677,0.9848317,0.0014158341,0.00024264847,6.780347e-8,0.000008404716,0.0045766486,0.000021308915,0.0071343007,0.0015493629,0.000051615218],"about_ca_topic_score_codex":0.0010863651,"about_ca_topic_score_gemma":0.00016151404,"teacher_disagreement_score":0.11998444,"about_ca_system_score_codex":0.000029133413,"about_ca_system_score_gemma":0.00006265707,"threshold_uncertainty_score":0.22567648},"labels":[],"label_agreement":null},{"id":"W4407867113","doi":"10.1016/j.irfa.2025.104045","title":"Corporate social responsibility signalling under external transparency demands","year":2025,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":3,"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; Canadian Academic Accounting Association","keywords":"Transparency (behavior); Signalling; Business; Corporate social responsibility; Accounting; Industrial organization; Economics; Computer science; Public relations; Computer security; Microeconomics; Political science","score_opus":0.03673763951894598,"score_gpt":0.31068833959961417,"score_spread":0.2739507000806682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407867113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8609324,0.008516055,0.098567836,0.006464229,0.0011423377,0.0007620023,0.000045371984,0.00013632867,0.02343345],"genre_scores_gemma":[0.9947268,0.0005548901,0.00032309024,0.0029789398,0.00046321974,0.000026743395,0.00008075531,0.000010527378,0.00083508296],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99708205,0.00006383302,0.001465642,0.000470209,0.00069361634,0.00022461744],"domain_scores_gemma":[0.9958218,0.000114983246,0.0017104101,0.00024885667,0.0020899216,0.000014053581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023776076,0.00021820328,0.00076835474,0.00072392094,0.00019541965,0.00009483307,0.00050828734,0.00009713055,0.0005928432],"category_scores_gemma":[0.0037340322,0.00021367065,0.00072694645,0.005004663,0.00012599687,0.00046246237,0.0001472202,0.00019421127,0.000024639774],"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":[0.00069886557,0.00059237325,0.4844895,0.0065299836,0.0018805834,0.00006272959,0.00007396431,0.0005634867,0.0037067195,0.37311822,0.0022911355,0.12599243],"study_design_scores_gemma":[0.00048389463,0.00001032639,0.87404054,0.0029779163,0.0033477386,7.5097967e-7,0.000038181788,0.0029417104,0.00022478688,0.10458804,0.010906877,0.00043922427],"about_ca_topic_score_codex":0.00041117088,"about_ca_topic_score_gemma":0.00046662247,"teacher_disagreement_score":0.38955107,"about_ca_system_score_codex":0.00014025051,"about_ca_system_score_gemma":0.0003963337,"threshold_uncertainty_score":0.87132365},"labels":[],"label_agreement":null},{"id":"W4408295481","doi":"10.1016/j.irfa.2025.104078","title":"Political sentiment and corporate payouts","year":2025,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Corporate Finance and Governance","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":"Memorial University of Newfoundland","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada; Memorial University of Newfoundland","keywords":"Politics; Economics; Business; Financial economics; Monetary economics; Natural resource economics; Political economy; Political science","score_opus":0.014506390824614194,"score_gpt":0.258178285569942,"score_spread":0.2436718947453278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408295481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6063317,0.04426642,0.032802943,0.072300516,0.0032026586,0.0013489567,0.00029661533,0.00015811996,0.23929206],"genre_scores_gemma":[0.98441654,0.0025070857,0.00011302677,0.011311371,0.0002135558,0.000014942912,0.000060136925,0.0000040150812,0.0013593168],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99906,0.000005499261,0.00037640063,0.00020021292,0.0002324846,0.00012541316],"domain_scores_gemma":[0.99887574,0.000015895586,0.00042557713,0.00013833542,0.00053649046,0.000007937261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022395788,0.00010241477,0.00033303947,0.00025364239,0.00003676319,0.00003591961,0.00018454538,0.000027636383,0.00014763477],"category_scores_gemma":[0.00040876516,0.00009025004,0.0001522636,0.0016539588,0.00005135062,0.0002415929,0.000103495564,0.00005423905,0.00003292775],"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":[0.000013360495,0.00005270405,0.25477192,0.0009371717,0.00019257268,0.0000068477134,9.059946e-7,0.000004427455,0.00001571527,0.7250116,0.008490981,0.010501823],"study_design_scores_gemma":[0.00021928498,0.0000035378096,0.8039025,0.0017436612,0.0009785515,3.7766486e-7,0.0000024325163,0.0010944963,0.000028344068,0.01197487,0.179923,0.00012893186],"about_ca_topic_score_codex":0.00032224046,"about_ca_topic_score_gemma":0.00006962536,"teacher_disagreement_score":0.7130367,"about_ca_system_score_codex":0.000027624445,"about_ca_system_score_gemma":0.000051674037,"threshold_uncertainty_score":0.36802897},"labels":[],"label_agreement":null},{"id":"W4408310145","doi":"10.1016/j.irfa.2025.104103","title":"Foreign exchange markets, climate risks and contextual news: An intraday analysis","year":2025,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Foreign exchange; Financial economics; Business; Economics; Monetary economics","score_opus":0.02844511291488366,"score_gpt":0.29196320071801923,"score_spread":0.26351808780313557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408310145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47112483,0.18207607,0.13190612,0.0036453686,0.0009293587,0.0011699139,0.0062146396,0.000076254924,0.20285743],"genre_scores_gemma":[0.90473217,0.09255631,0.00072273193,0.001047409,0.000051773648,0.000033169956,0.00036641757,0.0000068830086,0.00048313345],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99795437,0.00006094848,0.0011721354,0.0005154459,0.000097027434,0.00020005886],"domain_scores_gemma":[0.99848634,0.00009026842,0.0006454688,0.0004145035,0.0002903473,0.00007307699],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016346306,0.00018124648,0.0011096076,0.0010674837,0.00007368379,0.00005141037,0.0003763624,0.000089694746,0.0014869849],"category_scores_gemma":[0.0009767907,0.00018967394,0.00055184664,0.0028884637,0.0000774274,0.00020809087,0.00013092607,0.00012015412,0.0000059288977],"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":[0.000041648622,0.00010059546,0.75498027,0.0005871882,0.0024743162,0.000001961976,0.000025502433,0.0000075544135,4.6563204e-7,0.2009515,0.00044032332,0.040388696],"study_design_scores_gemma":[0.00026670124,0.000027231692,0.852341,0.00026124273,0.0018936485,3.658594e-7,0.00001439121,0.09746778,0.0000014322861,0.011526846,0.03597769,0.00022169547],"about_ca_topic_score_codex":0.0013831295,"about_ca_topic_score_gemma":0.0013796771,"teacher_disagreement_score":0.43360734,"about_ca_system_score_codex":0.00007936327,"about_ca_system_score_gemma":0.000035548215,"threshold_uncertainty_score":0.99942577},"labels":[],"label_agreement":null},{"id":"W4408565005","doi":"10.1016/j.irfa.2025.104125","title":"International