{"meta":{"query_hash":"5ec68deac5d4","filters":{"venue":"Quarterly Journal of Finance"},"cohort_total":31,"direct_labels_cover":0,"predictions_cover":31,"exported":31,"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/5ec68deac5d4","api":"https://metacan.xera.ac/api/v1/cohort?venue=Quarterly+Journal+of+Finance"},"results":[{"id":"W1680818071","doi":"10.1142/s2010139215500172","title":"Market Volatility and IPO Filing Activity","year":2015,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","topic":"Corporate Finance and 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":"TD Bank Group; Western University","funders":"","keywords":"Volatility (finance); Initial public offering; Issuer; Monetary economics; Business; Financial economics; Stock exchange; Economics; Commission; Stock market; Finance","score_opus":0.022180541814015364,"score_gpt":0.2186622743142613,"score_spread":0.19648173250024595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1680818071","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":[0.99472386,0.0004589847,0.0016259252,0.0007967278,0.00043217247,0.00005748402,0.0000036416577,0.0000114764525,0.0018897032],"genre_scores_gemma":[0.9984095,0.00002408798,0.0003130809,0.00020984872,0.0006976644,0.0000011279708,3.4250405e-7,0.00000952316,0.00033482615],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99913317,0.000011695812,0.0002863467,0.00014295983,0.00024534695,0.00018047719],"domain_scores_gemma":[0.99880695,0.000029708179,0.0007622789,0.00015210778,0.0002311954,0.000017771721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006512758,0.00012750049,0.00024833286,0.000074880176,0.00006313097,0.00011580444,0.00016719491,0.000047054233,0.000021147081],"category_scores_gemma":[0.00007668346,0.00011316871,0.00006187949,0.00022324109,0.000049461687,0.0020717408,0.00001887183,0.00019233521,0.000014854869],"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":[0.0013369952,0.00030130448,0.3052386,0.00023008775,0.000043377007,0.0002940801,0.00046866803,0.0000703486,0.00052872655,0.0021471435,0.12464702,0.5646936],"study_design_scores_gemma":[0.0013582988,0.00020140648,0.80344397,0.00016249754,0.000031037835,0.00004643823,0.00009823481,0.006939243,0.000032183994,0.006010246,0.18144242,0.00023404285],"about_ca_topic_score_codex":0.00014261546,"about_ca_topic_score_gemma":0.000060364506,"teacher_disagreement_score":0.5644596,"about_ca_system_score_codex":0.000027816506,"about_ca_system_score_gemma":0.000051006795,"threshold_uncertainty_score":0.4614886},"labels":[],"label_agreement":null},{"id":"W1963572997","doi":"10.1142/s2010139211000079","title":"Strategic Analysis of Risk-Shifting Incentives with Convertible Debt","year":2011,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"University of Guelph","keywords":"Convertible bond; Convertible; Asset (computer security); Debt; Shareholder; Business; Incentive; Finance; Economics; Monetary economics; Microeconomics; Corporate governance; Computer science","score_opus":0.027929318471758238,"score_gpt":0.21609095291446678,"score_spread":0.18816163444270856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963572997","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":[0.9820244,0.0016731437,0.013735601,0.00001802269,0.0001258988,0.000061989755,0.00003789722,0.000006734061,0.0023163417],"genre_scores_gemma":[0.99551463,0.00008648422,0.0043317964,0.0000068063864,0.000024810752,0.0000011720308,0.0000013668828,0.000011365001,0.000021591542],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99832827,0.000041583535,0.0010971425,0.0002296187,0.00008459135,0.00021879446],"domain_scores_gemma":[0.9968575,0.00008565228,0.0024975068,0.0003010368,0.00021686313,0.00004139541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009475113,0.00013522027,0.0006330317,0.0005599451,0.00007574658,0.00002862064,0.0003082897,0.00006171606,0.00016510174],"category_scores_gemma":[0.000046426052,0.00012663823,0.00021616647,0.0011527559,0.00015597745,0.00040320837,0.0000074410827,0.00017824485,0.0000099933195],"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":[0.00009581129,0.0002686661,0.898189,0.000022372154,0.00040458873