{"meta":{"query_hash":"479b73861d24","filters":{"venue":"Asia-Pacific Journal of Financial Studies"},"cohort_total":19,"direct_labels_cover":0,"predictions_cover":19,"exported":19,"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/479b73861d24","api":"https://metacan.xera.ac/api/v1/cohort?venue=Asia-Pacific+Journal+of+Financial+Studies"},"results":[{"id":"W2094295087","doi":"10.1111/ajfs.12012","title":"Ownership Structure, Intensive Board Monitoring, and Firm Value: Evidence from <scp>K</scp>orea","year":2013,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Financial Studies","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute on Governance","funders":"","keywords":"Shareholder; Corporate governance; Business; Enterprise value; Accounting; Cash flow; Control (management); Value (mathematics); On board; Monetary economics; Finance; Economics; Management; Computer science","score_opus":0.03724383645062279,"score_gpt":0.24548745070788114,"score_spread":0.20824361425725835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094295087","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":[0.97857887,0.0172882,0.000059900573,0.001334272,0.00204834,0.00019144667,0.000010136327,0.000024068895,0.0004647415],"genre_scores_gemma":[0.99186766,0.0032633187,0.0003554054,0.00031099984,0.0038363035,0.000008395912,0.0000012233525,0.000024860497,0.00033181018],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981703,0.000019919657,0.00060325215,0.00031634604,0.0004839513,0.00040623057],"domain_scores_gemma":[0.99648577,0.00035741244,0.0012749215,0.00020985692,0.0016375371,0.00003452417],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026563797,0.00033210166,0.0006395376,0.00016218054,0.00028221664,0.00026036412,0.000340306,0.00011214205,0.000014800894],"category_scores_gemma":[0.0039111204,0.0002534597,0.00014337705,0.00041607989,0.00021960415,0.0021992212,0.0001970257,0.00041136853,0.000066670575],"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":[0.00006144786,0.000036302863,0.7889197,0.00012878417,0.00018341614,0.00014935607,0.0016174167,0.00002583666,0.0014663595,0.0007384308,0.18868554,0.017987415],"study_design_scores_gemma":[0.00052627386,0.00007874762,0.93854165,0.0009129264,0.0001407069,0.000013622444,0.005379508,0.0000136925555,0.00055315124,0.012689734,0.04098459,0.00016539068],"about_ca_topic_score_codex":0.0010316215,"about_ca_topic_score_gemma":0.00007708491,"teacher_disagreement_score":0.14962195,"about_ca_system_score_codex":0.00007354696,"about_ca_system_score_gemma":0.000073506955,"threshold_uncertainty_score":0.9999918},"labels":[],"label_agreement":null},{"id":"W2131162354","doi":"10.1111/j.2041-6156.2010.00008.x","title":"Association Between Accounting Conservatism and Analysts’ Forecast Inefficiency*","year":2010,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Financial Studies","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Inefficiency; Earnings; Conservatism; Optimism; Economics; Association (psychology); Econometrics; Accounting; Balance sheet; Psychology","score_opus":0.014144187814749664,"score_gpt":0.23188038858583732,"score_spread":0.21773620077108766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131162354","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":[0.9864525,0.000569577,0.0031883125,0.0030471685,0.0011395594,0.00014709965,0.0000039034426,0.00003699122,0.0054148925],"genre_scores_gemma":[0.99549353,0.00017970568,0.00040570716,0.00027486653,0.0032232183,0.000003875447,0.0000022120005,0.00002288701,0.0003939707],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997958,0.000016450962,0.000745413,0.00024340527,0.00062770874,0.00040902925],"domain_scores_gemma":[0.98240227,0.0002379834,0.016342591,0.00013426271,0.00086237973,0.000020530933],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0019306544,0.00024405004,0.0005739537,0.0003245919,0.000504226,0.00027906985,0.0002895986,0.00011198114,0.000026226739],"category_scores_gemma":[0.023429822,0.00021946745,0.0001294674,0.00068348437,0.0001330422,0.001295433,0.0002635201,0.00063248933,0.000031891854],"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":[0.000014458798,0.000027317868,0.897339,0.000084971885,0.00020065546,0.00002243477,0.0003059912,0.0000067515953,0.00028971463,0.0031173208,0.013878922,0.0847125],"study_design_scores_gemma":[0.0005612462,0.000028589517,0.7970299,0.00012778255,0.00029659935,0.0000067344376,0.0010177075,0.000040927087,0.00004590006,0.002956969,0.19763224,0.00025536586],"about_ca_topic_score_codex":0.00009587355,"about_ca_topic_score_gemma":0.00023357036,"teacher_disagreement_score":0.18375331,"about_ca_system_score_codex":0.00008889506,"about_ca_system_score_gemma":0.000046902223,"threshold_uncertainty_score":0.9847962},"labels":[],"label_agreement":null},{"id":"W2519663525","doi":"10.1111/ajfs.12138","title":"Peer Group Effect in Firm Cash Holding Policy: Evidence from Korean Manufacturing Firms","year":2016,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Financial Studies","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Endogeneity; Competitor analysis; Cash; Business; Instrumental variable; Mediation; Empirical research; Industrial organization; Monetary