capital flows, financial development, and economic growth fluctuations","year":2025,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Philosophy and Social Science Foundation of Hunan Province; Major Program of National Fund of Philosophy and Social Science of China; National Office for Philosophy and Social Sciences; National Natural Science Foundation of China","keywords":"Capital flows; Economics; Finance; Capital (architecture); Business; Market economy; Geography","score_opus":0.011586541308228377,"score_gpt":0.25482256064848297,"score_spread":0.2432360193402546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408565005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63544303,0.07529516,0.020414278,0.013543567,0.006629213,0.00081336615,0.0031538764,0.000085011554,0.24462247],"genre_scores_gemma":[0.95798635,0.034027074,0.0028932565,0.0025204665,0.00031683527,0.00007256794,0.00036750332,0.000012407903,0.0018035446],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980904,0.000014010057,0.001207055,0.00040130658,0.00009518666,0.00019208064],"domain_scores_gemma":[0.9988964,0.00004003152,0.0004912294,0.00019726277,0.00032035023,0.000054690023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047009773,0.00019419784,0.00069800304,0.00077033567,0.0001081063,0.000055141627,0.00050220144,0.00009343417,0.0006918207],"category_scores_gemma":[0.0013778085,0.00021968565,0.00031137775,0.0008832917,0.00007167662,0.00024027427,0.00016447995,0.00011196226,0.00013929575],"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":[0.000011102599,0.00006194328,0.048396125,0.00021357542,0.00047983052,0.0000015623768,0.00014172972,0.0000236304,0.0000045804513,0.9332584,0.00866861,0.008738878],"study_design_scores_gemma":[0.00028536463,0.000014023592,0.3267642,0.00041212796,0.00016612775,0.0000013722923,0.000010507808,0.0005511715,0.00008732898,0.015905295,0.6555396,0.0002629513],"about_ca_topic_score_codex":0.0008868274,"about_ca_topic_score_gemma":0.00047159192,"teacher_disagreement_score":0.91735315,"about_ca_system_score_codex":0.0002037348,"about_ca_system_score_gemma":0.0002133216,"threshold_uncertainty_score":0.8958521},"labels":[],"label_agreement":null},{"id":"W4408665720","doi":"10.1016/j.irfa.2025.104133","title":"Earning quality and climate risk: The case of European firms","year":2025,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Quality (philosophy); Business; Climate risk; Climate change; Economics; Natural resource economics; Environmental science; Geology; Oceanography","score_opus":0.011943296132228108,"score_gpt":0.284341840115596,"score_spread":0.2723985439833679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408665720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79337674,0.014440135,0.09173431,0.005187499,0.00048671287,0.0005146643,0.00008541997,0.000057574143,0.09411692],"genre_scores_gemma":[0.98890454,0.008830822,0.0001313387,0.0016601661,0.00015697387,0.0000064042183,0.000021469017,0.0000061282003,0.00028217377],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99872524,0.00006969195,0.00065123837,0.00021434373,0.00022744537,0.000112071684],"domain_scores_gemma":[0.9898975,0.00009995628,0.009284835,0.00022153917,0.0004913809,0.0000048162665],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002190291,0.000110821224,0.0003573169,0.00022019644,0.00013230676,0.00004885094,0.00033644444,0.000015930771,0.00016036793],"category_scores_gemma":[0.021416927,0.0000832701,0.00021190253,0.0015251536,0.0000829483,0.0002161168,0.00040929113,0.00012748023,0.000018181152],"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":[0.000016423613,0.000045364955,0.35713387,0.003120635,0.0005661135,0.000041467334,0.000029862631,0.0001729855,0.000011674042,0.11315779,0.0019017927,0.52380204],"study_design_scores_gemma":[0.00015993194,0.000003213984,0.83383304,0.0016072823,0.0013700837,0.0000014088729,0.000031107335,0.001510154,0.000005146644,0.00048099685,0.16088796,0.00010964432],"about_ca_topic_score_codex":0.001922421,"about_ca_topic_score_gemma":0.00043876073,"teacher_disagreement_score":0.52369237,"about_ca_system_score_codex":0.000016549717,"about_ca_system_score_gemma":0.000013567216,"threshold_uncertainty_score":0.9868261},"labels":[],"label_agreement":null},{"id":"W4408880863","doi":"10.1016/j.irfa.2025.104160","title":"Disrupting political ties, enhancing transparency: China's anti-corruption campaign and corporate R&amp;D disclosure","year":2025,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Corruption and Economic Development","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute on Governance","funders":"Humanities and Social Science Fund of Ministry of Education of China; National Natural Science Foundation of China","keywords":"Transparency (behavior); Language change; Politics; China; Business; Political corruption; Financial system; Monetary economics; Political science; Economics; Law","score_opus":0.025022743954913728,"score_gpt":0.33129561827902576,"score_spread":0.30627287432411204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408880863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8193135,0.0118271485,0.05992485,0.019052934,0.002132176,0.00071387534,0.0001978799,0.00009105215,0.08674655],"genre_scores_gemma":[0.9848602,0.0112259565,0.000529283,0.0006124578,0.0000995621,0.000017335808,0.00008245012,0.0000034986606,0.0025692733],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9985653,0.0000981023,0.000612657,0.00024598787,0.000271893,0.00020602197],"domain_scores_gemma":[0.9991872,0.00005859174,0.0002953514,0.000110106244,0.0002644247,0.000084333435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010281489,0.00011145831,0.0004177462,0.000258869,0.00018778935,0.00004393275,0.00020235746,0.00006052241,0.00047282007],"category_scores_gemma":[0.0010420522,0.00010728875,0.0001827345,0.0010017283,0.00012939623,0.0001484151,0.000042663218,0.00009620984,0.0000120470595],"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":[0.000017189335,0.0001042158,0.25332725,0.0008129375,0.00043143856,0.0000030622452,0.0016013813,0.000020062613,0.00007962426,0.63456464,0.00036830694,0.1086699],"study_design_scores_gemma":[0.00026757206,0.000013476249,0.8708325,0.0033438997,0.0009024835,0.000001087713,0.0005425069,0.00027710912,0.000035280988,0.004826025,0.11861992,0.0003381516],"about_ca_topic_score_codex":0.0010488295,"about_ca_topic_score_gemma":0.0037045998,"teacher_disagreement_score":0.6297386,"about_ca_system_score_codex":0.00019543686,"about_ca_system_score_gemma":0.0004080539,"threshold_uncertainty_score":0.51770484},"labels":[],"label_agreement":null},{"id":"W4408933641","doi":"10.1016/j.irfa.2025.104187","title":"Geopolitical risk and energy markets in China","year":2025,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Global Energy Security and Policy","field":"Energy","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute on Governance","funders":"National Social Science Fund of China; National Office for Philosophy and Social Sciences; Zhejiang Office of Philosophy and Social Science","keywords":"Geopolitics; China; Energy (signal processing); Economics; Business; Natural resource economics; Financial economics; Geography; Political science; Physics; Politics","score_opus":0.0033421543042011625,"score_gpt":0.26448138185908737,"score_spread":0.2611392275548862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408933641","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.123657204,0.056289695,0.0009782207,0.004924088,0.0005469708,0.00008092908,0.00020706965,0.00003299511,0.81328285],"genre_scores_gemma":[0.92927575,0.06650899,0.000118246244,0.0020927473,0.00007000151,0.0000143883,0.000063386724,0.000003349859,0.0018531171],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989071,0.00010930273,0.00045319984,0.00019706726,0.0001880344,0.00014530557],"domain_scores_gemma":[0.9994605,0.00007038076,0.0001169537,0.00015669379,0.00015231287,0.000043122876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027454644,0.00010896635,0.00041201003,0.00040507212,0.000026314357,0.00000983449,0.00021504781,0.00006719251,0.00034914113],"category_scores_gemma":[0.0015021294,0.000100626865,0.0001995291,0.0015295945,0.00006684486,0.000059990918,0.0000856429,0.00009382062,0.0000040733635],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014689808,0.000047443456,0.0046986598,0.00014889428,0.00018750977,0.0000042318966,0.0000094412535,0.000074842435,0.0000012212648,0.9231922,0.0005798823,0.071040966],"study_design_scores_gemma":[0.00017498198,0.000007752831,0.31398878,0.0008126285,0.00037642356,0.0000010076043,0.0000015463188,0.0009174741,0.000036541165,0.027811287,0.6557801,0.00009151593],"about_ca_topic_score_codex":0.031009374,"about_ca_topic_score_gemma":0.009360604,"teacher_disagreement_score":0.8953809,"about_ca_system_score_codex":0.000052244417,"about_ca_system_score_gemma":0.00008088818,"threshold_uncertainty_score":0.97544324},"labels":[],"label_agreement":null},{"id":"W4408985648","doi":"10.1016/j.irfa.2025.104182","title":"Navigating digital frontiers: The impact of China's cybersecurity law on corporate digital innovation","year":2025,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Algoma University","funders":"National Natural Science Foundation of China","keywords":"China; Computer security; Business; Economics; Law and economics; Political science; Law; Computer science","score_opus":0.009082179223156486,"score_gpt":0.2931773276574353,"score_spread":0.28409514843427885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408985648","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4517688,0.004201939,0.5248729,0.007735415,0.00029499372,0.0005537815,0.00037053574,0.00008801119,0.010113643],"genre_scores_gemma":[0.9984044,0.0004013695,0.00078384875,0.00026459666,0.000016365797,0.000020408674,0.00007958454,0.0000020492255,0.000027390692],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987996,0.000021192527,0.00059036876,0.00023151937,0.00026162772,0.00009567431],"domain_scores_gemma":[0.9979876,0.000051232124,0.0007203609,0.00046616537,0.00076158746,0.000013017919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000335366,0.000114686256,0.000342776,0.00017305271,0.000077163924,0.0000679894,0.0010192749,0.00005718299,0.000007915339],"category_scores_gemma":[0.0006290027,0.00007939632,0.00030479147,0.004955089,0.00015706246,0.00029955825,0.0001868501,0.00021019483,0.0000029663574],"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":[0.000005336293,0.00013422799,0.0076979413,0.000055225,0.00037737144,7.419799e-7,0.000044360015,0.00007928384,0.000008063125,0.8404592,0.0010304062,0.15010783],"study_design_scores_gemma":[0.0007389365,0.0003258735,0.23401886,0.0050101555,0.0006030666,0.0000069224448,0.00003734848,0.09236709,0.0016742516,0.6525566,0.0120037645,0.0006571405],"about_ca_topic_score_codex":0.00015720779,"about_ca_topic_score_gemma":0.000007714088,"teacher_disagreement_score":0.5466356,"about_ca_system_score_codex":0.00006533366,"about_ca_system_score_gemma":0.00011287349,"threshold_uncertainty_score":0.3237688},"labels":[],"label_agreement":null},{"id":"W4409034766","doi":"10.1016/j.irfa.2025.104203","title":"Economic policy uncertainty, information production, and transparency","year":2025,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","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":"Lixin Accounting Research Institute","keywords":"Transparency (behavior); Production (economics); Economics; Natural resource economics; Business; Computer science; Microeconomics; Computer security","score_opus":0.008794877860293227,"score_gpt":0.2583927301166212,"score_spread":0.249597852256328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409034766","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3282194,0.08853422,0.10255684,0.07752359,0.004441099,0.0020188668,0.0045659062,0.00010085785,0.3920392],"genre_scores_gemma":[0.9593589,0.03871268,0.00023409873,0.0008037187,0.00006611941,0.000023870192,0.00013826841,0.000002242983,0.00066013087],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99883944,0.000010518816,0.0008527838,0.00018088611,0.00003616022,0.00008021792],"domain_scores_gemma":[0.99923587,0.000016811407,0.00037993892,0.00017880408,0.0001653924,0.000023213439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005755254,0.00008368064,0.00040712202,0.00062144984,0.00003819227,0.000021955444,0.00017281061,0.000038495727,0.00031762742],"category_scores_gemma":[0.0012710934,0.00009124804,0.00016376366,0.00086654205,0.000041065872,0.00026692398,0.00003301332,0.000054559347,0.0000129168675],"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":[0.000014205531,0.000030562303,0.25293544,0.00086503214,0.00039563206,1.2254392e-7,0.000047166635,0.00014978494,4.821365e-7,0.7189453,0.0017746101,0.024841627],"study_design_scores_gemma":[0.0002569371,0.000021287648,0.5696075,0.00093292946,0.0002661222,0.0000010513013,0.0000071822205,0.046132103,0.0000066169123,0.08766841,0.29483792,0.0002619406],"about_ca_topic_score_codex":0.0012460232,"about_ca_topic_score_gemma":0.00038201475,"teacher_disagreement_score":0.6312769,"about_ca_system_score_codex":0.0001259167,"about_ca_system_score_gemma":0.000102651495,"threshold_uncertainty_score":0.37209868},"labels":[],"label_agreement":null},{"id":"W4409112652","doi":"10.1016/j.irfa.2025.104218","title":"Stock market volatility and oil shocks: A study of G7 economies","year":2025,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":10,"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":"Economics; Volatility (finance); Oil price; Stock market; Monetary economics; Stock (firearms); Financial