{"meta":{"query_hash":"f789af2cf07d","filters":{"venue":"Journal of Financial Services Research"},"cohort_total":13,"direct_labels_cover":0,"predictions_cover":13,"exported":13,"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/f789af2cf07d","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Financial+Services+Research"},"results":[{"id":"W1486473313","doi":"10.1023/a:1024619628714","title":"Financial Turbulence and the Japanese Main Bank Relationship","year":2003,"lang":"en","type":"article","venue":"Journal of Financial Services Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Quarter (Canadian coin); Arbitrage; Economics; Financial economics; Finance; Sample (material); Business; Monetary economics","score_opus":0.037669991623037025,"score_gpt":0.2896949778193962,"score_spread":0.25202498619635916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1486473313","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":[0.98454404,0.00823379,0.00026504276,0.0011884698,0.00041680768,0.0002828058,0.000017360702,0.000006659571,0.005045043],"genre_scores_gemma":[0.9984108,0.00033158765,0.00047299956,0.00013147776,0.0002674927,0.0000091695865,9.2619e-7,0.00001467809,0.00036081835],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9976809,0.0002994752,0.000981927,0.00028781264,0.00029826426,0.00045161237],"domain_scores_gemma":[0.99779946,0.00082399306,0.0005456368,0.0003622069,0.00037641573,0.000092316805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01124926,0.00013833203,0.00041216201,0.00041787446,0.0005816375,0.0001829801,0.0005702833,0.00017688493,0.00014898046],"category_scores_gemma":[0.0031530047,0.000112611786,0.00013511258,0.001086519,0.0004484442,0.00043135733,0.000088483,0.0008217782,0.00005245541],"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":[0.00019583564,0.000117284195,0.15574813,0.00009931803,0.000009682045,0.000011105829,0.0066439435,0.00015776594,0.000006707382,0.8357615,0.00028494594,0.0009637677],"study_design_scores_gemma":[0.0013394485,0.000117778545,0.5947957,0.000053903303,0.0000052333935,0.000052925054,0.00023263639,0.0005450668,0.00001701254,0.3921864,0.010519403,0.00013446585],"about_ca_topic_score_codex":0.00024368192,"about_ca_topic_score_gemma":0.0001852248,"teacher_disagreement_score":0.4435751,"about_ca_system_score_codex":0.00016333286,"about_ca_system_score_gemma":0.0002247812,"threshold_uncertainty_score":0.45921752},"labels":[],"label_agreement":null},{"id":"W1979731272","doi":"10.1007/s10693-011-0125-8","title":"Canadian Investors and the Discount on Closed-End Funds","year":2012,"lang":"en","type":"article","venue":"Journal of Financial Services Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"HEC Montréal; Brock University","funders":"Brock University","keywords":"Proxy (statistics); Explanatory power; Capital asset pricing model; Business; Stock (firearms); Stochastic discount factor; Predictive power; Econometrics; Financial economics; Consumer confidence index; Economics; Marketing; Statistics","score_opus":0.050537123936724625,"score_gpt":0.28539350244228273,"score_spread":0.2348563785055581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979731272","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":[0.91805595,0.009470216,0.0000049180953,0.0042509395,0.0008642046,0.00020034295,0.000044112374,0.0000033949527,0.0671059],"genre_scores_gemma":[0.99532956,0.0015968885,0.000054402823,0.0014895988,0.0010109469,0.000008604294,0.0000017755993,0.000015481806,0.00049272575],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9983191,0.000097384116,0.00058249326,0.00015038671,0.00019573176,0.0006549262],"domain_scores_gemma":[0.99879706,0.0001939608,0.00031448677,0.0002121241,0.0001280616,0.0003543199],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045859893,0.00013596694,0.00037138874,0.0005510443,0.0004498711,0.00021105913,0.00044500598,0.00012040526,0.00019131284],"category_scores_gemma":[0.00019938055,0.00009664947,0.00010374236,0.00042251198,0.0002916785,0.00066157273,0.000071364506,0.00062925776,0.00011085746],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019509713,0.000059084316,0.051737674,0.000046117755,0.000020210839,0.000008053367,0.0027326064,0.000002591433,0.000004194454,0.9397552,0.0031299486,0.0023092248],"study_design_scores_gemma":[0.000942858,0.00029121223,0.5112469,0.00006680906,0.000005330902,0.00001416089,0.00050985406,0.000053683703,0.000020198939,0.11665037,0.37004218,0.00015642689],"about_ca_topic_score_codex":0.047128968,"about_ca_topic_score_gemma":0.020469287,"teacher_disagreement_score":0.8231048,"about_ca_system_score_codex":0.000283549,"about_ca_system_score_gemma":0.00025190867,"threshold_uncertainty_score":0.9974046},"labels":[],"label_agreement":null},{"id":"W2002411491","doi":"10.1007/s10693-015-0221-2","title":"Determining