economics; Marketing; Finance; Economics; Econometrics","score_opus":0.02831244773156857,"score_gpt":0.2571059702465611,"score_spread":0.22879352251499255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2519663525","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":[0.9867074,0.0034891977,0.00017860059,0.007727922,0.0011060247,0.00016227989,0.000010820434,0.000024175602,0.0005935838],"genre_scores_gemma":[0.9941531,0.0015111204,0.00007515049,0.00021139157,0.003598499,0.000009376219,8.4989955e-7,0.000026283727,0.00041423357],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99785554,0.000029888328,0.00068232487,0.0003181777,0.00062921975,0.000484856],"domain_scores_gemma":[0.99800485,0.00043119388,0.0010001406,0.0002252541,0.00031531416,0.000023249411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011665914,0.00032259402,0.00068072375,0.0003491639,0.0002047161,0.000114481845,0.00040572762,0.000094806484,0.000023006818],"category_scores_gemma":[0.0025913066,0.00021179026,0.00020730161,0.00046871917,0.00012319209,0.0021640623,0.00019447955,0.00027754303,0.00008556984],"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":[0.00057971914,0.000084579784,0.79999316,0.00015843,0.00009982346,0.0007678114,0.00069426023,0.000026505773,0.0023862822,0.0007472907,0.035706267,0.15875587],"study_design_scores_gemma":[0.0013758834,0.000110712215,0.9499942,0.0027048714,0.000061544975,0.000011476178,0.00027700618,0.0000036093552,0.0016290147,0.005508656,0.037971977,0.0003510333],"about_ca_topic_score_codex":0.0013564624,"about_ca_topic_score_gemma":0.0010565912,"teacher_disagreement_score":0.15840484,"about_ca_system_score_codex":0.00026239877,"about_ca_system_score_gemma":0.00006672676,"threshold_uncertainty_score":0.8636556},"labels":[],"label_agreement":null},{"id":"W2911933971","doi":"10.1111/ajfs.12245","title":"Business Group Affiliation, Internal Labor Markets, External Capital Markets, and Labor Investment Efficiency","year":2019,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Financial Studies","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Chaebol; Business; Corporate group; Labour economics; Investment (military); Productivity; Labor cost; Monetary economics; Economics; Finance; Corporate governance","score_opus":0.008157669349160816,"score_gpt":0.20638227276242307,"score_spread":0.19822460341326226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911933971","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":[0.9830888,0.010227652,0.00015515169,0.0015482955,0.002505227,0.00025176734,0.000021111717,0.000023837525,0.0021781656],"genre_scores_gemma":[0.9935544,0.0025228802,0.00026033368,0.0008340495,0.0016995837,0.0000087499275,0.0000029335845,0.000028735773,0.0010882905],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978757,0.000027991862,0.0007631055,0.0003423187,0.00057584443,0.0004150775],"domain_scores_gemma":[0.9973005,0.00008332457,0.0013028191,0.00020282526,0.0010782595,0.00003228606],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008081382,0.0003457119,0.0006122302,0.00026559707,0.00022224842,0.00019852053,0.0003476845,0.00008747567,0.00008565294],"category_scores_gemma":[0.000524318,0.0002854143,0.00012322994,0.00076584425,0.00016839446,0.0015092224,0.00020907215,0.00029209585,0.000084103354],"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":[0.0009151169,0.00030401515,0.9399928,0.00045395482,0.00013166635,0.00022182509,0.0005676227,0.000021072088,0.00076475734,0.018974721,0.025539594,0.012112887],"study_design_scores_gemma":[0.0014865267,0.00007884288,0.923135,0.00055657636,0.000073842275,0.000045172506,0.00094920286,0.000032429194,0.000046510093,0.00231729,0.07096467,0.000313977],"about_ca_topic_score_codex":0.0000884652,"about_ca_topic_score_gemma":0.00007939952,"teacher_disagreement_score":0.04542508,"about_ca_system_score_codex":0.000111511414,"about_ca_system_score_gemma":0.000117747244,"threshold_uncertainty_score":0.9999598},"labels":[],"label_agreement":null},{"id":"W2998128553","doi":"10.1111/ajfs.12278","title":"Insider Trading, Informativeness, and Price Efficiency Around the World","year":2019,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Enforcement; Insider trading; Earnings; Insider; Business; Stock price; Alternative trading system; Stock (firearms); Monetary economics; Algorithmic trading; Accounting; Economics; Finance; Law","score_opus":0.0303450477448292,"score_gpt":0.2365382371569295,"score_spread":0.2061931894121003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998128553","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":[0.825639,0.030838788,0.0001642801,0.001975497,0.0017074195,0.0002844576,0.000015303165,0.000011623259,0.13936365],"genre_scores_gemma":[0.9949202,0.0029805356,0.00013294701,0.00023886214,0.00024579503,0.0000059245654,4.4291582e-7,0.00001159281,0.0014637061],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984904,0.000024418701,0.00091077934,0.00017759934,0.000093973125,0.00030281933],"domain_scores_gemma":[0.99856305,0.00018654267,0.00091108796,0.00016936044,0.00011876835,0.000051193547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010614427,0.00020238783,0.0006217631,0.000255921,0.00028887723,0.000118839875,0.00024263954,0.000056222692,0.000053783184],"category_scores_gemma":[0.00034151415,0.0001454905,0.00013656804,0.0004405794,0.0002749435,0.0007226713,0.000073326744,0