{"meta":{"query_hash":"5d79a3e063e3","filters":{"venue":"Journal of Applied Finance and Banking"},"cohort_total":15,"direct_labels_cover":0,"predictions_cover":15,"exported":15,"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/5d79a3e063e3","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Applied+Finance+and+Banking"},"results":[{"id":"W2182758244","doi":"","title":"Board Size, CEO Duality, and the Value of Canadian Manufacturing Firms","year":2011,"lang":"en","type":"article","venue":"Journal of Applied Finance and Banking","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Chief executive officer; Business; Stock exchange; Value (mathematics); Sample (material); Enterprise value; Duality (order theory); Manufacturing; Accounting; Industrial organization; Marketing; Economics; Finance; Management","score_opus":0.01625082580126176,"score_gpt":0.18100731484789873,"score_spread":0.16475648904663698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2182758244","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993507,0.00040368555,0.00003901013,0.00023845199,0.00000667673,0.000009325308,0.00034959384,0.000001888798,0.005444363],"genre_scores_gemma":[0.999089,0.00012450686,0.00003088696,0.00001456279,0.0000038170742,0.0000016743415,0.00016531047,6.4853975e-7,0.0005696666],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990798,0.00007651681,0.000025261194,0.00006223573,0.00051984756,0.00023631497],"domain_scores_gemma":[0.9928595,0.00094509864,0.0026230817,0.00013416665,0.0019810926,0.0014571133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065018755,0.00018706862,0.00021822291,0.0017626407,0.0019057128,0.0016796156,0.00043246325,0.00026899838,0.0019529865],"category_scores_gemma":[0.007020785,0.00010145487,0.00018777288,0.002340924,0.000693316,0.00041558727,0.00060006924,0.0003884503,0.00010109783],"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":[0.00010871951,0.000060750852,0.9851457,0.000021113958,0.000031008676,0.00015420462,0.0009825062,0.0003113709,0.00036119795,0.0012632195,0.0012284052,0.010331949],"study_design_scores_gemma":[0.000003784599,0.000019490135,0.9966182,0.0000125237,0.000010635702,0.000038035207,0.0014363191,0.00024316742,0.00009469739,0.00013397794,0.0013811418,0.000008054967],"about_ca_topic_score_codex":0.9159906,"about_ca_topic_score_gemma":0.9608115,"teacher_disagreement_score":0.08400941,"about_ca_system_score_codex":0.019235104,"about_ca_system_score_gemma":0.012019196,"threshold_uncertainty_score":0.16900826},"labels":[],"label_agreement":null},{"id":"W2182944119","doi":"","title":"Analyzing Integration between Stock Market of Turkey and G8 Nations with Maki Cointegration Test","year":2013,"lang":"en","type":"article","venue":"Journal of Applied Finance and Banking","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":5,"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":"Cointegration; Stock (firearms); Stock market; Economics; Unit root; Diversification (marketing strategy); Unit root test; Financial economics; Portfolio; Econometrics; Structural break; Monetary economics; Business; Geography","score_opus":0.013008210768464198,"score_gpt":0.20483217784752314,"score_spread":0.19182396707905894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2182944119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99510324,0.00023822476,0.0012337036,0.00008116622,0.000013190738,0.000012886281,0.00046044352,0.000016933625,0.0028402824],"genre_scores_gemma":[0.99848676,0.000064484346,0.00028871727,0.000007296551,0.000011541909,0.000009011885,0.0007685087,0.0000033241772,0.00036025047],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943453,0.00009257371,0.000062350584,0.00011566275,0.00016829377,0.00012657707],"domain_scores_gemma":[0.99830294,0.0005111556,0.000681598,0.00009562388,0.00027731134,0.00013143457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007360269,0.00035472302,0.00037363832,0.0021000907,0.00025995882,0.00096520025,0.0002072824,0.00031527967,0.0040215803],"category_scores_gemma":[0.0029713092,0.00009444045,0.00044504445,0.0019874005,0.00023281442,0.0008046278,0.0004960799,0.00039730684,0.00042768076],"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":[0