Hurdle Rate and Capital Allocation in Credit Portfolio Management","year":2015,"lang":"en","type":"article","venue":"Journal of Financial Services Research","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"TD Bank Group; Bank of Canada; McMaster University","funders":"","keywords":"Debt; Portfolio; Actuarial science; Capital allocation line; Business; Economics; Credit risk; Shareholder; Cost of capital; Profitability index; Econometrics; Finance; Microeconomics; Profit (economics)","score_opus":0.06876364080975121,"score_gpt":0.31696437855156173,"score_spread":0.2482007377418105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002411491","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":[0.99124086,0.001791845,0.00039063857,0.00026678588,0.00041438596,0.00014946467,0.000011480824,0.0000043179025,0.0057302015],"genre_scores_gemma":[0.9974308,0.0008347883,0.00081937306,0.000023543345,0.00049278693,0.000008698781,0.0000040546743,0.000012591713,0.00037338916],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99853015,0.000041776486,0.00073850964,0.00019822482,0.00016601005,0.0003253309],"domain_scores_gemma":[0.9990422,0.000054636963,0.00033961504,0.00015200675,0.00024305467,0.0001684959],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031380877,0.00009605444,0.00030041838,0.0008693991,0.0001012779,0.00010776934,0.00027138085,0.00009960738,0.000026739554],"category_scores_gemma":[0.00014209405,0.0001052852,0.000053030824,0.0006078952,0.000061011928,0.00051442307,0.00012464558,0.00032672533,0.00004832462],"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":[0.00041297128,0.00045431362,0.71270823,0.00024364059,0.00004924925,0.00054380804,0.013233521,0.00070696865,0.000105341074,0.19705512,0.002567696,0.07191914],"study_design_scores_gemma":[0.0010918578,0.00026088508,0.9253624,0.00008818648,0.000003807712,0.00002122709,0.0010452281,0.001328796,0.000037492016,0.04672532,0.023897478,0.00013729639],"about_ca_topic_score_codex":0.00034141177,"about_ca_topic_score_gemma":0.00039434695,"teacher_disagreement_score":0.21265419,"about_ca_system_score_codex":0.00017483816,"about_ca_system_score_gemma":0.00010063984,"threshold_uncertainty_score":0.4293406},"labels":[],"label_agreement":null},{"id":"W2011540428","doi":"10.1007/s10693-015-0215-0","title":"Typical and Tail Performance of Canadian Equity SRI Mutual Funds","year":2015,"lang":"en","type":"article","venue":"Journal of Financial Services Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"HEC Montréal; Concordia University; Brock University","funders":"","keywords":"Equity (law); Benchmarking; Luck; Selection bias; Business; Selection (genetic algorithm); Econometrics; Economics; Actuarial science; Accounting; Statistics; Mathematics; Computer science; Marketing; Political science","score_opus":0.15187623819992882,"score_gpt":0.32321345283999264,"score_spread":0.17133721464006382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011540428","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":[0.95024693,0.0030040676,0.0000042362913,0.000426414,0.0003245396,0.00009094779,0.0000399924,0.0000025959616,0.0458603],"genre_scores_gemma":[0.99751776,0.0014325518,0.00030044978,0.0001375946,0.00034352075,0.000002479654,0.0000021279495,0.000009265741,0.00025425522],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983739,0.00004183245,0.0007208569,0.00017199057,0.00021674356,0.00047467274],"domain_scores_gemma":[0.9985419,0.000052577034,0.0003467682,0.00016502419,0.00046841183,0.00042530545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030044008