.00029742194,0.00005460534],"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":[0.000111133224,0.00011453237,0.13086124,0.00014179798,0.00018387754,0.000014261868,0.0077773742,0.000029131257,0.000020257557,0.84104043,0.015451671,0.0042543127],"study_design_scores_gemma":[0.001088556,0.0005703382,0.35358933,0.00019517954,0.00002557368,0.00005702337,0.0063029057,0.000092145834,0.00007720372,0.108919315,0.5286597,0.00042275424],"about_ca_topic_score_codex":0.000016976566,"about_ca_topic_score_gemma":0.000020980224,"teacher_disagreement_score":0.7321211,"about_ca_system_score_codex":0.000092248345,"about_ca_system_score_gemma":0.000076830234,"threshold_uncertainty_score":0.5932931},"labels":[],"label_agreement":null},{"id":"W3017005047","doi":"10.1111/ajfs.12297","title":"International Market Integration: A Survey","year":2020,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Financial Studies","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Ontario Tech University","funders":"","keywords":"Market integration; Equity (law); Market research; Empirical research; Market microstructure; Economics; Financial economics; Business; Marketing; Order (exchange); Political science; Microeconomics; Finance; Mathematics","score_opus":0.10480475959162805,"score_gpt":0.2768263611468598,"score_spread":0.17202160155523177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3017005047","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":[0.54814327,0.06440456,0.13561928,0.04480175,0.016693875,0.0007659146,0.0011146348,0.00012500172,0.18833174],"genre_scores_gemma":[0.9933599,0.003481337,0.0016708313,0.00024851167,0.00093121355,0.0000031640075,0.0000047931594,0.000015239419,0.000284991],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99818903,0.00004216157,0.0011871639,0.0002508202,0.00011007432,0.0002207362],"domain_scores_gemma":[0.9984175,0.00013136538,0.0007957156,0.00011706817,0.00043549866,0.000102876955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013863961,0.00017842693,0.00066540693,0.00015971214,0.00013872536,0.000060059356,0.00034924172,0.00009049131,0.0001833256],"category_scores_gemma":[0.0044490695,0.00017695905,0.00022453409,0.00034878153,0.000090326364,0.0003848484,0.000083425,0.00034318204,0.000077150304],"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":[0.0015322753,0.00032865632,0.523746,0.00008552565,0.0006356534,0.00011607444,0.017410377,0.00016077304,0.000077621466,0.06978769,0.3265776,0.059541725],"study_design_scores_gemma":[0.0017575085,0.0007286797,0.4608359,0.00014534128,0.000030846455,0.000034494355,0.0027057629,0.0032665255,0.00015377734,0.031111341,0.4985716,0.0006582285],"about_ca_topic_score_codex":0.000045861172,"about_ca_topic_score_gemma":0.00006232902,"teacher_disagreement_score":0.44521666,"about_ca_system_score_codex":0.000110228495,"about_ca_system_score_gemma":0.000070562994,"threshold_uncertainty_score":0.721618},"labels":[],"label_agreement":null},{"id":"W3124749389","doi":"10.1111/ajfs.12178","title":"Do Derivative Markets Contain Useful Information for Signaling “Hot Money” Flows?","year":2017,"lang":"en","type":"preprint","venue":"Asia-Pacific Journal of Financial Studies","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Hong Kong Institute for Monetary Research","keywords":"Monetary economics; Convertibility; Renminbi; Exchange rate; Economics; Monetary policy; Liberian dollar; Aggregate demand; Business; Finance; Currency","score_opus":0.1108009625159477,"score_gpt":0.28405916820153965,"score_spread":0.17325820568559194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124749389","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":[0.9238962,0.03763181,0.011735517,0.0035279137,0.008683327,0.0016550755,0.002582778,0.000036855203,0.010250551],"genre_scores_gemma":[0.9908617,0.0045283507,0.002685975,0.0001567744,0.0013968304,0.00006602158,0.000038123224,0.000035388024,0.00023079461],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99647665,0.000043210766,0.002408929,0.0003807938,0.000094605915,0.0005958081],"domain_scores_gemma":[0.99330133,0.00029453202,0.0054306495,0.00052108197,0.00029769624,0.00015473634],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0026285178,0.0005195049,0.001956036,0.0006113995,0.00056561705,0.00038848672,0.00073604786,0.00041729378,0.00005592057],"category_scores_gemma":[0.0030518905,0.00054595195,0.0007438037,0.00007002533,0.00016635393,0.0012430734,0.00031295585,0.00077641144,0.00008319786],"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":[0.012086775,0.0010902333,0.09902554,0.006232784,0.018874092,0.00022915777,0.1450208,0.036800068,0.00010128369,0.11000902,0.43234,0.13819025],"study_design_scores_gemma":[0.005768319,0.0011657702,0.09825824,0.0016435047,0.0003399065,0.00010030557,0.006174679,0.0028794252,0.00051731657,0.44225973,0.4384061,0.0024866937],"about_ca_topic_score_codex":0.000119936696,"about_ca_topic_score_gemma":0.000021520855,"teacher_disagreement_score":0.3322507,"about_ca_system_score_codex":0.00049935956,"about_ca_system_score_gemma":0.00018445666,"threshold_uncertainty_score":0.9996992},"labels":[],"label_agreement":null},{"id":"W3125801563","doi":"10.1111/ajfs.12208","title":"Finance and Corporate Innovation: A Survey","year":2018,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Financial