.00016641108,0.0000632088,0.97569954,0.00003717342,0.00024895428,0.0006190025,0.0003150203,0.002106945,0.0009499095,0.001776103,0.00093457673,0.017083239],"study_design_scores_gemma":[0.000010666732,0.0001591481,0.98014474,0.000020079207,0.00010665476,0.0002710579,0.00062213757,0.015917504,0.00073161005,0.0008047013,0.0011954306,0.000016143145],"about_ca_topic_score_codex":0.0051128366,"about_ca_topic_score_gemma":0.003837391,"teacher_disagreement_score":0.0051128366,"about_ca_system_score_codex":0.00038300542,"about_ca_system_score_gemma":0.00035565282,"threshold_uncertainty_score":0.013453543},"labels":[],"label_agreement":null},{"id":"W2183844499","doi":"","title":"Listing Standards and IPO Performance: Is More Regulation Better?","year":2012,"lang":"en","type":"article","venue":"Journal of Applied Finance and Banking","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":"Acadia University","funders":"","keywords":"Listing (finance); Initial public offering; Business; Accounting; Sample (material); Monetary economics; Mechanism (biology); Economics; Finance; Chemistry","score_opus":0.011473272775809923,"score_gpt":0.21259550747176276,"score_spread":0.20112223469595283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2183844499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9595165,0.00292948,0.0014292764,0.02075027,0.000090180525,0.0000207874,0.0002239268,0.000035057386,0.015004588],"genre_scores_gemma":[0.99733895,0.0003314089,0.00016679964,0.001225912,0.00018015863,0.0000041685853,0.000111946174,0.0000071351974,0.000633402],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9935854,0.0022104394,0.00066492014,0.00079665496,0.0018855393,0.000857062],"domain_scores_gemma":[0.89249104,0.02080789,0.07432926,0.004436972,0.0039789737,0.0039558294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0071949256,0.00019183858,0.00054780813,0.0013502203,0.000727748,0.0055463044,0.000706616,0.003067958,0.008484962],"category_scores_gemma":[0.029334746,0.00018686503,0.00054904126,0.0023404073,0.003348136,0.004292243,0.001074988,0.0018768662,0.0004973519],"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":[0.00024272178,0.0004905732,0.93471915,0.00013525771,0.00017604361,0.00016738406,0.0015198322,0.00075857725,0.0012779536,0.008667207,0.0016837333,0.05016156],"study_design_scores_gemma":[0.00002972639,0.00022431501,0.98953235,0.00010347999,0.00007304735,0.00011717793,0.001006444,0.0004455586,0.0005899203,0.004406216,0.0034398544,0.00003192195],"about_ca_topic_score_codex":0.0054884623,"about_ca_topic_score_gemma":0.0049076336,"teacher_disagreement_score":0.008484962,"about_ca_system_score_codex":0.0016462753,"about_ca_system_score_gemma":0.0016070114,"threshold_uncertainty_score":0.03805083},"labels":[],"label_agreement":null},{"id":"W2184743580","doi":"","title":"Factors that Influence Corporate Liquidity Holdings in Canada","year":2011,"lang":"en","type":"article","venue":"Journal of Applied Finance and Banking","topic":"Working Capital and Financial Performance","field":"Business, Management and Accounting","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Market liquidity; Business; Stock exchange; Liquidity risk; Liquidity crisis; Accounting liquidity; Working capital; Debt; Financial system; Monetary economics; Accounting; Finance; Economics","score_opus":0.0381274480858629,"score_gpt":0.17428305523726415,"score_spread":0.13615560715140124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2184743580","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996469,0.00053093006,0.00003914618,0.00038186062,0.0000044417416,0.000012614548,0.0005700846,0.000003950993,0.0019878943],"genre_scores_gemma":[0.9988165,0.00022563303,0.000058644066,0.000034404784,0.000002671806,0.0000037579891,0.0002610235,0.0000013518622,0.00059603096],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942076,0.00004512679,0.00002829683,0.000066576074,0.00020566827,0.00023360051],"domain_scores_gemma":[0.9970542,0.00039320916,0.0009100102,0.000053773234,0.0009748146,0.0006140792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050769583,0.000196279,0.00019728225,0.0014792462,0.0029171673,0.0014772578,0.0006165689,0.0003453702,0.002289001],"category