,0.000112132715,0.00041979193,0.0011349426,0.00014293856,0.00009527001,0.00045028157,0.00015388933,0.00009881785],"category_scores_gemma":[0.00021724097,0.00010857733,0.00006767124,0.00082339684,0.00019900258,0.00057126547,0.00015855161,0.0004485498,0.000053044816],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021756585,0.00029912873,0.4935792,0.00067840476,0.000066848435,0.00008744896,0.0076753846,0.000050019327,0.00012375289,0.46694165,0.009838947,0.01848355],"study_design_scores_gemma":[0.0011049758,0.0020827027,0.71845967,0.00014271453,0.000006016442,0.00003052664,0.00071320136,0.0006745508,0.0001992196,0.044583403,0.2317689,0.00023412533],"about_ca_topic_score_codex":0.01692299,"about_ca_topic_score_gemma":0.013943593,"teacher_disagreement_score":0.42235824,"about_ca_system_score_codex":0.00017634561,"about_ca_system_score_gemma":0.0006970275,"threshold_uncertainty_score":0.9896234},"labels":[],"label_agreement":null},{"id":"W2068231016","doi":"10.1007/s10693-013-0171-5","title":"Attitudinal Asymmetries and the Lender-Borrower Relationship: Survey Results on Farm Lending in Shandong, China","year":2013,"lang":"en","type":"article","venue":"Journal of Financial Services Research","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Northwest A and F University; China Agricultural University; National Science Foundation","keywords":"Loan; Outreach; Credit rationing; Microfinance; Business; Context (archaeology); China; Perception; Survey data collection; Field survey; Financial system; Finance; Economics; Interest rate; Economic growth","score_opus":0.08189709236397288,"score_gpt":0.32254382110625585,"score_spread":0.24064672874228296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068231016","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":[0.9806716,0.0056885765,0.00015720224,0.0024078577,0.00045997842,0.0004452812,0.000085066444,0.0000058553037,0.010078581],"genre_scores_gemma":[0.9962522,0.0022442215,0.00012734586,0.00015741892,0.0003122599,0.00001690664,0.000008841082,0.000019486875,0.00086135487],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99718463,0.00028961623,0.0013454345,0.00035824208,0.0002716663,0.00055041845],"domain_scores_gemma":[0.99763405,0.00088708464,0.00073472364,0.0003099867,0.00033248652,0.00010167558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010408211,0.00018906644,0.00062085513,0.0010452712,0.00057696237,0.00026213157,0.00061985885,0.00021818836,0.000057301902],"category_scores_gemma":[0.0018503423,0.00014725403,0.00012674558,0.0014120976,0.00025935617,0.0005059532,0.00027574823,0.0013011021,0.00015156514],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00265842,0.00026844745,0.80787086,0.000092665774,0.000022880105,0.0000347695,0.005441823,0.000065520966,0.00003767252,0.17145377,0.0015510728,0.010502098],"study_design_scores_gemma":[0.0031144435,0.00029454823,0.95620567,0.00015128101,0.0000022524214,0.000011352782,0.00017616877,0.0001923955,0.000060507373,0.03235663,0.0072768517,0.00015788867],"about_ca_topic_score_codex":0.0066907657,"about_ca_topic_score_gemma":0.0031137941,"teacher_disagreement_score":0.14833482,"about_ca_system_score_codex":0.0001982251,"about_ca_system_score_gemma":0.0001054817,"threshold_uncertainty_score":0.99992377},"labels":[],"label_agreement":null},{"id":"W2076675469","doi":"10.1007/s10693-005-5108-1","title":"Quarter-End Effects in Banks: Preferred Habitat or Window Dressing?","year":2006,"lang":"en","type":"article","venue":"Journal of Financial Services Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Balance sheet; Window (computing); Business; Finance; Economics; Geography; Computer