Studies","topic":"Private Equity and Venture Capital","field":"Business, Management and Accounting","cited_by":287,"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":"Tsinghua University; National Natural Science Foundation of China","keywords":"Corporate finance; Quarter (Canadian coin); Financial innovation; Accounting; Finance; Business; Economics","score_opus":0.0780084547656885,"score_gpt":0.2738729505204324,"score_spread":0.1958644957547439,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125801563","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":[0.9901783,0.002667836,0.00023020255,0.0014148677,0.0017775327,0.0000799164,0.0000042816396,0.0000149873795,0.003632071],"genre_scores_gemma":[0.99588966,0.00041956728,0.00015796344,0.0004088076,0.0029269208,0.0000015149952,0.0000028000052,0.000009546215,0.00018323136],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.998952,0.00001583761,0.00047303946,0.00014031479,0.00021051342,0.00020829352],"domain_scores_gemma":[0.99734765,0.000051593783,0.00095646555,0.00009900321,0.0015378294,0.0000074533104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001152915,0.00014961143,0.000338147,0.00024487803,0.0003012149,0.00010982141,0.00017000391,0.00005730405,0.000013961932],"category_scores_gemma":[0.00123545,0.0001223492,0.00004459696,0.0009277544,0.0003323031,0.0008682289,0.00016190247,0.0001722716,0.00004451618],"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":[0.00090512674,0.00026130132,0.3312722,0.00024194243,0.00028204676,0.0002182135,0.0013268827,0.0000026253558,0.00077977916,0.25462726,0.33563575,0.07444688],"study_design_scores_gemma":[0.0008975549,0.00020390679,0.74019843,0.00018258214,0.00005204121,0.000041257703,0.0007288584,0.000013724566,0.00020664844,0.036994018,0.22018114,0.00029983858],"about_ca_topic_score_codex":0.000017323118,"about_ca_topic_score_gemma":0.00009043654,"teacher_disagreement_score":0.40892622,"about_ca_system_score_codex":0.000024311723,"about_ca_system_score_gemma":0.00005438946,"threshold_uncertainty_score":0.49892554},"labels":[],"label_agreement":null},{"id":"W3157809520","doi":"10.1111/ajfs.12330","title":"Non‐traditional Banking Activities and Bank Financial Reporting Quality","year":2021,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Financial Studies","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University; McMaster University","funders":"","keywords":"Proxy (statistics); Business; Loan; Quality (philosophy); Financial system; Affect (linguistics); Finance; Accounting","score_opus":0.07666259657231578,"score_gpt":0.28848988225975203,"score_spread":0.21182728568743625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157809520","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":[0.9733769,0.015912246,0.0016067569,0.0012214661,0.0017265453,0.00010738161,0.00006198241,0.00001750878,0.0059692115],"genre_scores_gemma":[0.9961305,0.0009487474,0.0018454569,0.0000673345,0.0007879662,0.0000064583837,0.0000043847185,0.000018494995,0.00019062987],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961634,0.000058954796,0.002754631,0.00044060865,0.0001964238,0.00038594852],"domain_scores_gemma":[0.9951204,0.00033344823,0.0037784902,0.0002526902,0.00043917092,0.000075784585],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003383502,0.00024506132,0.0010741478,0.00023482059,0.0005388824,0.00010772237,0.00016100674,0.00014157472,0.000075537755],"category_scores_gemma":[0.00734055,0.00026917591,0.0002968616,0.00045980295,0.00033295876,0.00053242804,0.000106757805,0.0004026194,0.000006308831],"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":[0.0000954553,0.00046008214,0.6323468,0.00029478248,0.00022932593,0.00020414976,0.009235611,0.00012167437,0.00034961884,0.3367388,0.0032894497,0.016634217],"study_design_scores_gemma":[0.0005255665,0.00011919959,0.8373601,0.00013257406,0.00002252171,0.00020924724,0.0015180893,0.000023990766,0.00048523903,0.15338244,0.005906697,0.00031432067],"about_ca_topic_score_codex":0.000023167659,"about_ca_topic_score_gemma":0.00005420683,"teacher_disagreement_score":0.20501328,"about_ca_system_score_codex":0.00025353563,"about_ca_system_score_gemma":0.0003267865,"threshold_uncertainty_score":0.99997604},"labels":[],"label_agreement":null},{"id":"W3206116313","doi":"10.1111/ajfs.12349","title":"How Do Structural Oil Price Shocks Affect China's Investor Sentiment? The Critical Role of OPEC Oil Supply Shocks*","year":2021,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Financial Studies","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","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":"University of Waterloo","funders":"","keywords":"Economics; Oil supply; Stock (firearms); Monetary economics; Variance decomposition of forecast errors; China; Demand shock; Oil price; Stock market; Aggregate demand; Supply shock; Econometrics; Autoregressive model; Structural vector autoregression; Monetary