,0.0000062136783,0.009062247,0.00069500523,0.000017689159,0.08855856,0.000004280406,0.002675549],"study_design_scores_gemma":[0.0005106311,0.0008109508,0.95634604,0.000043945565,0.00015071285,0.000006428879,0.0006004323,0.0039187027,0.00013447688,0.03727589,0.000033977078,0.000167804],"about_ca_topic_score_codex":0.00025629983,"about_ca_topic_score_gemma":0.00011530845,"teacher_disagreement_score":0.05815703,"about_ca_system_score_codex":0.000054251544,"about_ca_system_score_gemma":0.00005186682,"threshold_uncertainty_score":0.5164157},"labels":[],"label_agreement":null},{"id":"W1979578542","doi":"10.1142/s2010139215500111","title":"Financial Constraints, R&amp;D Investment, and the Value of Cash Holdings","year":2015,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; Mount Allison University; University of Toronto","funders":"","keywords":"Cash; Investment (military); Cash flow; Business; Value (mathematics); Finance; Monetary economics; Marginal value; Operating cash flow; Economics; Microeconomics; Mathematics","score_opus":0.021743527545171733,"score_gpt":0.2167015114520472,"score_spread":0.19495798390687546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979578542","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":[0.993543,0.0016330618,0.001000159,0.0015563867,0.0004993225,0.00012574247,0.000006601783,0.0000066147004,0.0016290892],"genre_scores_gemma":[0.99708134,0.000105574756,0.00047790998,0.0015348213,0.0006060808,0.0000027000692,7.639715e-7,0.000010632845,0.0001801996],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998814,0.000019260453,0.00053676404,0.00012850162,0.00031128366,0.0001901798],"domain_scores_gemma":[0.9979307,0.000053522683,0.0014421259,0.00017816565,0.0003812058,0.000014294776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009437019,0.00014826465,0.00037314277,0.0000904783,0.00007068025,0.000082772734,0.00028711435,0.000053436517,0.000009018832],"category_scores_gemma":[0.00021242569,0.000103492785,0.00010329679,0.0002973332,0.00047021298,0.00093354634,0.00002639181,0.00019776769,0.000019450219],"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":[0.0010517131,0.00016256224,0.03340631,0.00015690431,0.00004942548,0.00010677022,0.00168326,0.0001465195,0.00032815445,0.85838765,0.06836791,0.036152825],"study_design_scores_gemma":[0.017955635,0.0006102354,0.2617909,0.0009582991,0.00025132415,0.000401059,0.0007572061,0.0005954665,0.00013301936,0.261872,0.4539739,0.0007009716],"about_ca_topic_score_codex":0.00019039796,"about_ca_topic_score_gemma":0.00004268451,"teacher_disagreement_score":0.59651566,"about_ca_system_score_codex":0.00002043615,"about_ca_system_score_gemma":0.00013938062,"threshold_uncertainty_score":0.4220313},"labels":[],"label_agreement":null},{"id":"W1991043533","doi":"10.1142/s2010139211000055","title":"Stock and Option Proportions in Executive Compensation","year":2011,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Executive compensation; Incentive; Stock options; Stock (firearms); Restricted stock; Non-qualified stock option; Volatility (finance); Business; Empirical evidence; Econometrics; Economics; Financial economics; Microeconomics; Actuarial science; Finance; Stock market; Engineering","score_opus":0.029295270920132475,"score_gpt":0.2147294321555014,"score_spread":0.1854341612353689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991043533","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":[0.9952959,0.00011872043,0.002286968,0.00018023454,0.00016216954,0.00009963979,0.000004001377,0.0000063459042,0.0018460407],"genre_scores_gemma":[0.99893546,0.000029169036,0.00063568325,0.000107011394,0.00016464862,0.0000044098224,0.0000019150839,0.000006119515,0.00011555526],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99934506,0.0000057092548,0.00032398404,0.00009607074,0.00011693264,0.000112243346],"domain_scores_gemma":[0.99903625,0.000009072626,0.00071632967,0.000072336494,0.00016101488,0.000005004315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018131017,0.00007972024,0.0001473129,0.00013581067,0.00004524546,0.000034147775,0.00008734539,0.000031784224,0.000043445292],"category_scores_gemma":[0.000016