science","score_opus":0.029595372285187837,"score_gpt":0.2985683554802195,"score_spread":0.26897298319503166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076675469","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":[0.9916176,0.0033685172,0.00041756112,0.00046420813,0.0005563942,0.0003394114,0.000018084105,0.00001160372,0.0032066242],"genre_scores_gemma":[0.998369,0.000049889975,0.0007410689,0.000045614204,0.0005575096,0.000011690148,0.0000039734687,0.000024549441,0.00019670167],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997117,0.00018419242,0.001320597,0.00036898942,0.00035121368,0.0006580152],"domain_scores_gemma":[0.9980917,0.00049089896,0.00062735035,0.00034731696,0.0003458354,0.000096879034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034339603,0.00017708902,0.0005884303,0.0011246384,0.00021184246,0.00023873166,0.0006982378,0.00021555209,0.00014442077],"category_scores_gemma":[0.00037209174,0.00016538835,0.00014759165,0.0014382851,0.00015136084,0.00068281253,0.00009860996,0.00070395815,0.00008238626],"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":[0.0005602407,0.001166533,0.9602198,0.00071354595,0.000018868157,0.00014701276,0.0025189775,0.0008820928,0.00047636495,0.022467736,0.00094922853,0.009879625],"study_design_scores_gemma":[0.001323457,0.00046609825,0.93108106,0.00024305083,0.0000027964782,0.000016984568,0.000087839115,0.0010799407,0.00023367279,0.061931856,0.0033561138,0.00017711612],"about_ca_topic_score_codex":0.001418428,"about_ca_topic_score_gemma":0.004942672,"teacher_disagreement_score":0.03946412,"about_ca_system_score_codex":0.0004088163,"about_ca_system_score_gemma":0.00025041864,"threshold_uncertainty_score":0.6744341},"labels":[],"label_agreement":null},{"id":"W2082007177","doi":"10.1007/s10693-013-0183-1","title":"New Warrant Issues Valuation with Leverage and Equity Model Errors","year":2013,"lang":"en","type":"article","venue":"Journal of Financial Services Research","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Warrant; Equity (law); Leverage (statistics); Valuation (finance); Economics; Debt; Leverage effect; Econometrics; Equity value; Financial economics; Actuarial science; Accounting; Finance; Computer science; External debt; Autoregressive conditional heteroskedasticity; Volatility (finance); Political science","score_opus":0.1169477523395833,"score_gpt":0.35661440775965847,"score_spread":0.23966665542007518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082007177","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":[0.96618354,0.0034177953,0.025105204,0.0023678765,0.00016363176,0.0002934884,0.000019945328,0.00000815738,0.0024403853],"genre_scores_gemma":[0.9894874,0.0014456465,0.007002211,0.000039580984,0.000551315,0.000008248302,0.000003210335,0.0000181567,0.0014442122],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99846065,0.000030151214,0.00062820455,0.00021942574,0.0002862479,0.00037533234],"domain_scores_gemma":[0.9986659,0.000056834313,0.0003801,0.0001932822,0.00048626176,0.0002175733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015154589,0.00012398833,0.00036872318,0.00044707546,0.00025877883,0.00020776858,0.00033813843,0.00012412587,0.00013928863],"category_scores_gemma":[0.000104915234,0.00010953703,0.00007192231,0.00046697693,0.00007146153,0.00091549923,0.00013299256,0.00040525562,0.00009989189],"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":[0.00070282316,0.0004943523,0.13505994,0.00036456218,0.00012924333,0.000050651204,0.024309454,0.013564071,0.0011030016,0.54027545,0.01329578,0.27065068],"study_design_scores_gemma":[0.0010360803,0.0005011981,0.5716302,0.00009905254,0.000008468725,0.000019250067,0.00026035044,0.0411809,0.00012579274,0.3692448,0.015669249,0.00022467737],"about_ca_topic_score_codex":0.002965551,"about_ca_topic_score_gemma":0.0005654449,"teacher_disagreement_score":0.43657023,"about_ca_system_score_codex":0.0001124512,"about_ca_system_score_gemma":0.00026396243,"threshold_uncertainty_score":0.4483046},"labels":[],"label_agreement":null},{"id":"W2126723900","doi":"10.1007/s10693-014-0211-9","title":"Transparency in the Mortgage Market","year":2015,"lang":"en","type":"article","venue":"Journal of Financial Services Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Transparency (behavior); Volatility (finance); Business; Real estate; Economics; Monetary