policy","score_opus":0.016603368551097154,"score_gpt":0.24401830161460664,"score_spread":0.2274149330635095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206116313","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":[0.9281682,0.047895357,0.0001197474,0.0071816803,0.001735058,0.00006479817,0.0002250539,0.00000946675,0.014600642],"genre_scores_gemma":[0.9933481,0.0033490397,0.0006380275,0.00005323269,0.00046281188,0.000007175519,0.000004108996,0.000022611785,0.0021148825],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99778575,0.00012002043,0.0010638261,0.0003748922,0.0001986795,0.00045683864],"domain_scores_gemma":[0.9979331,0.00029227903,0.00082128576,0.00040181857,0.00042410323,0.00012744726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013042832,0.00029989064,0.0010505648,0.0001536917,0.00036778324,0.00018779369,0.0004276232,0.00013552167,0.000117845135],"category_scores_gemma":[0.0024961235,0.00024113047,0.00045730782,0.00042058347,0.00037393984,0.00037290558,0.00023858061,0.00053286867,0.000004099832],"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":[0.00047568762,0.00053517096,0.72680455,0.0006750873,0.0013027105,0.0002104998,0.010338759,0.000032794735,0.0006944982,0.19455874,0.009882112,0.05448937],"study_design_scores_gemma":[0.0024317757,0.00074168114,0.7497889,0.00046578335,0.00023749504,0.0003758433,0.011905931,0.0020053592,0.0012025553,0.12513208,0.10454611,0.0011665103],"about_ca_topic_score_codex":0.000038838654,"about_ca_topic_score_gemma":0.0000630248,"teacher_disagreement_score":0.09466399,"about_ca_system_score_codex":0.00018617023,"about_ca_system_score_gemma":0.00016095897,"threshold_uncertainty_score":0.9833015},"labels":[],"label_agreement":null},{"id":"W3216022782","doi":"10.1111/ajfs.12358","title":"Value‐destroying Mergers: Evidence from Korean Business Groups*","year":2021,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Financial Studies","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Value (mathematics); Business; Mathematics; Statistics","score_opus":0.04416373687189655,"score_gpt":0.2525155908452055,"score_spread":0.2083518539733089,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216022782","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":[0.96114004,0.025593223,0.0016733614,0.0061426233,0.0036467628,0.00010848234,0.000012040504,0.0000388678,0.0016445774],"genre_scores_gemma":[0.98880243,0.004741295,0.0009017855,0.0004660443,0.0048000086,0.000005269453,0.0000045745724,0.000029354032,0.0002492268],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99782825,0.000028169927,0.0007860606,0.0003484981,0.00060450955,0.00040450538],"domain_scores_gemma":[0.99640304,0.0001692514,0.0013015906,0.00028182744,0.0018210947,0.000023179948],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005578346,0.0003095857,0.00072120345,0.00014687801,0.00035835197,0.00020599319,0.00037386746,0.00008738703,0.000049177383],"category_scores_gemma":[0.0025773465,0.0002726335,0.00024309223,0.0012858749,0.00016638266,0.002322107,0.00020584263,0.0003241385,0.00008959255],"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":[0.0008171412,0.0005778974,0.686556,0.00070132193,0.000741779,0.005281505,0.0019927924,0.00090543623,0.00827774,0.020580921,0.18668035,0.08688715],"study_design_scores_gemma":[0.0010452142,0.000044139644,0.89464587,0.0027217583,0.00035611397,0.000040873503,0.003055634,0.00003789044,0.00080995343,0.01436717,0.08228319,0.00059216697],"about_ca_topic_score_codex":0.00033703767,"about_ca_topic_score_gemma":0.00022973192,"teacher_disagreement_score":0.20808993,"about_ca_system_score_codex":0.00010629294,"about_ca_system_score_gemma":0.00024188061,"threshold_uncertainty_score":0.9999726},"labels":[],"label_agreement":null},{"id":"W4239449096","doi":"10.1111/ajfs.12143","title":"Issue Information","year":2017,"lang":"en","type":"paratext","venue":"Asia-Pacific Journal of Financial Studies","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Education, India; Virginia Commonwealth University; Santa Clara University; National Research Foundation of Korea; Konkuk University; Pepperdine University; Seoul National University; Yonsei University; Sogang University; National University of Singapore; National Research Foundation; York University","keywords":"Citation; Library science; Computer science; World Wide Web; Information retrieval","score_opus":0.024958271031889384,"score_gpt":0.25892977681324914,"score_spread":0.23397150578135975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239449096","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009666832,0.04275386,0.0006295454,0.0093135405,0.07907207,0.0007832368,0.00021753163,0.000049568833,0.8575138],"genre_scores_gemma":[0.39566138,0.07183989,0.00044063744,0.004550335,0.112672515,0.000074246396,0.00022843406,0.00021517913,0.41431737],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99776953,0.000009949859,0.0010388524,0.00018854356,0.0006021227,0.0003909887],"domain_scores_gemma":[0.9922822,0.000036987458,0.0056574345,0.00036978745,0.0016371851,0.000016386442],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00056055904,0.000444608,0.0010887731,0.0004002221,0.00058614434,0.00046230145,0.00075902947,0.00026806732,0.00029838723],"category_scores_gemma":[0.0009030601,0.0003713287,0.00034240063,0.00027497252,0.00018720092,0.004147363,0.00020958652,0.00065034104,0.011863218],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000102484075,0.000028754153,0.0006198097,0.0004251664,0.00010008124,0.000040141167,0.0001458459,0.000020597248,0.0000026140253,0.0004914574,0.96270996,0.03531309],"study_design_scores_gemma":[0.00060693844,0.000049727456,0.010867078,0.00096082233,0.00014283437,0.000014896544,0.00039980176,0.0000021430526,0.000012335814,0.0007059566,0.98585224,0.00038520433],"about_ca_topic_score_codex":0.00012503838,"about_ca_topic_score_gemma":0.00005647168,"teacher_disagreement_score":0.44319645,"about_ca_system_score_codex":0.00012318628,"about_ca_system_score_gemma":0.0002895436,"threshold_uncertainty_score":0.9998739},"labels":[],"label_agreement":null},{"id":"W4293221741","doi":"10.1111/ajfs.12363","title":"A