economics; Geography","score_opus":0.01432156565625299,"score_gpt":0.2658009246283281,"score_spread":0.25147935897207513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409112652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93654597,0.017481985,0.001319739,0.00043607323,0.00022358516,0.00019943739,0.00042957277,0.000006475032,0.043357182],"genre_scores_gemma":[0.987258,0.010243839,0.00017624591,0.00015807134,0.000017108496,0.000027296763,0.000020428251,0.00000363857,0.0020953284],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99821377,0.000038195274,0.0012392226,0.00034831231,0.00006322856,0.00009725898],"domain_scores_gemma":[0.99861246,0.00009992194,0.00065138255,0.00033551687,0.00027152523,0.000029184677],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012097778,0.00012577258,0.000904692,0.00044714854,0.00003622978,0.000015899093,0.00028977115,0.000048118596,0.0010211678],"category_scores_gemma":[0.0012843591,0.00013357615,0.00025278976,0.0009278936,0.000055870703,0.000106835985,0.00013331704,0.00008260648,0.000001439333],"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":[0.000038127513,0.00029514873,0.9623203,0.0009866895,0.0007883966,4.2999847e-7,0.000049448594,0.0000035793432,3.5874177e-7,0.017214302,0.0005850646,0.01771815],"study_design_scores_gemma":[0.0003239234,0.000045319786,0.92018384,0.0003105834,0.00028386884,1.3745826e-7,0.000018562827,0.06354326,9.675177e-7,0.0051527377,0.010020895,0.000115931754],"about_ca_topic_score_codex":0.00090372306,"about_ca_topic_score_gemma":0.00079999183,"teacher_disagreement_score":0.06353968,"about_ca_system_score_codex":0.00006509816,"about_ca_system_score_gemma":0.00004654001,"threshold_uncertainty_score":0.99989206},"labels":[],"label_agreement":null},{"id":"W4409195348","doi":"10.1016/j.irfa.2025.104222","title":"Impact of carbon prices on household behaviors in housing transactions","year":2025,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Housing Market and Economics","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":true,"ca_institutions":"University of Waterloo; Saint Mary's University; Concordia University","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada; Concordia University","keywords":"Economics; Natural resource economics; Carbon fibers; Business; Monetary economics; Agricultural economics; Computer science","score_opus":0.02240963573929467,"score_gpt":0.2819513587043723,"score_spread":0.25954172296507766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409195348","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9638283,0.0040230667,0.002005349,0.00016665517,0.00033556967,0.0001336359,0.0001818821,0.000007939799,0.029317575],"genre_scores_gemma":[0.98222506,0.017408561,0.00015097465,0.00007826506,0.000021148027,0.000010376816,0.000016100941,0.0000060573284,0.000083443665],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99871546,0.000010615799,0.0009098051,0.00021225728,0.000043114782,0.00010876382],"domain_scores_gemma":[0.99919266,0.00003920341,0.00048063768,0.00019052163,0.00007711522,0.000019869321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004196981,0.00010464228,0.000650332,0.0010652556,0.000016324546,0.000009126536,0.00021967455,0.000056529072,0.00017260792],"category_scores_gemma":[0.00020473772,0.000113185815,0.00049302226,0.0015554059,0.00003204046,0.00007925001,0.00001259009,0.0000946295,0.0000030112365],"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":[0.000058343678,0.0005212483,0.9334988,0.00050670217,0.0007664332,0.0000020003486,0.00007790151,0.0079471655,0.000022215178,0.014675213,0.00012414805,0.0417998],"study_design_scores_gemma":[0.0002742071,0.00004953632,0.99265224,0.0011610156,0.0002392943,1.8487287e-7,0.0000037324137,0.0031529516,0.00005532053,0.0011848806,0.0010703732,0.00015626969],"about_ca_topic_score_codex":0.002386725,"about_ca_topic_score_gemma":0.0004298188,"teacher_disagreement_score":0.059153404,"about_ca_system_score_codex":0.00022597243,"about_ca_system_score_gemma":0.00007753937,"threshold_uncertainty_score":0.46155834},"labels":[],"label_agreement":null},{"id":"W4410221228","doi":"10.1016/j.irfa.2025.104322","title":"A multimodal sentiment classifier for financial decision making","year":2025,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Classifier (UML); Sentiment analysis; Computer science; Artificial intelligence; Business","score_opus":0.0658373583803326,"score_gpt":0.4619871740689902,"score_spread":0.3961498156886576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410221228","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010870578,0.0040605194,0.9730766,0.0014502913,0.0019172821,0.00056090957,0.00013363003,0.000017606033,0.007912595],"genre_scores_gemma":[0.5359437,0.0021512727,0.44673714,0.005822872,0.0005604092,0.00036847926,0.000069905196,0.000023716388,0.008322529],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956845,0.00021752453,0.0017284214,0.00062398176,0.0015236264,0.00022196757],"domain_scores_gemma":[0.99193907,0.0036463193,0.0008528053,0.000566912,0.002946619,0.00004824739],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0066051907,0.00019244726,0.0009103307,0.0012505008,0.00012554342,0.00007585828,0.0012175898,0.0000993767,0.0007613429],"category_scores_gemma":[0.11632196,0.00015080493,0.0011184625,0.0050702104,0.00007603026,0.00015130037,0.0002830006,0.0001224542,0.00002399961],"study_design_candidate":"design_other","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":[0.00015921955,0.00008163922,0.010386956,0.00014132811,0.0002289236,0.0000022551665,0.000018345652,0.00017181438,0.000034518616,0.01201885,0.030886404,0.94586974],"study_design_scores_gemma":[0.00089383667,0.000076099146,0.3617532,0.0070371428,0.0017999948,0.0000026556843,0.000013040991,0.06615067,0.000271477,0.09895413,0.4626455,0.0004022622],"about_ca_topic_score_codex":0.000019632853,"about_ca_topic_score_gemma":0.00006802862,"teacher_disagreement_score":0.9454675,"about_ca_system_score_codex":0.00014031642,"about_ca_system_score_gemma":0.00040155306,"threshold_uncertainty_score":0.8911216},"labels":[],"label_agreement":null},{"id":"W4410397194","doi":"10.1016/j.irfa.2025.104341","title":"Export control and earnings management: Evidence from China","year":2025,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Nanchang University; Education Department of Jiangxi Province; National Natural Science Foundation of China","keywords":"China; Earnings management; Earnings; Control (management); Business; Economics; Monetary