economics; Finance","score_opus":0.11877102291293612,"score_gpt":0.3227214507426529,"score_spread":0.20395042782971678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126723900","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":[0.7558771,0.001393448,0.00008913815,0.0012287985,0.00046420135,0.00013377445,0.000012025972,0.0000035593775,0.24079798],"genre_scores_gemma":[0.9980143,0.0008200847,0.00022189147,0.00022448071,0.00047757954,0.0000048788497,0.0000013718794,0.000012982838,0.00022243205],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99829155,0.00013685963,0.000852792,0.00015760644,0.00016022238,0.0004009533],"domain_scores_gemma":[0.99902785,0.00015132345,0.00030419932,0.00024040046,0.00015409388,0.00012216327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010622019,0.00009411336,0.00034206067,0.0004939296,0.00009337197,0.00014626989,0.0009062645,0.000107244894,0.00018089403],"category_scores_gemma":[0.00020202348,0.00007947493,0.00010583634,0.0006100262,0.00005980426,0.0004209047,0.000048155813,0.00066724076,0.00013086648],"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":[0.0017845245,0.0013437809,0.74141794,0.000416047,0.000069837595,0.00084828906,0.06416143,0.00056767813,0.000026380498,0.09269381,0.048815276,0.047854967],"study_design_scores_gemma":[0.0023786668,0.0006550925,0.34852266,0.00012770298,0.0000059061404,0.00008205259,0.00354677,0.0023492533,0.000019152696,0.23530415,0.4066674,0.00034117312],"about_ca_topic_score_codex":0.00055285846,"about_ca_topic_score_gemma":0.00080970605,"teacher_disagreement_score":0.3928953,"about_ca_system_score_codex":0.00016075275,"about_ca_system_score_gemma":0.00014813145,"threshold_uncertainty_score":0.36814007},"labels":[],"label_agreement":null},{"id":"W2982358951","doi":"10.1007/s10693-019-00324-6","title":"The LOLR Policy and its Signaling Effect in a Time of Crisis","year":2019,"lang":"en","type":"article","venue":"Journal of Financial Services Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; University of Guelph","funders":"","keywords":"Lender of last resort; Moral hazard; Economics; Financial system; Monetary economics; Financial crisis; Government (linguistics); Pooling; Quality (philosophy); Monetary policy; Business; Macroeconomics; Incentive; Central bank; Market economy","score_opus":0.020098270791088717,"score_gpt":0.3046114363367794,"score_spread":0.28451316554569067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982358951","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":[0.9928378,0.0055091674,0.000008214971,0.0006220762,0.00008720961,0.0002217493,0.000009017367,0.0000019146682,0.0007028714],"genre_scores_gemma":[0.9993793,0.00027458332,0.000031864533,0.000030117639,0.00014976479,0.000002297508,3.28713e-7,0.000009880924,0.00012188632],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99839175,0.00013908204,0.0007527175,0.00016973513,0.00022392864,0.0003227976],"domain_scores_gemma":[0.9983358,0.0007179834,0.00043749734,0.00019109115,0.00026391918,0.000053740612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007474627,0.00008236279,0.0003688961,0.00062410184,0.00011418924,0.000088601104,0.00052139873,0.00009474713,0.00006080643],"category_scores_gemma":[0.00055558217,0.00006695137,0.000083413935,0.0009907304,0.000053788564,0.0002368338,0.00012990361,0.00035407644,0.0000652759],"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":[0.0005261437,0.00023928347,0.90942556,0.00071763346,0.000035967183,0.0000079364,0.0065499134,0.0007657405,0.0019677547,0.074180685,0.00008869516,0.005494668],"study_design_scores_gemma":[0.0010901357,0.0007969312,0.9427353,0.00019187825,0.0000031299724,0.000007171166,0.00013463253,0.004289343,0.0019540873,0.046516806,0.002140611,0.00013998742],"about_ca_topic_score_codex":0.00043837228,"about_ca_topic_score_gemma":0.00006556847,"teacher_disagreement_score":0.033309713,"about_ca_system_score_codex":0.00014666813,"about_ca_system_score_gemma":0.00012341666,"threshold_uncertainty_score":0.27301973},"labels":[],"label_agreement":null},{"id":"W3047553302","doi":"10.1007/s10693-020-00338-5","title":"Breaking the Word Bank: Measurement and Effects of Bank Level Uncertainty","year":2020,"lang":"en","type":"article","venue":"Journal of Financial Services Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Loan; Balance sheet; Market liquidity; Quarter (Canadian coin); Earnings; Business; Volatility (finance); Index (typography); Shareholder; Economics; Monetary economics; Finance; Computer science; Corporate