_scores_gemma":[0.0032039862,0.000153764,0.00024807345,0.0031426596,0.0009256279,0.00037523088,0.00068854576,0.00046184793,0.000115532224],"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":[0.000098434255,0.00004150472,0.9850123,0.000029128454,0.000028559558,0.0002151021,0.002510921,0.00028602392,0.00043897066,0.00036970078,0.0009997459,0.009969601],"study_design_scores_gemma":[0.000003904519,0.000015050399,0.9955657,0.000021410175,0.000012801827,0.000041727555,0.00284318,0.00025434294,0.000100528654,0.00004780859,0.0010829382,0.000010440797],"about_ca_topic_score_codex":0.9941678,"about_ca_topic_score_gemma":0.9966648,"teacher_disagreement_score":0.026498327,"about_ca_system_score_codex":0.026498327,"about_ca_system_score_gemma":0.030830598,"threshold_uncertainty_score":0.19225973},"labels":[],"label_agreement":null},{"id":"W2184771233","doi":"","title":"The Impact of Board Size, CEO Duality, and Corporate Liquidity on the Profitability of Canadian Service Firms","year":2011,"lang":"en","type":"article","venue":"Journal of Applied Finance and Banking","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Profitability index; Business; Market liquidity; Stock exchange; Service (business); Accounting; Chief executive officer; Marketing; Finance; Economics; Management","score_opus":0.04893828705459791,"score_gpt":0.21910419745548235,"score_spread":0.17016591040088444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2184771233","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99796176,0.00020125204,0.000015909274,0.00015844598,0.0000026067357,0.000006019494,0.00012917907,0.0000012174698,0.001523633],"genre_scores_gemma":[0.9992887,0.0001351787,0.000030572584,0.000021011107,0.0000046917767,0.0000023595173,0.00013745893,6.0597824e-7,0.00037946386],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99881965,0.0001344266,0.00003923029,0.000073538766,0.0005469883,0.00038620774],"domain_scores_gemma":[0.9920236,0.0014361364,0.0027084884,0.00009285335,0.0018410757,0.0018979216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007345473,0.00019218224,0.0002119963,0.0013409364,0.0018924654,0.0015549681,0.00041704814,0.00034492914,0.0017692737],"category_scores_gemma":[0.006118801,0.000095607356,0.00016424307,0.0021011212,0.0008997516,0.000436909,0.0005687542,0.0004533058,0.00013560713],"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":[0.00018268499,0.00009753843,0.987673,0.000017512612,0.000017909319,0.0001673715,0.00089714135,0.00020687401,0.0004221844,0.00034580458,0.00073950074,0.009232474],"study_design_scores_gemma":[0.0000032445994,0.00003668818,0.9978734,0.000006546918,0.000009356765,0.000029144305,0.0013432546,0.00013688645,0.00007803751,0.000038834012,0.00043867854,0.0000058198625],"about_ca_topic_score_codex":0.87250006,"about_ca_topic_score_gemma":0.9413795,"teacher_disagreement_score":0.12749994,"about_ca_system_score_codex":0.014441267,"about_ca_system_score_gemma":0.012974856,"threshold_uncertainty_score":0.25650156},"labels":[],"label_agreement":null},{"id":"W2186199258","doi":"","title":"Factors that Influence Financial Leverage of Canadian Firms","year":2011,"lang":"en","type":"article","venue":"Journal of Applied Finance and Banking","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Leverage (statistics); Business; Stock exchange; Profitability index; Subsidiary; Finance; Collateralized debt obligation; Financial system; Multinational corporation; Collateral","score_opus":0.0352369509062893,"score_gpt":0.18636488018306874,"score_spread":0.15112792927677943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2186199258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928311,0.00038579296,0.00004951679,0.00027328887,0.0000058654755,0.000018477114,0.00035854286,0.0000038453522,0.006073544],"genre_scores_gemma":[0.9990934,0.00014787694,0.000041743675,0.00002627298,0.000003439885,0.0000038318335,0.00015871842,9.980408e-7,0.0005237129],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99871457,0.00011447259,0.00004879373,0.00011873641,0.00063221355,0.00037126296],"domain_scores_gemma":[0.9946708,0.00064036035,0.0018283866,0.00014944896,0.0016149194,0.0010959386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