economics; Accounting; Geography; Management","score_opus":0.005786143161152819,"score_gpt":0.24010612964485015,"score_spread":0.23431998648369734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410397194","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29149798,0.025038417,0.6112758,0.010549355,0.00092337036,0.0009787064,0.000047240283,0.00013787374,0.059551243],"genre_scores_gemma":[0.97375476,0.018204067,0.0005252866,0.0043815724,0.00029692645,0.000052541574,0.000061568586,0.000010328562,0.0027129296],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982461,0.000016687758,0.0006119189,0.0004328421,0.0005267497,0.00016572788],"domain_scores_gemma":[0.99334866,0.00006348454,0.005912379,0.00026617412,0.00039910479,0.000010205047],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0006177139,0.00018968192,0.00052985596,0.0005001198,0.000090904316,0.00008968318,0.0005504576,0.000037065278,0.0006157894],"category_scores_gemma":[0.00967621,0.00018296311,0.00023828931,0.00204332,0.00006658911,0.000665487,0.0003510731,0.00012864795,0.00006549544],"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":[0.000038819664,0.00005083009,0.7210151,0.0023331218,0.0013110819,0.000022599357,0.000016308342,0.00006276595,0.00002961684,0.024172548,0.010685358,0.24026184],"study_design_scores_gemma":[0.00023220881,0.0000025338775,0.7902304,0.004585488,0.0017603206,9.1058766e-8,0.0000050024137,0.00089595467,0.0000039323295,0.00050199986,0.20165467,0.00012740906],"about_ca_topic_score_codex":0.0011903323,"about_ca_topic_score_gemma":0.00006961003,"teacher_disagreement_score":0.6822568,"about_ca_system_score_codex":0.00004397254,"about_ca_system_score_gemma":0.000021326208,"threshold_uncertainty_score":0.9986657},"labels":[],"label_agreement":null},{"id":"W4410946567","doi":"10.1016/j.irfa.2025.104378","title":"Analyzing the market's reaction to AI narratives in corporate filings","year":2025,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Law, AI, and Intellectual Property","field":"Computer Science","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":"Concordia University; Western University","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada; Concordia University","keywords":"Narrative; Business; Economics; Financial economics; Art; Literature","score_opus":0.017149867318859233,"score_gpt":0.28507835602966114,"score_spread":0.2679284887108019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410946567","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010540808,0.012115095,0.8932017,0.04591132,0.0009200829,0.00051328674,0.0000127607755,0.000039782524,0.036745142],"genre_scores_gemma":[0.9377286,0.023421202,0.007485831,0.019503606,0.0001585974,0.00011223198,0.00002729514,0.0000089520445,0.011553688],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99871576,0.00012302052,0.0005179038,0.0002827136,0.0002471725,0.00011343425],"domain_scores_gemma":[0.9986649,0.00009548442,0.00023677146,0.00030445587,0.00067246647,0.000025896745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000873806,0.00010192376,0.00033186784,0.0004310587,0.0000618787,0.000052305597,0.00091102783,0.000029947912,0.00013545045],"category_scores_gemma":[0.0016647136,0.000067025954,0.00021306655,0.004611881,0.00005096989,0.00028261016,0.00016885914,0.00012288126,0.000018300929],"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":[0.00014372786,0.00039286114,0.017733248,0.0009555008,0.0015781658,0.000019123549,0.0023467385,0.00040210545,0.0039858827,0.2161511,0.22196981,0.5343217],"study_design_scores_gemma":[0.0005112594,0.0001904988,0.13854107,0.009371692,0.00063615595,0.000004676526,0.0000840024,0.12211485,0.004659096,0.03558817,0.6875375,0.0007610342],"about_ca_topic_score_codex":0.00015144925,"about_ca_topic_score_gemma":0.00022559564,"teacher_disagreement_score":0.9271878,"about_ca_system_score_codex":0.00008805035,"about_ca_system_score_gemma":0.00016518534,"threshold_uncertainty_score":0.2733239},"labels":[],"label_agreement":null},{"id":"W4411125685","doi":"10.1016/j.irfa.2025.104384","title":"Empty pledges and powerless conventions: How transition climate risks are disrupting financial markets?","year":2025,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Financial market; Climate change; Economics; Transition (genetics); Business; Natural resource economics; Finance; Ecology; Chemistry; Biology","score_opus":0.021482155896722845,"score_gpt":0.2882056123611606,"score_spread":0.26672345646443774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411125685","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72946316,0.11578757,0.10689312,0.015103508,0.0018023397,0.0010265026,0.0063070687,0.00005884929,0.023557901],"genre_scores_gemma":[0.95256937,0.045843236,0.0003711235,0.0005671144,0.00005669487,0.000037236252,0.00016781862,0.000006314899,0.00038111262],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984323,0.000046649282,0.0008540377,0.0004079884,0.000083557454,0.00017546918],"domain_scores_gemma":[0.9986138,0.0000794417,0.0007222756,0.00023267354,0.0003099432,0.000041868265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012778497,0.00016213593,0.0007697956,0.00047202982,0.00011390733,0.00005897921,0.0002331385,0.00009192408,0.00039361135],"category_scores_gemma":[0.0017465658,0.00017829241,0.0004334756,0.0011520642,0.00007534235,0.00018995717,0.00007992156,0.00013754918,0.0000045078355],"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":[0.00008301328,0.0002151256,0.7815305,0.0035927228,0.0006772036,0.0000066785856,0.000078518824,0.0000095641035,0.0000034063307,0.1846022,0.0014974221,0.027703632],"study_design_scores_gemma":[0.0003262073,0.000013215825,0.94676757,0.0017376647,0.0003368273,8.1130463e-7,0.00002326926,0.024139442,0.000004589533,0.010861237,0.01558177,0.00020739896],"about_ca_topic_score_codex":0.00015931837,"about_ca_topic_score_gemma":0.00024854782,"teacher_disagreement_score":0.2231062,"about_ca_system_score_codex":0.00006383934,"about_ca_system_score_gemma":0.000040215604,"threshold_uncertainty_score":0.7270553},"labels":[],"label_agreement":null},{"id":"W4411276203","doi":"10.1016/j.irfa.2025.104366","title":"The effect of NYSE American’s latency delay on informed trading","year":2025,"lang":"en","type":"article","venue":"International Review of Financial Analysis","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":"University of Victoria","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Latency (audio); Business; Economics; Computer science; Telecommunications","score_opus":0.010751117900968218,"score_gpt":0.2672574363689468,"score_spread":0.25650631846797856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411276203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5280961,0.068401605,0.0018292398,0.0053348397,0.0017122691,0.0008583207,0.00039647508,0.000029001905,0.39334217],"genre_scores_gemma":[0.9559207,0.042509526,0.00008455323,0.00062733574,0.00003638339,0.00006510307,0.000023213846,0.0000045433662,0.00072862976],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99863434,0.000027034825,0.00093863806,0.00018206231,0.00008840367,0.00012952526],"domain_scores_gemma":[0.9985688,0.0002766291,0.0007794625,0.00023166456,0.00012342796,0.00002004172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073698134,0.00012468197,0.00069231493,0.00036731272,0.00007077833,0.000019777039,0.00039311047,0.000031361116,0.00012934965],"category_scores_gemma":[0.0023876498,0.00009093249,0.0004405358,0.0016551275,0.000139386,0.0000972688,0.00003675151,0.00008645387,0.000016595603],"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":[0.000088778805,0.00003970303,0.0822687,0.00062571606,0.00072221254,0.000001138558,0.00002312939,0.000030083658,0.000003126463,0.86374444,0.005489293,0.046963695],"study_design_scores_gemma":[0.00061088527,0.00066816574,0.623594,0.0028175137,0.00057670905,5.0072083e-7,0.000011146011,0.0023140614,0.0004316791,0.019313639,0.34933788,0.0003238116],"about_ca_topic_score_codex":0.00035611307,"about_ca_topic_score_gemma":0.0000673534,"teacher_disagreement_score":0.8444308,"about_ca_system_score_codex":0.000078647456,"about_ca_system_score_gemma":0.00006478147,"threshold_uncertainty_score":0.37081194},"labels":[],"label_agreement":null},{"id":"W4411306904","doi":"10.1016/j.irfa.2025.104369","title":"Examining