governance","score_opus":0.08850943917395615,"score_gpt":0.2987042458762843,"score_spread":0.21019480670232815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047553302","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":[0.9872398,0.0076670866,0.0011547157,0.0028818827,0.00022814727,0.00029645732,0.00001661408,0.0000050140425,0.0005103254],"genre_scores_gemma":[0.9989592,0.0002541212,0.00025922668,0.00019180657,0.0003082932,0.0000040658947,4.6736767e-7,0.000012634254,0.000010216037],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980077,0.00014810055,0.0008282373,0.00023884472,0.00044701042,0.00033006287],"domain_scores_gemma":[0.99803,0.00035768832,0.0006024134,0.00022380556,0.00067782064,0.000108278655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005065101,0.00011622741,0.0004129137,0.00021547746,0.00023203962,0.00009157982,0.00060120464,0.00009187404,0.00004671723],"category_scores_gemma":[0.000966054,0.000094413226,0.000117063006,0.00080093206,0.00016044188,0.00022170952,0.00017061437,0.0004756301,0.000010361916],"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":[0.0015251349,0.00123287,0.49088562,0.0072944392,0.00040337932,0.000077608434,0.072335884,0.0044912454,0.0064400835,0.16597901,0.0019973796,0.24733736],"study_design_scores_gemma":[0.000932659,0.00047081604,0.96190876,0.00025956504,0.000011863371,0.000007946928,0.00023432903,0.0033588023,0.0007614107,0.021068754,0.010828576,0.0001565435],"about_ca_topic_score_codex":0.0005469213,"about_ca_topic_score_gemma":0.00024540938,"teacher_disagreement_score":0.47102314,"about_ca_system_score_codex":0.00016414953,"about_ca_system_score_gemma":0.00015875824,"threshold_uncertainty_score":0.38500595},"labels":[],"label_agreement":null},{"id":"W3086057126","doi":"10.1007/s10693-020-00337-6","title":"Basel Compliance and Financial Stability: Evidence from Islamic Banks","year":2020,"lang":"en","type":"article","venue":"Journal of Financial Services Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Université de Limoges; Université de Strasbourg; University of Nottingham","keywords":"Islam; Financial stability; Compliance (psychology); Financial services; Publication; Business; Accounting; Capital adequacy ratio; Capital (architecture); Financial system; Basel III; Islamic banking; Basel I; Capital requirement; Economics; Basel II; Finance; Psychology","score_opus":0.10123656138003212,"score_gpt":0.3219652242546868,"score_spread":0.2207286628746547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3086057126","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":[0.99026996,0.0029951648,0.00017506602,0.005548803,0.00032536924,0.000185819,0.000010407335,0.000019875179,0.00046950733],"genre_scores_gemma":[0.99171656,0.00061894517,0.00033719905,0.003255019,0.004028361,0.0000050035565,0.0000027599467,0.000017558918,0.000018613786],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9976471,0.000054744847,0.0005599663,0.00035079347,0.00090388866,0.00048351637],"domain_scores_gemma":[0.998017,0.00031152225,0.000373235,0.00018716906,0.0010953193,0.000015717545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013206578,0.0001957006,0.0004710753,0.00019509566,0.00044240183,0.00033137,0.0007026058,0.00011445373,0.000119902776],"category_scores_gemma":[0.0009695435,0.00016819694,0.000107460764,0.00093966455,0.00019606146,0.0017266767,0.000531564,0.0007947169,0.00011180811],"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":[0.004348605,0.0005878247,0.31068507,0.0066834944,0.00012858975,0.0008966745,0.017573444,0.00006595841,0.04169623,0.020690432,0.031265665,0.565378],"study_design_scores_gemma":[0.0013864808,0.0003113234,0.9251032,0.00267219,0.00007339742,0.000006201218,0.00052911474,0.003268453,0.0009471048,0.030053256,0.03515464,0.00049465196],"about_ca_topic_score_codex":0.0011495881,"about_ca_topic_score_gemma":0.0006986695,"teacher_disagreement_score":0.61441815,"about_ca_system_score_codex":0.000051967643,"about_ca_system_score_gemma":0.00016961842,"threshold_uncertainty_score":0.6858872},"labels":[],"label_agreement":null},{"id":"W3121909924","doi":"10.1007/s10693-018-0298-5","title":"Credit Value Adjustment with Market-implied Recovery","year":2018,"lang":"en","type":"article","venue":"Journal of Financial