008940762,0.0002547899,0.00026152123,0.0016722439,0.0023752293,0.0017375074,0.00039781505,0.00034401554,0.0023218864],"category_scores_gemma":[0.008278944,0.00012043769,0.00024506485,0.0029635064,0.00076939707,0.0004751379,0.0007798865,0.0004218901,0.00011857227],"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":[0.00009290151,0.000048797217,0.9821878,0.000020849711,0.000036932914,0.00017816458,0.002281196,0.00020316087,0.00048774955,0.00065585325,0.0010974271,0.012709096],"study_design_scores_gemma":[0.0000024648834,0.00001512801,0.9972851,0.00001057101,0.000007929025,0.000029212806,0.0013350653,0.00012525862,0.0000531544,0.000048592105,0.0010781885,0.000009215127],"about_ca_topic_score_codex":0.9626766,"about_ca_topic_score_gemma":0.9809762,"teacher_disagreement_score":0.037323415,"about_ca_system_score_codex":0.016787434,"about_ca_system_score_gemma":0.017232412,"threshold_uncertainty_score":0.12180191},"labels":[],"label_agreement":null},{"id":"W2186253313","doi":"","title":"An Empirical Analysis of the Bond Market Behavior and Cointegration in the Selected APEC's Countries","year":2012,"lang":"en","type":"article","venue":"Journal of Applied Finance and Banking","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"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":"Treasury; Cointegration; Granger causality; Bond; Economics; Monetary economics; Bond market; Error correction model; Financial economics; Econometrics; Finance; Geography","score_opus":0.03267202319029898,"score_gpt":0.25066052242937753,"score_spread":0.21798849923907854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2186253313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977703,0.00010613582,0.00027840957,0.000030421592,0.0000020610885,0.0000073537103,0.0005734826,0.0000070053657,0.0012248391],"genre_scores_gemma":[0.99754035,0.00017950877,0.00028691383,0.0000063523507,0.000004338446,0.000010447807,0.0015460235,0.0000036377767,0.0004224697],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996644,0.00011403901,0.000035906014,0.00006279978,0.000072819494,0.000050068393],"domain_scores_gemma":[0.995061,0.0017119042,0.0015670344,0.00032839747,0.001103027,0.00022870654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081315264,0.00021045782,0.0002766354,0.0017660889,0.0003963282,0.0010062874,0.0002165453,0.00029839596,0.0015913971],"category_scores_gemma":[0.0056471596,0.00014922374,0.00024468265,0.004103254,0.0002650996,0.00069968385,0.00040393855,0.00060899317,0.0003018648],"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":[0.00010603314,0.000071214316,0.97474253,0.000038076854,0.0001105764,0.00048775433,0.00041549222,0.0037410245,0.00059682736,0.0012964824,0.0006845028,0.017709436],"study_design_scores_gemma":[0.000005909032,0.000059988382,0.9919527,0.000011381444,0.000018789828,0.00026283436,0.0006630516,0.004892665,0.0003580832,0.0002544324,0.001512529,0.000007584135],"about_ca_topic_score_codex":0.01036684,"about_ca_topic_score_gemma":0.007040429,"teacher_disagreement_score":0.01036684,"about_ca_system_score_codex":0.0003765831,"about_ca_system_score_gemma":0.0003209154,"threshold_uncertainty_score":0.020612955},"labels":[],"label_agreement":null},{"id":"W2186462187","doi":"","title":"Factors that Affect Potential Growth of Canadian Firms","year":2011,"lang":"en","type":"article","venue":"Journal of Applied Finance and Banking","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Stock exchange; Affect (linguistics); Leverage (statistics); Market liquidity; Business; Cash flow; Sample (material); Monetary economics; Finance; Demographic