Survey of Asian Family Business Research*","year":2022,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Financial Studies","topic":"Family Business Performance and Succession","field":"Business, Management and Accounting","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Danmarks Grundforskningsfond; National Research Foundation","keywords":"Family business; Survey research; Business; Business administration","score_opus":0.10062662007496138,"score_gpt":0.3185466656154558,"score_spread":0.21792004554049443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293221741","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":[0.97977924,0.006758264,0.000036974187,0.0014537852,0.002459691,0.00018622284,0.000013923717,0.000017999439,0.009293892],"genre_scores_gemma":[0.9979901,0.0007005655,0.000048683734,0.0001694572,0.00087338354,0.000014307964,0.000009742706,0.00002506228,0.0001687132],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971138,0.00011238115,0.0008668496,0.00021411074,0.0012498149,0.00044301728],"domain_scores_gemma":[0.9949751,0.00014702324,0.0008508998,0.00022969165,0.0037797433,0.000017575361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045230254,0.00020660099,0.0006677105,0.0009785194,0.0009896761,0.00008168562,0.00061632606,0.000054988825,0.000054514076],"category_scores_gemma":[0.0015937323,0.00016996272,0.00012783943,0.003608032,0.00028519245,0.0011248337,0.0006456624,0.00059086183,0.000022274287],"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":[0.001894488,0.0009307711,0.5842681,0.00088279013,0.00024763093,0.00035600635,0.0017756255,0.0005619053,0.001839283,0.0025972936,0.30008557,0.10456054],"study_design_scores_gemma":[0.00068383303,0.00009206446,0.91456586,0.00017102862,0.00003267615,0.000011343052,0.008780367,0.000030791565,0.000025292215,0.0011075517,0.07431028,0.00018890611],"about_ca_topic_score_codex":0.00083443173,"about_ca_topic_score_gemma":0.00019622932,"teacher_disagreement_score":0.3302978,"about_ca_system_score_codex":0.00011318491,"about_ca_system_score_gemma":0.00029775297,"threshold_uncertainty_score":0.76118886},"labels":[],"label_agreement":null},{"id":"W4306399406","doi":"10.1111/ajfs.12393","title":"Political Uncertainty and Corporate Social Responsibility in a Transition Economy","year":2022,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Financial Studies","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; McMaster University","funders":"","keywords":"Corporate social responsibility; Politics; Government (linguistics); Language change; Business; Turnover; China; Market economy; Political economy; Economics; Political science; Public relations; Law; Management","score_opus":0.04859947396475137,"score_gpt":0.2791228520175428,"score_spread":0.2305233780527914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306399406","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":[0.98868513,0.00039547967,0.000024223062,0.0064413096,0.00037135812,0.00022163984,0.0000065507693,0.000017896053,0.0038364287],"genre_scores_gemma":[0.99867195,0.000008149724,0.00004054028,0.0004299881,0.00077811355,0.000014826774,0.0000027904384,0.000013440925,0.000040195046],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99787027,0.00015129162,0.0009924826,0.00026525164,0.00032840527,0.0003923201],"domain_scores_gemma":[0.9979822,0.00019645394,0.0012272714,0.00009905973,0.00047062148,0.00002438726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036516995,0.00018111028,0.00058137096,0.00037484072,0.0006633671,0.000086671746,0.00013719499,0.000056553257,0.000025123885],"category_scores_gemma":[0.0018037816,0.00018305368,0.00016318729,0.0007182125,0.00028495566,0.0005912123,0.00020574249,0.00049811567,0.0000022999536],"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":[0.011192569,0.0012859899,0.37489986,0.0007580678,0.0003201459,0.002477955,0.013333788,0.00039730035,0.0015825023,0.530077,0.006745861,0.056928974],"study_design_scores_gemma":[0.0023705552,0.00024032219,0.24696277,0.00007113492,0.00012728343,0.0001325507,0.06555564,0.00019337914,0.000039616567,0.6623207,0.021425337,0.0005607486],"about_ca_topic_score_codex":0.00012117149,"about_ca_topic_score_gemma":0.00022511891,"teacher_disagreement_score":0.13224368,"about_ca_system_score_codex":0.00047438295,"about_ca_system_score_gemma":0.00035212332,"threshold_uncertainty_score":0.7464712},"labels":[],"label_agreement":null},{"id":"W4322506520","doi":"10.1111/ajfs.12415","title":"Chinese Capital Markets During the Past Three Decades: editor's note","year":2022,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Financial Studies","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Library science; Citation; China; History; Media studies; Political science; Sociology; Computer