high-frequency patterns in Robinhood users’ trading behavior","year":2025,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","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":"HEC Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"High-frequency trading; Business; Economics; Computer science; Econometrics; Financial economics; Algorithmic trading","score_opus":0.03279196701548151,"score_gpt":0.2617542879008088,"score_spread":0.22896232088532728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411306904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92116237,0.02474098,0.0035224184,0.0011092939,0.001111649,0.00042289976,0.00041326566,0.00002276548,0.047494385],"genre_scores_gemma":[0.98398674,0.014056282,0.00054287526,0.00079146004,0.000047887723,0.00009430658,0.000096324584,0.000007195571,0.00037692572],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981578,0.000021797714,0.0011871153,0.0003676509,0.000081344864,0.00018429408],"domain_scores_gemma":[0.99909115,0.000037607417,0.0004820437,0.00024205663,0.00011926557,0.000027904754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005745625,0.00015828316,0.0007654715,0.00093743124,0.000037693342,0.00003228456,0.00040701384,0.00007328909,0.00084742863],"category_scores_gemma":[0.0006441512,0.00017561193,0.00025289154,0.001912244,0.000037948517,0.00026032422,0.00005521196,0.00013037083,0.000017989298],"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":[0.0000034033137,0.00009723255,0.5848052,0.0002896365,0.00012829276,0.0000066829607,0.000025902851,0.000007036051,0.00001178509,0.41100436,0.0002374193,0.0033830553],"study_design_scores_gemma":[0.00024027063,0.000024352403,0.984408,0.001469738,0.00015999714,3.3727645e-7,0.000012262471,0.00017834999,0.000027528798,0.011032066,0.0022795582,0.0001675109],"about_ca_topic_score_codex":0.0016702139,"about_ca_topic_score_gemma":0.00033949045,"teacher_disagreement_score":0.39997232,"about_ca_system_score_codex":0.00015939231,"about_ca_system_score_gemma":0.00007165322,"threshold_uncertainty_score":0.9278749},"labels":[],"label_agreement":null},{"id":"W4411729009","doi":"10.1016/j.irfa.2025.104450","title":"Peer network and financial misconduct: An analysis from the perspective of social reciprocity","year":2025,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Social Science Fund of China; Fundamental Research Funds for the Central Universities","keywords":"Misconduct; Reciprocity (cultural anthropology); Perspective (graphical); Social network analysis; Economics; Psychology; Social psychology; Sociology; Political science; Computer science; Law; Social capital","score_opus":0.015482483812795335,"score_gpt":0.27566944933330445,"score_spread":0.26018696552050913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411729009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9161112,0.022843573,0.010728423,0.033164285,0.0009378774,0.0006359415,0.000665665,0.000039771196,0.014873289],"genre_scores_gemma":[0.9912066,0.0018687461,0.00017503256,0.004850812,0.0010066285,0.000019185298,0.00019490617,0.0000057665607,0.00067236536],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99838525,0.000030869753,0.00057639077,0.00035797368,0.0005086601,0.00014087043],"domain_scores_gemma":[0.9964972,0.00007063655,0.0008381553,0.00024708177,0.0023395675,0.0000073530773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072481553,0.00016347459,0.0007147044,0.00024233645,0.00014916169,0.00004988807,0.0004913925,0.00006860388,0.00029695084],"category_scores_gemma":[0.0017680827,0.00012744156,0.00049314747,0.0052275104,0.00013432263,0.0004143047,0.00014173715,0.00013668039,0.000004678187],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015307317,0.00019003038,0.5727886,0.00039049893,0.0028864085,0.000004730155,0.0002048447,0.00036420315,0.000025068206,0.36771497,0.035232045,0.020045549],"study_design_scores_gemma":[0.00017748718,0.000005167168,0.91323215,0.00032105396,0.0054365587,4.3720988e-8,0.000049900875,0.0010050074,0.000006711153,0.008718489,0.07092172,0.00012571567],"about_ca_topic_score_codex":0.0075729997,"about_ca_topic_score_gemma":0.0054321936,"teacher_disagreement_score":0.35899648,"about_ca_system_score_codex":0.000051149167,"about_ca_system_score_gemma":0.00012007371,"threshold_uncertainty_score":0.99903566},"labels":[],"label_agreement":null},{"id":"W4413388474","doi":"10.1016/j.irfa.2025.104573","title":"Value effects of sovereign wealth funds' exclusionary policies: The case of the Norwegian government pension fund-global (NGPF-G)","year":2025,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"State Capitalism and Financial Governance","field":"Business, Management and Accounting","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":"Carleton University","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Sovereign wealth fund; Norwegian; Pension; Pension fund; Value (mathematics); Economics; Financial system; Government (linguistics); Business; Monetary economics; Finance; Macroeconomics","score_opus":0.008055722205621594,"score_gpt":0.2622002823388584,"score_spread":0.2541445601332368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413388474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90526736,0.029993935,0.00266382,0.0076210047,0.002868756,0.0014088068,0.00058736553,0.00002224947,0.049566694],"genre_scores_gemma":[0.9896307,0.005528033,0.00004136968,0.0042498456,0.00021281575,0.000018055014,0.000016881131,0.0000058472733,0.00029644396],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.998126,0.0000399318,0.00075561577,0.00023539878,0.00068017666,0.00016288695],"domain_scores_gemma":[0.9975964,0.00013722354,0.0011935002,0.00044562435,0.000617291,0.000009969003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046969557,0.00017918766,0.0005554269,0.000090404894,0.00013783295,0.000020039908,0.0007098306,0.00005338568,0.000082888415],"category_scores_gemma":[0.0016524637,0.00011220345,0.0005751284,0.0025806734,0.00015401212,0.00020619214,0.00053970923,0.00009960112,0.0000055100404],"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":[0.00007413447,0.00024004457,0.01994414,0.0055754795,0.0004461357,0.0000447222,0.000054688924,0.00014021977,0.00011178363,0.9328705,0.011559252,0.028938863],"study_design_scores_gemma":[0.00076418224,0.000035808443,0.91874164,0.008865495,0.0032521323,0.000013836731,0.00013819478,0.0015501165,0.0003115647,0.013900495,0.052110303,0.0003162113],"about_ca_topic_score_codex":0.004485693,"about_ca_topic_score_gemma":0.0004554841,"teacher_disagreement_score":0.91897005,"about_ca_system_score_codex":0.00013469748,"about_ca_system_score_gemma":0.00014492829,"threshold_uncertainty_score":0.6781056},"labels":[],"label_agreement":null},{"id":"W4413406849","doi":"10.1016/j.irfa.2025.104515","title":"Cross-border