economics; Economics","score_opus":0.05627598081609543,"score_gpt":0.1950534018430107,"score_spread":0.13877742102691526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2186462187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9883357,0.0005200184,0.00010010849,0.00058117294,0.0000066381654,0.000021298354,0.0009155777,0.000008440402,0.009511051],"genre_scores_gemma":[0.9984578,0.00023789008,0.00008737002,0.000019359195,0.000004129211,0.000004173922,0.00036494955,0.0000015966859,0.00082275673],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993094,0.00005549288,0.000024270641,0.00006604829,0.0003245447,0.00022027269],"domain_scores_gemma":[0.9943479,0.0007963989,0.0013312893,0.00014424606,0.0022822847,0.0010979164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069911,0.00026004208,0.00018673626,0.0018598514,0.0022285192,0.0020719336,0.00045395314,0.0003842265,0.0020940397],"category_scores_gemma":[0.006265349,0.000085746964,0.00024202828,0.0029799913,0.000714841,0.00070854934,0.0008284612,0.0005891165,0.00016281728],"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":[0.0001219505,0.000056436547,0.9768946,0.000026004385,0.000017485045,0.0001717344,0.001751421,0.00079732714,0.0005865734,0.0015192445,0.0012786685,0.016778579],"study_design_scores_gemma":[0.000002350161,0.000019942336,0.9948137,0.0000124916805,0.00000746708,0.000041453823,0.0022191217,0.0005721326,0.00014664372,0.00020570126,0.0019469982,0.000012133429],"about_ca_topic_score_codex":0.93814737,"about_ca_topic_score_gemma":0.95873934,"teacher_disagreement_score":0.061852634,"about_ca_system_score_codex":0.016741885,"about_ca_system_score_gemma":0.017755125,"threshold_uncertainty_score":0.124433756},"labels":[],"label_agreement":null},{"id":"W2186774769","doi":"","title":"Accounting Conservatism, Market Liquidity and Informativeness of Asset Price: Implications on Mark to Market Accounting","year":2013,"lang":"en","type":"article","venue":"Journal of Applied Finance and Banking","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Market liquidity; Conservatism; Asset (computer security); Economics; Market impact; Financial economics; Monetary economics; Business; Market microstructure; Finance; Order (exchange)","score_opus":0.007931511765539157,"score_gpt":0.20953786038895023,"score_spread":0.20160634862341106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2186774769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91404575,0.0013623975,0.059650965,0.0044716857,0.000042535492,0.000030466776,0.00008260478,0.000076375305,0.020237233],"genre_scores_gemma":[0.9984219,0.0001261055,0.0009653217,0.00005826392,0.000037853697,0.0000036598321,0.000008055752,0.0000030358383,0.00037588464],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9979625,0.0008261623,0.00014394632,0.000259383,0.00058744074,0.00022063278],"domain_scores_gemma":[0.93146,0.04152945,0.02091386,0.00361956,0.0017351408,0.00074197614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046682414,0.00034354604,0.00064773834,0.00090769026,0.00051482726,0.002560329,0.0006049005,0.0008712685,0.0035012471],"category_scores_gemma":[0.045473654,0.0002448105,0.00038778782,0.0008237377,0.0034941481,0.0055055027,0.0015551723,0.001454121,0.00014366355],"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":[0.0007832351,0.0003152486,0.07861616,0.00028459783,0.0001719432,0.0014529149,0.002082932,0.10096898,0.0070898407,0.74690694,0.0009459176,0.06038126],"study_design_scores_gemma":[0.000067771834,0.00024110984,0.04734162,0.000084972824,0.00009653296,0.0004673002,0.0006921771,0.16896816,0.0028800422,0.77778506,0.0012969314,0.0000783702],"about_ca_topic_score_codex":0.00084410975,"about_ca_topic_score_gemma":0.0004964307,"teacher_disagreement_score":0.0046682414,"about_ca_system_score_codex":0.00080329285,"about_ca_system_score_gemma":0.000683099,"threshold_uncertainty_score":0.024688303},"labels":[],"label_agreement":null},{"id":"W2360383777","doi":"","title":"Trapped in the Here and Now - New Insights into Financial Market Analyst Behavior","year":2015,"lang":"en","type":"article","venue":"Journal of Applied Finance and Banking","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":13,"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":"Herding; Herd behavior; Economics; Interest rate; Financial market; Econometrics; Financial economics; Normative; Finance; Geography; Political