Services Research","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; HEC Montréal","funders":"Université Laval","keywords":"Credit risk; Credit valuation adjustment; Counterparty; Economics; Econometrics; Recovery rate; Position (finance); Time horizon; Actuarial science; Chemistry; Finance","score_opus":0.03708985156242129,"score_gpt":0.2954678258527716,"score_spread":0.2583779742903503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121909924","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":[0.9041595,0.0032750985,0.0034704383,0.0009335966,0.0021094736,0.00039054366,0.00012556193,0.000020122376,0.085515656],"genre_scores_gemma":[0.9874337,0.0010406803,0.0029630999,0.0001253401,0.0062478483,0.00001502163,0.000005942305,0.000041470066,0.0021269338],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9977703,0.000057747213,0.0009197896,0.00031307404,0.00034167754,0.0005973989],"domain_scores_gemma":[0.99782735,0.00015721931,0.0006405237,0.00037079433,0.00078345125,0.00022067597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002415818,0.00017031,0.00049943017,0.00076337915,0.00039080245,0.00013400103,0.0006286706,0.00017748526,0.0008050969],"category_scores_gemma":[0.00019001246,0.00015485405,0.00015868286,0.0010119582,0.00023098779,0.00053427776,0.0001312786,0.00055055943,0.00033456902],"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":[0.008102445,0.001776167,0.17003329,0.00047840705,0.00043086166,0.00029814997,0.007646202,0.00035341244,0.00045656165,0.49318877,0.1224883,0.19474743],"study_design_scores_gemma":[0.0010153803,0.0019710436,0.6409302,0.00013587906,0.00001057944,0.0000358656,0.00017101814,0.00039043959,0.0001552732,0.038690284,0.3162668,0.00022727366],"about_ca_topic_score_codex":0.00038442638,"about_ca_topic_score_gemma":0.00038319637,"teacher_disagreement_score":0.47089687,"about_ca_system_score_codex":0.00027564596,"about_ca_system_score_gemma":0.00030511487,"threshold_uncertainty_score":0.8815246},"labels":[],"label_agreement":null},{"id":"W4405692459","doi":"10.1007/s10693-024-00439-5","title":"Harnessing Soft Information to Promote Financial Inclusion: The Case of Business Lending by a Native CDFI","year":2024,"lang":"en","type":"article","venue":"Journal of Financial Services Research","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":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Financial inclusion; Financial services; Business; Inclusion (mineral); Finance; Financial system; Sociology","score_opus":0.028502415606641022,"score_gpt":0.31280334708867985,"score_spread":0.28430093148203883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405692459","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":[0.98231715,0.0037439326,0.009632708,0.0023604156,0.00075350865,0.0003850416,0.00012015297,0.000012916295,0.0006741708],"genre_scores_gemma":[0.99895746,0.00007754869,0.00043375703,0.000090528156,0.00035873847,0.000009824665,0.000004948253,0.0000143964435,0.000052773943],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99779737,0.00008927224,0.0012053592,0.00021564508,0.0003173463,0.00037502576],"domain_scores_gemma":[0.9977463,0.00026797966,0.00054189155,0.00023993013,0.0011189537,0.000084947045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058328183,0.00014019261,0.00036936605,0.00090789725,0.0007876016,0.00032806591,0.0006214352,0.0001393039,0.000072207644],"category_scores_gemma":[0.0011702334,0.00011608373,0.000115937924,0.0029146832,0.00012601673,0.0015258804,0.00056352536,0.0005768024,0.000035530375],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006533106,0.00068178354,0.0075158845,0.004131685,0.00010133694,0.0004949481,0.17950542,0.003951012,0.0014029101,0.1666627,0.005404249,0.6294948],"study_design_scores_gemma":[0.0022562393,0.0016106406,0.18723515,0.004048985,0.00005340141,0.0013829467,0.0031708095,0.073570736,0.0036213463,0.2606592,0.46113548,0.0012550837],"about_ca_topic_score_codex":0.0008057382,"about_ca_topic_score_gemma":0.00022235581,"teacher_disagreement_score":0.6282397,"about_ca_system_score_codex":0.00036387984,"about_ca_system_score_gemma":0.00045087468,"threshold_uncertainty_score":0.6057674},"labels":[],"label_agreement":null}]}