929736,0.00007281266,0.00003202476,0.0002350506,0.00003670291,0.0014605547,0.0000066266853,0.0001193756,0.000019705047],"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":[0.00075846986,0.0007435192,0.60048395,0.00019697048,0.000032333573,0.00045060777,0.003924436,0.000095410214,0.00085477356,0.12606353,0.015200082,0.2511959],"study_design_scores_gemma":[0.000590365,0.00014859236,0.978394,0.00018657774,0.000011178789,0.000023696186,0.00018262904,0.00048675787,0.00001539756,0.011901099,0.007950626,0.000109137676],"about_ca_topic_score_codex":0.00014007537,"about_ca_topic_score_gemma":0.00014956036,"teacher_disagreement_score":0.37791,"about_ca_system_score_codex":0.000020227322,"about_ca_system_score_gemma":0.000023803912,"threshold_uncertainty_score":0.29692143},"labels":[],"label_agreement":null},{"id":"W1998182388","doi":"10.1142/s2010139215500160","title":"Uninformed Trading and Information Uncertainty in the Post-IPO Market","year":2015,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","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":"Concordia University","funders":"","keywords":"Initial public offering; Adverse selection; Market liquidity; Order (exchange); Business; Price discovery; Information asymmetry; Monetary economics; High-frequency trading; Market microstructure; Secondary market; Financial economics; Economics; Finance","score_opus":0.021559601675638907,"score_gpt":0.20867172949464147,"score_spread":0.18711212781900255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998182388","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":[0.9437519,0.0017736723,0.00027779903,0.003193331,0.00040963903,0.00014465416,0.000029192071,0.0000046466876,0.050415184],"genre_scores_gemma":[0.99871415,0.00023212268,0.00027492302,0.00064986554,0.000061707426,0.000003867946,0.0000025130846,0.0000038383264,0.00005700657],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989259,0.000024477227,0.0007362042,0.00007042053,0.00006553463,0.00017743756],"domain_scores_gemma":[0.9990932,0.000059013,0.0006124056,0.00011584028,0.00007719142,0.000042375526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014711367,0.00010125554,0.00025121745,0.0002153609,0.00004926313,0.00013192026,0.00021587603,0.000054047752,0.00001905807],"category_scores_gemma":[0.00012870223,0.00007935383,0.000052058254,0.00020894778,0.000063756845,0.0023352848,0.0000058192377,0.00018569913,0.000012058041],"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":[0.00042281792,0.00010777357,0.021296185,0.000068959765,0.000029817467,0.00003524372,0.029617593,0.00012041366,0.0000031490445,0.8597991,0.030198004,0.05830094],"study_design_scores_gemma":[0.0028160668,0.0028511316,0.43501693,0.00012926749,0.000007938572,0.00020059782,0.008642576,0.004858567,0.000002623442,0.14991358,0.39520204,0.0003586933],"about_ca_topic_score_codex":0.000104303865,"about_ca_topic_score_gemma":0.00002263209,"teacher_disagreement_score":0.70988554,"about_ca_system_score_codex":0.00006193949,"about_ca_system_score_gemma":0.000067258625,"threshold_uncertainty_score":0.32359552},"labels":[],"label_agreement":null},{"id":"W2090849221","doi":"10.1142/s201013921350002x","title":"Financial Distress Risk and the Hedging of Foreign Currency Exposure","year":2013,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","topic":"Risk Management in Financial Firms","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":"Université de Montréal; HEC Montréal","funders":"","keywords":"Financial distress; Currency; Foreign exchange risk; Business; Distress; Economics; Monetary economics; Financial