science","score_opus":0.04878205432480674,"score_gpt":0.2285819934652763,"score_spread":0.17979993914046954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2360383777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8592252,0.00836559,0.06754959,0.03288842,0.0004288078,0.00003438026,0.00073144044,0.00036578006,0.030410856],"genre_scores_gemma":[0.9903384,0.0012739312,0.0053243665,0.00115689,0.0002441694,0.000007972946,0.00012172007,0.00003844199,0.0014941607],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99869967,0.00055766077,0.000068463545,0.00028723138,0.00028804585,0.00009900679],"domain_scores_gemma":[0.9896772,0.0054332144,0.0027408476,0.0011789515,0.0006878078,0.00028187386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030644275,0.00025645422,0.00032655156,0.0014764154,0.0006441999,0.0032287303,0.00049462396,0.0010183147,0.0029329765],"category_scores_gemma":[0.017562406,0.00022913872,0.0002645479,0.0011348326,0.0018319313,0.00736901,0.0010028931,0.0012507144,0.00039736362],"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":[0.0008624834,0.00029024365,0.392363,0.00060059305,0.00040224424,0.0015295759,0.059377007,0.006366888,0.017428951,0.17334607,0.013609345,0.33382362],"study_design_scores_gemma":[0.0000624045,0.00050541834,0.41162023,0.00052001985,0.00021697322,0.0037921327,0.048415307,0.06879936,0.006853349,0.36538386,0.09352149,0.000309357],"about_ca_topic_score_codex":0.0016439735,"about_ca_topic_score_gemma":0.002981125,"teacher_disagreement_score":0.0032287303,"about_ca_system_score_codex":0.00062664313,"about_ca_system_score_gemma":0.0004704323,"threshold_uncertainty_score":0.016206443},"labels":[],"label_agreement":null},{"id":"W2396047105","doi":"","title":"How does Corporate Governance Affect Free Cash Flow","year":2016,"lang":"en","type":"article","venue":"Journal of Applied Finance and Banking","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":2,"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":"Free cash flow; Cash flow statement; Cash flow; Operating cash flow; Corporate governance; Cash management; Business; Cash flow forecasting; Monetary economics; Economics; Finance","score_opus":0.029472209808118287,"score_gpt":0.23979228803961247,"score_spread":0.21032007823149418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2396047105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919763,0.00021680104,0.0001740725,0.00062475,0.000008504486,0.000014658185,0.0001372675,0.000007233589,0.0068403254],"genre_scores_gemma":[0.99946755,0.000045225708,0.000028013264,0.000024483006,0.0000030933172,0.0000011943488,0.000037436588,0.0000012397015,0.00039190258],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99904734,0.00015831625,0.000039099006,0.0001035774,0.0002681681,0.00038344535],"domain_scores_gemma":[0.9848492,0.002952667,0.007410757,0.00061753095,0.0020513402,0.0021184138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013418468,0.00009626347,0.00020786388,0.00090088864,0.00070835615,0.0024191479,0.00028147775,0.00048378127,0.002172238],"category_scores_gemma":[0.0122648785,0.00010092753,0.0001915825,0.0010481112,0.0013865894,0.0010098086,0.0005214747,0.0004144619,0.00021226631],"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":[0.0001123452,0.00007693074,0.9818859,0.000016789018,0.000047610392,0.00008652155,0.0009733044,0.0010096253,0.0005528981,0.0031796142,0.0007553438,0.0113031175],"study_design_scores_gemma":[0.000005878033,0.0000280348,0.9965274,0.000012266655,0.000010691598,0.000019474755,0.00075014,0.000436113,0.00012829021,0.0008946576,0.0011765404,0.000010572118],"about_ca_topic_score_codex":0.22137566,"about_ca_topic_score_gemma":0.31706536,"teacher_disagreement_score":0.22137566,"about_ca_system_score_codex":0.0035388428,"about_ca_system_score_gemma":0.0026366662,"threshold_uncertainty_score":0.44017416},"labels":[],"label_agreement":null},{"id":"W2399745787","doi":"","title":"Do Crude Petroleum Imports Affect GDP of Turkey","year":2015,"lang":"en","type":"article","venue":"Journal of Applied Finance and Banking","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":0,"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":"Variance decomposition of forecast errors; Granger causality; Vector autoregression; Economics; Petroleum; Crude oil; Econometrics; Quarter (Canadian coin); Cointegration; Chemistry; Engineering; Geography; Petroleum