science; Law","score_opus":0.012940034223001842,"score_gpt":0.24210586817876006,"score_spread":0.22916583395575824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322506520","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":[0.94621414,0.03157777,0.00009410165,0.0038206433,0.012513221,0.00019230963,0.00025237194,0.00001757996,0.005317858],"genre_scores_gemma":[0.99014926,0.0015765683,0.000089462104,0.00014108908,0.0075191376,0.000026369158,0.0000015243019,0.000026346104,0.00047023842],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977843,0.00005335728,0.0011479717,0.00027308342,0.0002262248,0.00051506737],"domain_scores_gemma":[0.99820024,0.00014812427,0.0010983982,0.00029252257,0.00017278697,0.00008793198],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0012762595,0.00029400046,0.0008106221,0.00026103912,0.0013275652,0.000082295104,0.0006733293,0.00007406451,0.00010818125],"category_scores_gemma":[0.00064153067,0.00023109479,0.00044360157,0.00062328076,0.00020449932,0.00026782445,0.000384824,0.00066451536,0.000058265552],"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":[0.00069213205,0.00045355188,0.5672912,0.00013477204,0.00055905787,0.00025914976,0.022122676,0.0006381402,0.00006533443,0.064495124,0.3396671,0.0036217289],"study_design_scores_gemma":[0.00063668523,0.00024585926,0.59368855,0.00001980011,0.00002110301,0.00012691972,0.0030547124,0.0000070928736,0.000009178949,0.022551566,0.37934542,0.0002931105],"about_ca_topic_score_codex":0.00009713704,"about_ca_topic_score_gemma":0.00010466268,"teacher_disagreement_score":0.04393512,"about_ca_system_score_codex":0.00035077592,"about_ca_system_score_gemma":0.000074301126,"threshold_uncertainty_score":0.9999726},"labels":[],"label_agreement":null},{"id":"W4366688785","doi":"10.1111/ajfs.12422","title":"Weak Instruments, Degree of Risk Aversion and Equity Premium: Evidence from Singapore, South Korea and Taiwan","year":2023,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Economics; Risk aversion (psychology); Equity premium puzzle; Econometrics; Capital asset pricing model; Equity (law); Consumption (sociology); Risk premium; Instrumental variable; Financial economics; Expected utility hypothesis","score_opus":0.09257280926373264,"score_gpt":0.2692023382685199,"score_spread":0.1766295290047873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366688785","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":[0.9735425,0.021364847,0.000058313748,0.0004026114,0.0006744566,0.00012839962,0.00023367109,0.000014179362,0.0035810054],"genre_scores_gemma":[0.9650863,0.034028683,0.0005861549,0.000015197222,0.00017534908,0.0000029149464,0.000002888003,0.000013504465,0.00008904966],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982556,0.00004049719,0.00096231105,0.00031032207,0.00013014697,0.0003011121],"domain_scores_gemma":[0.99806017,0.00019561106,0.0013436865,0.0001724874,0.000137093,0.00009094894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012005643,0.0002215809,0.0007967004,0.00030037077,0.00027990647,0.00006369036,0.00019845052,0.000112934766,0.000014879939],"category_scores_gemma":[0.0016621748,0.0002046652,0.00012338892,0.00036193378,0.0004011601,0.00055838085,0.0002976967,0.00025557607,0.000012047639],"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":[0.00035505873,0.00007781785,0.9055291,0.00016554903,0.00026344,0.000025255664,0.010811516,0.000008161978,0.00015165577,0.026389124,0.006175397,0.05004793],"study_design_scores_gemma":[0.0007489511,0.00043283228,0.894236,0.00046268906,0.000058632755,0.000006709791,0.0060941777,0.000037101687,0.00019126876,0.09422011,0.0032707585,0.00024072651],"about_ca_topic_score_codex":0.00022371509,"about_ca_topic_score_gemma":0.00005086117,"teacher_disagreement_score":0.06783099,"about_ca_system_score_codex":0.00007766508,"about_ca_system_score_gemma":0.000070724374,"threshold_uncertainty_score":0.83460045},"labels":[],"label_agreement":null},{"id":"W4391353491","doi":"10.1111/ajfs.12459","title":"Does Green Bond Issuance Enhance Market Return of Equity Shares in the Indian Stock Market?*","year":2024,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Financial Studies","topic":"Sustainable Finance and Green Bonds","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":"University of Waterloo; Environment and Climate Change Canada","funders":"Indian Council of Social Science Research","keywords":"Equity (law); Business; Financial system; Bond; Stock market; Monetary economics; Bond market; Financial economics; Finance; Economics","score_opus":0.029980499096112632,"score_gpt":0.2860656065881705,"score_spread":0.2560851074920579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391353491","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":[0.6802764,0.23272562,0.0002078614,0.018196337,0.004177413,0.00083452737,0.0005552793,0.00003832917,0.06298824],"genre_scores_gemma":[0.98430073,0.00814125,0.00019112797,0.00012169161,0.00056383223,0.000027599826,0.0000015671683,0.00002675007,0.0066254763],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972548,0.00006613931,0.0014999602,0.00040471228,0.00021060713,0.0005638028],"domain_scores_gemma":[0.9981369,0.00032845503,0.0008821461,0.00037994207,0.00021450767,0.000058074835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032052288,0.