system; Medicine","score_opus":0.005369369639581864,"score_gpt":0.18590441680641479,"score_spread":0.1805350471668329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090849221","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":[0.9899111,0.0019556754,0.004246955,0.00053864246,0.0005939969,0.00032482037,0.000004473861,0.000012060316,0.0024122777],"genre_scores_gemma":[0.998211,0.0003054621,0.0003731617,0.00013761288,0.0008615796,0.000013199619,0.0000013124376,0.000014997051,0.00008163946],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9985034,0.000030328294,0.00073077384,0.00015759104,0.00031969062,0.00025821125],"domain_scores_gemma":[0.9977429,0.00010024705,0.0015555611,0.00025257867,0.00033942214,0.000009326756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007251953,0.00018564817,0.0004117934,0.00017058373,0.00019167151,0.00019899786,0.0004823221,0.000056303015,0.000039960803],"category_scores_gemma":[0.00021519301,0.00012324983,0.00016787136,0.0003453356,0.0002345156,0.0016177568,0.00005721368,0.00029412308,0.00003230686],"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":[0.00022748654,0.00012840061,0.0953589,0.00026660512,0.000039111208,0.00002186257,0.00065262406,0.00008540405,0.00004512711,0.1977457,0.011605667,0.6938231],"study_design_scores_gemma":[0.005591821,0.00040636052,0.6098241,0.0006616629,0.00024978892,0.00002302843,0.0009549816,0.0024847323,0.000031146992,0.34787297,0.031399842,0.0004995284],"about_ca_topic_score_codex":0.00033678033,"about_ca_topic_score_gemma":0.000020709653,"teacher_disagreement_score":0.69332355,"about_ca_system_score_codex":0.000011787368,"about_ca_system_score_gemma":0.000019396815,"threshold_uncertainty_score":0.5025982},"labels":[],"label_agreement":null},{"id":"W2103852424","doi":"10.1142/s201013921550010x","title":"Asset Return Predictability in a Heterogeneous Agent Equilibrium Model","year":2015,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","topic":"Financial Markets and Investment Strategies","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 British Columbia","funders":"","keywords":"Predictability; Economics; Portfolio; Econometrics; General equilibrium theory; Consumption (sociology); Asset (computer security); Portfolio optimization; Simple (philosophy); Microeconomics; Computer science; Financial economics; Mathematics; Statistics","score_opus":0.05197903041761251,"score_gpt":0.2403870964044266,"score_spread":0.1884080659868141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103852424","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":[0.9863891,0.0043737562,0.0019155558,0.0006005752,0.00067500153,0.00014237226,0.00006446124,0.000010971837,0.005828231],"genre_scores_gemma":[0.9976817,0.00011868578,0.0016790838,0.00015152259,0.00012878413,0.0000076269266,0.0000022416336,0.000017314675,0.00021307926],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979791,0.00003808324,0.0012656609,0.0002670459,0.00010178227,0.00034833874],"domain_scores_gemma":[0.99860585,0.000026317333,0.00083051727,0.00030569884,0.0001058412,0.00012576964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013347706,0.00018352839,0.0005683284,0.00021788375,0.000026106132,0.00007693603,0.000355432,0.0001147874,0.000024858002],"category_scores_gemma":[0.00011026333,0.00018781103,0.00016582113,0.00021818257,0.00008403277,0.00071037275,0.00002092376,0.00027786483,0.000034391123],"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":[0.0027575425,0.003930445,0.46079513,0.0004475308,0.00028810103,0.0012386567,0.0255188,0.080035,0.0006606967,0.33848315,0.0629917,0.02285323],"study_design_scores_gemma":[0.00478849,0.0059488504,0.07507529,0.0002458485,0.00001775641,0.00024379398,0.0003969258,0.13815035,0.00018406614,0.74783975,0.02613818,0.00097068126],"about_ca_topic_score_codex":0.000061096696,"about_ca_topic_score_gemma":0.000033315446,"teacher_disagreement_score":0.40935662,"about_ca_system_score_codex":0.00022260442,"about_ca_system_score_gemma":0.00016440055,"threshold_uncertainty_score":0.76587117},"labels":[],"label_agreement":null},{"id":"W2155084140","doi":"10.1142/s2010139216400024","title":"Derivatives, Short Selling and US Equity and Bond Mutual Funds","year":2015,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada; Concordia University","keywords":"Bond; Equity (law); Business; Mutual fund; Fund of funds; Closed-end fund; Open-end fund; Global assets under management; Net asset value; Corporate bond; Finance; Bond market; Derivative (finance); Private equity fund; Monetary economics; Economics; Institutional investor; Private