engineering","score_opus":0.023462515869966394,"score_gpt":0.22555598442788416,"score_spread":0.20209346855791777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2399745787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941497,0.00045007715,0.00007872264,0.00033374946,0.00001889001,0.0000019092884,0.0014000596,0.000016273088,0.0035507057],"genre_scores_gemma":[0.99823654,0.00028774454,0.000033502478,0.00001626266,0.0000068695276,0.0000010073011,0.0010400561,0.0000042928427,0.0003736697],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998716,0.000014759064,0.000014297379,0.000032578115,0.000030225034,0.000036476227],"domain_scores_gemma":[0.99944526,0.00006843499,0.00028730306,0.000024947005,0.00013668406,0.00003741755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015114999,0.00022109933,0.00017594846,0.001031992,0.00014605408,0.00090166624,0.00014936153,0.00022195073,0.0020614904],"category_scores_gemma":[0.0011569242,0.00012389448,0.00031044206,0.001222249,0.0002409094,0.0005505917,0.00041367483,0.00032161127,0.00053172756],"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":[0.00024107534,0.00003347515,0.9687873,0.0000895968,0.00013541388,0.00075278344,0.0003954063,0.005450714,0.0008168371,0.0023648986,0.0027232422,0.018209206],"study_design_scores_gemma":[0.0000068075633,0.000035846544,0.99138933,0.00002734113,0.000039854094,0.00017508314,0.0008201871,0.002977813,0.00038824283,0.000425617,0.0037001795,0.000013680405],"about_ca_topic_score_codex":0.024413275,"about_ca_topic_score_gemma":0.014943,"teacher_disagreement_score":0.024413275,"about_ca_system_score_codex":0.00093160535,"about_ca_system_score_gemma":0.0004502454,"threshold_uncertainty_score":0.04854238},"labels":[],"label_agreement":null},{"id":"W2435843123","doi":"","title":"Icelandâ€™s Currency Options","year":2014,"lang":"en","type":"article","venue":"Journal of Applied Finance and Banking","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":0,"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; Inflation (cosmology); Interest rate; Convergence (economics); Cointegration; International Fisher effect; Currency union; Fisher hypothesis; Currency; Nominal interest rate; Monetary economics; Monetary policy; International economics; Real interest rate; European union; European monetary union; Macroeconomics; Econometrics","score_opus":0.015727596265687725,"score_gpt":0.21479653631760734,"score_spread":0.1990689400519196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2435843123","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15324152,0.006269465,0.08545847,0.0030800952,0.0007982198,0.00016709296,0.0027626653,0.00041801378,0.7478044],"genre_scores_gemma":[0.8431511,0.0029036766,0.02509546,0.00029433996,0.0001769245,0.00013305842,0.0016259205,0.000057795154,0.12656182],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99961084,0.00009777051,0.00003416745,0.0000697524,0.00014971542,0.000037827962],"domain_scores_gemma":[0.9994547,0.00014252156,0.00011168216,0.00009832352,0.00013277872,0.000060139737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007872866,0.000351984,0.00032977242,0.0007282246,0.00043021247,0.0031489132,0.00059596205,0.0005266754,0.0288963],"category_scores_gemma":[0.0030820742,0.00013625353,0.000312589,0.0015915342,0.00046105596,0.002384431,0.0007533747,0.00077373174,0.0045953747],"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":[0.0001686553,0.000040976043,0.0033898186,0.000102067264,0.000036334666,0.00028802807,0.00021352258,0.0065581254,0.0006587391,0.8352214,0.010567761,0.14275457],"study_design_scores_gemma":[0.00009150737,0.00016630604,0.0058132852,0.00018779155,0.000040802257,0.0009456275,0.0005338553,0.02306687,0.0017404432,0.55497485,0.4123745,0.00006415002],"about_ca_topic_score_codex":0.00079729536,"about_ca_topic_score_gemma":0.0007718965,"teacher_disagreement_score":0.0288963,"about_ca_system_score_codex":0.0004802913,"about_ca_system_score_gemma":0.00035455768,"threshold_uncertainty_score":0.09666777},"labels":[],"label_agreement":null},{"id":"W2460841759","doi":"","title":"Institutional Factors and Investors Sentiments for Dividends","year":2014,"lang":"en","type":"article","venue":"Journal of Applied Finance and Banking","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":2,"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":"Dividend; Corporate governance; Dividend policy; Principal–agent problem; Argument (complex