banking and the transmission of global shocks to credit cycles in developing economies: A commodity price cycles channel","year":2025,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Banking stability, regulation, efficiency","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":"Université Laval; March of Dimes Canada","funders":"Foreign, Commonwealth and Development Office; Economic and Social Research Council; Department for International Development, UK Government","keywords":"Commodity; Channel (broadcasting); Economics; Monetary economics; Transmission channel; Transmission (telecommunications); International economics; Business; Finance; Telecommunications","score_opus":0.01506008135015607,"score_gpt":0.3212473951707509,"score_spread":0.30618731382059483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413406849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8498382,0.03266007,0.10499298,0.006450315,0.00025141804,0.0004974459,0.00026460603,0.000010327716,0.0050346144],"genre_scores_gemma":[0.99167985,0.006494015,0.0011982272,0.0004999625,0.000027278536,0.000030776566,0.00001763849,0.0000037426223,0.00004848389],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981962,0.000038739214,0.0012146932,0.00033000714,0.000085980086,0.00013439005],"domain_scores_gemma":[0.99883866,0.00016476569,0.0004900012,0.00022459331,0.00026025457,0.000021721315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015440608,0.00012608877,0.0007404519,0.0003050197,0.000071500144,0.0000335459,0.0003698699,0.0000611785,0.00015990586],"category_scores_gemma":[0.0012623551,0.000113755115,0.0002219027,0.0018539199,0.00015684137,0.00013488677,0.000113502276,0.00007226908,0.0000022628972],"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":[0.000066019464,0.00008932027,0.5076881,0.00088250544,0.00022702428,3.103436e-7,0.00037252586,0.0026313828,8.6534465e-7,0.46685565,0.000057624682,0.021128653],"study_design_scores_gemma":[0.00040973016,0.000007688436,0.9495071,0.0010737069,0.00005973665,3.791682e-7,0.000008751259,0.0077320486,0.000015161951,0.034235697,0.0068355445,0.00011442805],"about_ca_topic_score_codex":0.0007664303,"about_ca_topic_score_gemma":0.00046582165,"teacher_disagreement_score":0.44181898,"about_ca_system_score_codex":0.0002212908,"about_ca_system_score_gemma":0.00010190664,"threshold_uncertainty_score":0.46387988},"labels":[],"label_agreement":null},{"id":"W4414054162","doi":"10.1016/j.irfa.2025.104617","title":"Local government implicit debt and corporate bankruptcy: Evidence from China","year":2025,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Graduate Scientific Research and Innovation Foundation of Chongqing; National Natural Science Foundation of China","keywords":"Bankruptcy; Endogeneity; Local government; Debt; Public finance; Debt-to-GDP ratio; Government (linguistics); Economic interventionism","score_opus":0.013784481372779506,"score_gpt":0.2476510762842632,"score_spread":0.23386659491148368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414054162","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8186263,0.054252263,0.104307935,0.011712209,0.00094883464,0.0005386361,0.0002891813,0.000052415573,0.009272235],"genre_scores_gemma":[0.97597146,0.019337548,0.00017211113,0.0037151903,0.00019659556,0.000024564206,0.00004813132,0.0000060607417,0.00052832573],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99849916,0.000009933744,0.00052716257,0.00034624327,0.0004884261,0.00012908246],"domain_scores_gemma":[0.99847645,0.000048956088,0.000843193,0.00024435093,0.0003773801,0.000009684055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003158783,0.00016669245,0.00049045804,0.00012808932,0.000058767982,0.000057805144,0.00037957664,0.00004344652,0.00028956038],"category_scores_gemma":[0.0007558761,0.00014853106,0.00020195711,0.0017888303,0.00007053262,0.00055064494,0.00019509593,0.0000916569,0.00003480278],"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":[0.00010823888,0.00010505326,0.7578999,0.0015222384,0.0005881577,0.00002128514,0.000009481841,0.0001517479,0.00020498918,0.05367451,0.016786003,0.16892841],"study_design_scores_gemma":[0.00016662246,0.0000052851715,0.9478304,0.0041736993,0.00090167666,2.0702419e-7,0.0000027904887,0.0033979076,0.00005932452,0.0035814035,0.039736256,0.0001444607],"about_ca_topic_score_codex":0.0032395811,"about_ca_topic_score_gemma":0.00076763163,"teacher_disagreement_score":0.18993048,"about_ca_system_score_codex":0.00007919844,"about_ca_system_score_gemma":0.00006868339,"threshold_uncertainty_score":0.60569215},"labels":[],"label_agreement":null},{"id":"W4414106900","doi":"10.1016/j.irfa.2025.104596","title":"Capital allocation efficiency of SMEs: Global evidence","year":2025,"lang":"en","type":"article","venue":"International Review of Financial Analysis","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":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Xi’an Jiaotong-Liverpool University; University of Alberta","keywords":"Capital allocation line; Investment (military); Capital market; Financial market; Capital (architecture); Cash flow; Capital market imperfections; Financial capital","score_opus":0.013339281157504124,"score_gpt":0.27861490003368955,"score_spread":0.26527561887618545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414106900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8375118,0.0667759,0.06106799,0.008414489,0.0015210569,0.00062054343,0.00011901482,0.000047590165,0.02392161],"genre_scores_gemma":[0.99078673,0.007116273,0.00010248656,0.0015612472,0.00012226975,0.0000124548405,0.000030324776,0.000002089915,0.00026610945],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99877673,0.000006947142,0.00055048225,0.00020139455,0.00037446717,0.00009000474],"domain_scores_gemma":[0.99783736,0.00002743367,0.00069035945,0.00019838997,0.0012424282,0.0000040070186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034457285,0.000100652316,0.00036025094,0.00019779016,0.000028669809,0.000018212564,0.00043609415,0.000030710722,0.0001488835],"category_scores_gemma":[0.0017721154,0.00009185522,0.00025761823,0.0037524495,0.000051696603,0.00046120893,0.00008497135,0.00004094857,0.000029695004],"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":[0.00005848864,0.00024790282,0.62050825,0.0051099877,0.00039407247,0.0000048820743,0.000010395664,0.00037081374,0.00017637841,0.30863637,0.010953538,0.05352892],"study_design_scores_gemma":[0.00015004423,0.000008140293,0.96417385,0.006775562,0.0009511367,1.952182e-7,0.0000050206804,0.0015584122,0.00006365046,0.0022280447,0.02396133,0.00012458315],"about_ca_topic_score_codex":0.00127614,"about_ca_topic_score_gemma":0.00031478636,"teacher_disagreement_score":0.34366563,"about_ca_system_score_codex":0.000055403245,"about_ca_system_score_gemma":0.0001355344,"threshold_uncertainty_score":0.3745747},"labels":[],"label_agreement":null},{"id":"W4416441612","doi":"10.1016/j.irfa.2025.104786","title":"Quasi-indexers’ ownership and capital budgeting efficiency of firms","year":2025,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Portfolio; Incentive; Capital (architecture); Investment (military); Cost of capital; Institutional investor; Capital allocation line; Capital expenditure","score_opus":0.009245644250938798,"score_gpt":0.2431811999798126,"score_spread":0.2339355557288738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416441612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9576525,0.017758628,0.006748153,0.003232214,0.0004899698,0.00024987204,0.000039551145,0.00002038904,0.013808714],"genre_scores_gemma":[0.9945885,0.003549651,0.00008081035,0.0012060675,0.00011885285,0.000007655992,0.00002438766,0.0000035263715,0.00042053536],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989092,0.000006701897,0.0004936757,0.00020456803,0.00028266764,0.00010318609],"domain_scores_gemma":[0.9985742,0.00003703643,0.00063172803,0.00014403467,0.00060794083,0.0000050789695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004007741,0.00010810873,0.00041325306,0.0003290158,0.000039525246,0.000021417583,0.00027038244,0.00003426936,0.000110293106],"category_scores_gemma":[0.0011434607,0.00009242935,0.00020269316,0.0021236553,0.00006456966,0.00026082498,0.000094024894,0.00006446299,0.000009399802],"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":[0.00005076417,0.0003309989,0.7714136,0.0058716936,0.00041110435,0.0000083719615,0.00004345127,0.00006793085,0.00015555038,0.15020181,0.0049076434,0.066537075],"study_design_scores_gemma":[0.0004326527,0.000021156731,0.9318729,0.0054415576,0.0013003312,4.3803436e-7,0.000029613106,0.0025486422,0.00014055481,0.002741012,0.055221293,0.00024982067],"about_ca_topic_score_codex":0.0008104027,"about_ca_topic_score_gemma":0.00017185108,"teacher_disagreement_score":0.16045934,"about_ca_system_score_codex":0.000019505307,"about_ca_system_score_gemma":0.000056522116,"threshold_uncertainty_score":0.37691593},"labels":[],"label_agreement":null},{"id":"W4416549059","doi":"10.1016/j.irfa.2025.104811","title":"Digital new quality productivity and high-quality development of enterprises","year":2025,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Department of Education of Guangdong Province; St. Thomas University; Shantou University","keywords":"Productivity; Total factor productivity; Quality (philosophy); Digital Revolution; Context (archaeology); Robustness (evolution); Government (linguistics); Information technology","score_opus":0.018400194867551605,"score_gpt":0.30359436836206216,"score_spread":0.28519417349451054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416549059","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68904316,0.010684164,0.20074955,0.0011103223,0.00082207134,0.00050625694,0.0005264346,0.00011370502,0.096444346],"genre_scores_gemma":[0.997206,0.0009095581,0.0011561994,0.000038287904,0.000024195937,0.0000093533035,0.00006964173,0.0000033435686,0.00058341975],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99867624,0.000014660047,0.0008356001,0.0001288429,0.0002757809,0.00006889883],"domain_scores_gemma":[0.9993629,0.000052245887,0.00013634775,0.00014169271,0.00027640164,0.000030427802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030865596,0.000098709694,0.00040658418,0.0001862176,0.000014284012,0.000020032008,0.00016868097,0.000036829995,0.000060089205],"category_scores_gemma":[0.0006893808,0.00009466881,0.00012160935,0.00081530964,0.00003958128,0.0003071406,0.000039211092,0.00006603065,0.0000026325615],"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":[0.000020106718,0.00012405649,0.05311994,0.005902048,0.0014508497,3.5805982e-7,0.00013227826,0.000376141,0.00019367103,0.01802017,0.0018183845,0.918842],"study_design_scores_gemma":[0.0003318008,0.00000911782,0.9215242,0.0036289762,0.00036897854,5.1484716e-7,0.000026461681,0.00009982859,0.009612206,0.0016835945,0.062415134,0.00029915298],"about_ca_topic_score_codex":0.000023849281,"about_ca_topic_score_gemma":0.000032010725,"teacher_disagreement_score":0.91854286,"about_ca_system_score_codex":0.00004528083,"about_ca_system_score_gemma":0.00013102221,"threshold_uncertainty_score":0.3860482},"labels":[],"label_agreement":null},{"id":"W6940545053","doi":"10.1016/j.irfa.2025.104413","title":"Concentration in mutual fund equity holdings during global economic crises","year":2025,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","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":"Brock University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Mutual fund; Equity (law); Portfolio; Exploit; Basis point; Private equity fund; Fund of funds; Stock (firearms)","score_opus":0.02144502455961858,"score_gpt":0.31613654559272936,"score_spread":0.2946915210331108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6940545053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97466075,0.00806553,0.000025366968,0.0017154706,0.00040771646,0.00013409652,0.0013040141,0.000011355545,0.013675707],"genre_scores_gemma":[0.97169304,0.02703716,0.000018833001,0.00038403372,0.00008847541,0.000010451936,0.00058849104,1.682257e-7,0.0001793429],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918145,0.000031421645,0.00039086686,0.00017103723,0.00012258528,0.00010263572],"domain_scores_gemma":[0.9995307,0.00015214276,0.00014097666,0.000034648954,0.00011797462,0.000023588793],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016530218,0.00007636599,0.00024745468,0.000031292337,0.000041987336,0.00002352816,0.00022380755,0.00003723453,0.0029208306],"category_scores_gemma":[0.0004282931,0.000038889542,0.00018667427,0.00081495213,0.00000742434,0.00012605853,0.00006489827,0.000055196775,0.000053616142],"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":[0.00009726778,0.00012476137,0.88367903,0.00027337667,0.0002659578,0.0000073029832,0.000012692784,0.000115446855,0.0051516723,0.05368344,0.007306737,0.04928232],"study_design_scores_gemma":[0.00007810541,0.000026561132,0.94513893,0.0017566342,0.00029368373,0.000002932936,0.0000124590615,0.00072060496,0.00079064653,0.0014607422,0.049563847,0.00015487112],"about_ca_topic_score_codex":0.001889371,"about_ca_topic_score_gemma":0.0024147716,"teacher_disagreement_score":0.061459888,"about_ca_system_score_codex":0.00013916436,"about_ca_system_score_gemma":0.000033457432,"threshold_uncertainty_score":0.9979906},"labels":[],"label_agreement":null}]}