00030374128,0.0009924655,0.0005579287,0.00017688071,0.00010235507,0.00074959,0.00016045925,0.00016601579],"category_scores_gemma":[0.0009761023,0.00019963703,0.0003316337,0.0011007538,0.000284446,0.0006204916,0.00019422213,0.0006442511,0.000018409462],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009579135,0.00052984175,0.26143387,0.0028926425,0.0007172421,0.002225556,0.05466644,0.000010535378,0.000051883017,0.059573956,0.49781132,0.119128816],"study_design_scores_gemma":[0.00081618386,0.0008084963,0.3629731,0.0013294102,0.00006043252,0.000105737956,0.019440629,0.00005887604,0.00029170676,0.1765734,0.43683296,0.00070904894],"about_ca_topic_score_codex":0.00016816451,"about_ca_topic_score_gemma":0.00043825302,"teacher_disagreement_score":0.3040243,"about_ca_system_score_codex":0.00024216,"about_ca_system_score_gemma":0.00018380214,"threshold_uncertainty_score":0.81409615},"labels":[],"label_agreement":null},{"id":"W4401683187","doi":"10.1111/ajfs.12493","title":"Canadian Bank Capital and Liquidity Creation*","year":2024,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Financial Studies","topic":"Banking stability, regulation, efficiency","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":true,"ca_institutions":"Concordia University; Trent University","funders":"Social Sciences and Humanities Research Council of Canada; Banco Bilbao Vizcaya Argentaria; Concordia University","keywords":"Market liquidity; Financial system; Business; Capital (architecture); Economics; Monetary economics; Finance; Geography","score_opus":0.0214296853029973,"score_gpt":0.2429286024451798,"score_spread":0.2214989171421825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401683187","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":[0.90028834,0.087334275,0.00031091706,0.0036773842,0.0019091306,0.00011341458,0.000076247656,0.000019019835,0.006271281],"genre_scores_gemma":[0.996491,0.002264532,0.00030858518,0.000026784499,0.0004329947,0.0000034711466,0.0000016261824,0.000014630664,0.00045637644],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99864495,0.000020085423,0.00072602567,0.00025603367,0.00007208364,0.0002808202],"domain_scores_gemma":[0.99920833,0.00011897507,0.00024311803,0.00013718556,0.00017582173,0.000116554875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010470529,0.00015242404,0.0004329358,0.00044365952,0.00026127536,0.000121025725,0.00013548991,0.00009058303,0.00006127162],"category_scores_gemma":[0.0007602095,0.00015239105,0.0001254517,0.00035938708,0.00019145607,0.000341402,0.000033479726,0.00018958843,0.000040513398],"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":[0.000043092623,0.00013752938,0.33174935,0.0002799821,0.00038784568,0.00015995988,0.029966706,0.00012694274,0.000020657448,0.57855237,0.02751088,0.031064676],"study_design_scores_gemma":[0.00040334437,0.0004005479,0.6504369,0.00019919386,0.000049228984,0.00016113294,0.0023118688,0.00020999457,0.00005075337,0.16727483,0.17803279,0.00046946388],"about_ca_topic_score_codex":0.0023413803,"about_ca_topic_score_gemma":0.010125754,"teacher_disagreement_score":0.41127753,"about_ca_system_score_codex":0.00047660942,"about_ca_system_score_gemma":0.0002635248,"threshold_uncertainty_score":0.62143266},"labels":[],"label_agreement":null},{"id":"W4406842152","doi":"10.1111/ajfs.12503","title":"Big Data and Machine <i>Learning</i> in <scp>ESG</scp> Research*","year":2025,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Financial Studies","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Big data; Computer science; Data mining","score_opus":0.19547069563201358,"score_gpt":0.3576096340154835,"score_spread":0.16213893838346993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406842152","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":[0.74678874,0.15045343,0.00260342,0.020468479,0.009057327,0.0008070253,0.000058473703,0.00011963371,0.069643445],"genre_scores_gemma":[0.9877093,0.009037666,0.0000891043,0.00028448008,0.0016144104,0.000004230702,0.0000132932455,0.000014560252,0.0012329574],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982159,0.000048802627,0.0005871644,0.00032142748,0.00041339485,0.00041330451],"domain_scores_gemma":[0.99814516,0.0004610062,0.00032873047,0.00032725208,0.0007217491,0.00001612449],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0022554426,0.00019295877,0.00046571853,0.0008349437,0.00039216693,0.00023512355,0.00077851204,0.00008754512,0.0000039293127],"category_scores_gemma":[0.00849069,0.00015460145,0.000046168374,0.0016415108,0.00034125854,0.001067403,0.0012717419,0.0007522257,0.000023410526],"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":[0.00011277339,0.00025789224,0.30465233,0.0005895098,0.00013565659,0.00036602354,0.00052810635,0.000014643539,0.00014258675,0.012028233,0.31480375,0.36636847],"study_design_scores_gemma":[0.00043619794,0.000030014557,0.047777157,0.0005301329,0.00004697658,0.00001935116,0.0035499008,0.00010874046,0.00006078206,0.007878764,0.93948305,0.0000789248],"about_ca_topic_score_codex":0.00016456944,"about_ca_topic_score_gemma":0.0005093303,"teacher_disagreement_score":0.6246793,"about_ca_system_score_codex":0.000041270385,"about_ca_system_score_gemma":0.00012202474,"threshold_uncertainty_score":0.99986124},"labels":[],"label_agreement":null}]}