analysis); Business; Agency (philosophy); Capital (architecture); Control (management); Capital market; Institutional investor; Agency cost; Monetary economics; Economics; Financial economics; Finance; Shareholder","score_opus":0.01722723050674303,"score_gpt":0.2045235420649637,"score_spread":0.18729631155822069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2460841759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99710447,0.00007264195,0.00013397762,0.00012793968,0.0000033413,0.000004296099,0.000030673033,0.0000028008812,0.0025199063],"genre_scores_gemma":[0.9996407,0.000034777648,0.00002788728,0.000013695617,0.0000058387277,7.6479125e-7,0.000026467735,6.2629863e-7,0.00024931488],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997074,0.00007878961,0.000024731844,0.000037908685,0.000075321506,0.000075775344],"domain_scores_gemma":[0.99217767,0.0018873803,0.0046069375,0.00023843537,0.00029199425,0.00079767243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008858222,0.000111677895,0.00019346537,0.00043283447,0.00025938122,0.001438388,0.00010970518,0.00036819087,0.0034200377],"category_scores_gemma":[0.005299242,0.000066207846,0.00021804529,0.00043115078,0.00048448227,0.00045314876,0.00041816998,0.00041323868,0.00022189721],"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":[0.00011360939,0.00009188269,0.9882586,0.000017812526,0.00009612222,0.00018544146,0.00037498775,0.000779589,0.0011438417,0.0020874438,0.00023962326,0.0066111204],"study_design_scores_gemma":[0.000006075839,0.000044243014,0.9969235,0.000008705172,0.000027787139,0.00005043578,0.0005551443,0.00075570424,0.0002995798,0.0008382964,0.0004840925,0.0000064540495],"about_ca_topic_score_codex":0.0031721806,"about_ca_topic_score_gemma":0.00432523,"teacher_disagreement_score":0.0034200377,"about_ca_system_score_codex":0.0006000607,"about_ca_system_score_gemma":0.00022618019,"threshold_uncertainty_score":0.011441112},"labels":[],"label_agreement":null},{"id":"W2790664660","doi":"","title":"An Algorithm Exploiting Episodes of Inefficient Asset Pricing to Derive a Macro-Foundation Scaled Metric for Systemic Risk: A Time-Series Martingale Representation","year":2018,"lang":"en","type":"article","venue":"Journal of Applied Finance and Banking","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"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":"Systemic risk; Economics; Financial crisis; Econometrics; Capital asset pricing model; Finance; Computer science; Financial economics","score_opus":0.016436369111328085,"score_gpt":0.24560360130005962,"score_spread":0.22916723218873153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790664660","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006682997,0.00005119094,0.99204165,0.00012761276,0.000018560015,0.000051615956,0.000056055203,0.00031439218,0.0006559602],"genre_scores_gemma":[0.19455293,0.00014971812,0.8023165,0.000121931655,0.00007755002,0.00037846118,0.0004516556,0.00015917254,0.001792141],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994855,0.00015332582,0.00004797358,0.00014429667,0.00011205966,0.000056694967],"domain_scores_gemma":[0.9977245,0.00148756,0.00021762187,0.00013965706,0.00035422493,0.00007647774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020654544,0.00091717194,0.001003871,0.0014623167,0.00044613905,0.0016301894,0.0010992314,0.0011600344,0.0031544184],"category_scores_gemma":[0.0073840576,0.00038023072,0.00082163047,0.0010929973,0.0006091656,0.0011872178,0.0015460764,0.0015798376,0.00067887205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008869599,0.000098179946,0.0037131628,0.00011222023,0.000099872814,0.00014161594,0.00015847578,0.6759797,0.0026556398,0.05157169,0.0044274423,0.2609534],"study_design_scores_gemma":[0.00000971476,0.000016586198,0.00015748452,0.0000063324183,0.0000055655973,0.000029549828,0.0000081826065,0.98846215,0.00031211332,0.0105523,0.00043358168,0.000006428889],"about_ca_topic_score_codex":0.003229427,"about_ca_topic_score_gemma":0.0023383943,"teacher_disagreement_score":0.003229427,"about_ca_system_score_codex":0.001096916,"about_ca_system_score_gemma":0.002082516,"threshold_uncertainty_score":0.010923266},"labels":[],"label_agreement":null}]}