equity","score_opus":0.06382075323129456,"score_gpt":0.2589441777651906,"score_spread":0.19512342453389603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155084140","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":[0.9732583,0.012616794,0.001679178,0.0003283682,0.00033678845,0.00006662562,0.000019794474,0.0000066593134,0.011687483],"genre_scores_gemma":[0.9959372,0.0009936425,0.0025409954,0.00017596979,0.00016742124,0.0000019203405,9.3031184e-7,0.000012201625,0.00016966961],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99883395,0.000013738288,0.00064482837,0.00020202644,0.00006711951,0.00023834826],"domain_scores_gemma":[0.99923736,0.000036300728,0.00040774018,0.000119700104,0.00007468954,0.00012420406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008411871,0.00014982495,0.00042236876,0.0001341784,0.000082206025,0.00015225458,0.00015210011,0.00007701348,0.000008242078],"category_scores_gemma":[0.00005113988,0.00015051279,0.000052011044,0.00012124668,0.00014970364,0.0007455848,0.000038423743,0.00019026911,0.00000860066],"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":[0.0003073672,0.00020068372,0.25537637,0.00010785829,0.00010455373,0.00011381792,0.008103247,0.000036596954,0.00015571206,0.6528161,0.006402489,0.07627519],"study_design_scores_gemma":[0.002237803,0.0053016217,0.43255776,0.0001858654,0.000024773322,0.0003433302,0.0016059367,0.0013755708,0.0001389394,0.41370493,0.14176227,0.0007612121],"about_ca_topic_score_codex":0.0000365158,"about_ca_topic_score_gemma":0.000012523052,"teacher_disagreement_score":0.23911119,"about_ca_system_score_codex":0.000044588498,"about_ca_system_score_gemma":0.00005279986,"threshold_uncertainty_score":0.61377335},"labels":[],"label_agreement":null},{"id":"W2237803612","doi":"10.1142/s2010139214500013","title":"International Capital Flows and Bond Risk Premia","year":2014,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Treasury; Bond; Monetary economics; Excess return; Capital flows; Sample (material); Economics; Risk premium; Benchmark (surveying); Business; Econometrics; Finance; Microeconomics","score_opus":0.00877344085404971,"score_gpt":0.19108091874642236,"score_spread":0.18230747789237264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2237803612","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":[0.96564925,0.001783195,0.0027004948,0.0004694486,0.0011058418,0.000051706298,0.000038112466,0.000006570399,0.028195407],"genre_scores_gemma":[0.9951142,0.0008996071,0.0032576737,0.000090812835,0.00037278637,0.0000021528288,0.000001251764,0.0000109411885,0.0002505568],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99896604,0.000014474164,0.0006296907,0.00017041981,0.00005230163,0.00016710132],"domain_scores_gemma":[0.9989088,0.000044051485,0.00080441777,0.0001334328,0.00005768948,0.00005159868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057674054,0.000119463264,0.00030535276,0.00014309036,0.00007273317,0.00010314564,0.00021750072,0.00006457135,0.00006896759],"category_scores_gemma":[0.000088752764,0.00011885466,0.000093302864,0.00006698117,0.0000620442,0.000562493,0.000011919609,0.00019803415,0.000046178408],"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":[0.00012930209,0.00015403662,0.100991406,0.000033681823,0.00010034361,0.000019245928,0.0025460834,0.000057577166,0.0001082612,0.8014978,0.0081249215,0.08623734],"study_design_scores_gemma":[0.0014832559,0.0016920489,0.41406766,0.000074848096,0.000012317741,0.000085325526,0.00017149784,0.002615079,0.000040280538,0.27262357,0.30679372,0.00034037986],"about_ca_topic_score_codex":0.0000471737,"about_ca_topic_score_gemma":0.000011065552,"teacher_disagreement_score":0.5288742,"about_ca_system_score_codex":0.000033828877,"about_ca_system_score_gemma":0.000016223798,"threshold_uncertainty_score":0.48467523},"labels":[],"label_agreement":null},{"id":"W2295695672","doi":"10.1142/s2010139216500117","title":"How do Corporate Governance Decisions Affect Bondholders?","year":2016,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","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":"Concordia University","funders":"Pennsylvania State University","keywords":"Corporate governance; Expropriation; Agency cost; Information asymmetry; Shareholder; Debt; Business; Asset (computer security); Agency (philosophy); Principal–agent problem; Affect (linguistics); Monetary economics; Economics; Accounting; Finance; Market economy","score_opus":0.027052474186303917,"score_gpt":0.21136507524833006,"score_spread":0.18431260106202615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2295695672","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":[0.9696337,0.0012892701,0.018275384,0.008060066,0.001496699,0.00016666243,0.000025216088,0.000036171168,0.0010168185],"genre_scores_gemma":[0.99492943,0.00042706868,0.00048393212,0.0005357699,0.0014567908,0.0000058640444,5.0665506e-7,0.000035432982,0.0021252315],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9981195,0.000016148484,0.0005451332,0.00031047827,0.0005762368,0.00043252835],"domain_scores_gemma":[0.99568194,0.00014050338,0.0032104235,0.0004309654,0.00051020377,0.000025952357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048115634,0.00029029,0.00046711127,0.00013540123,0.00014489,0.00037840224,0.00065039913,0.00009396682,0.000054521635],"category_scores_gemma":[0.00023922302,0.00019345229,0.0002614806,0.0005999411,0.000119432625,0.0041087726,0.00003181446,0.00021357718,0.00026104794],"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":[0.00067378633,0.0003389842,0.081383124,0.000085662075,0.00007959624,0.0011809,0.000097950026,0.00003245772,0.010140251,0.09564385,0.18014438,0.6301991],"study_design_scores_gemma":[0.003744923,0.0005043111,0.5555196,0.0018356098,0.00007404403,0.00011617336,0.00007377787,0.00005285864,0.0003768709,0.026472073,0.41053712,0.0006926596],"about_ca_topic_score_codex":0.000017692653,"about_ca_topic_score_gemma":0.00003713428,"teacher_disagreement_score":0.6295064,"about_ca_system_score_codex":0.00007285189,"about_ca_system_score_gemma":0.00008890718,"threshold_uncertainty_score":0.7888755},"labels":[],"label_agreement":null},{"id":"W2418286003","doi":"10.1142/s201013921650018x","title":"Portfolio Selection with Transaction Costs and Jump-Diffusion Asset Dynamics I: A Numerical Solution","year":2016,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Discretization; Jump diffusion; Transaction cost; Portfolio; Selection (genetic algorithm); Discrete time and continuous time; Jump; Mathematical optimization; Jump process; Asset (computer security); Diffusion; Infinity; Mathematics; Time horizon; Computer science; Applied mathematics; Economics; Finance; Mathematical analysis; Statistics; Physics","score_opus":0.0082181839296336,"score_gpt":0.202009718781661,"score_spread":0.19379153485202738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2418286003","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1504938,0.00041753348,0.8474171,0.0012111363,0.000121782265,0.00008760568,0.00003184666,0.000010560558,0.00020861594],"genre_scores_gemma":[0.99549633,0.00020388595,0.004011631,0.000043753407,0.000115084695,0.0000118186745,0.0000018136228,0.000014098975,0.00010159395],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99902785,0.0000047564913,0.0005163757,0.00020513346,0.00005989165,0.00018601705],"domain_scores_gemma":[0.99898094,0.000036781796,0.00068899104,0.00009634013,0.00012005181,0.000076887554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021105698,0.00011974424,0.00028338292,0.0001622967,0.000116631614,0.000031296502,0.00009613919,0.000084083564,0.000017245527],"category_scores_gemma":[0.000026490745,0.000093889015,0.000058804246,0.00027491164,0.00005273207,0.00042680584,0.0000033631247,0.00012945061,0.00001953272],"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":[0.00045838003,0.00033848663,0.016572617,0.000034875968,0.000057057532,0.000012311436,0.00038863881,0.000019354493,0.0010052199,0.55186135,0.0004891124,0.4287626],"study_design_scores_gemma":[0.009320363,0.013398964,0.47135922,0.00076709496,0.00013594911,0.00271675,0.00032288715,0.03613087,0.0004167539,0.43670946,0.02704924,0.0016724371],"about_ca_topic_score_codex":0.00007168084,"about_ca_topic_score_gemma":0.00004100903,"teacher_disagreement_score":0.84500253,"about_ca_system_score_codex":0.00019813365,"about_ca_system_score_gemma":0.000051899475,"threshold_uncertainty_score":0.3828683},"labels":[],"label_agreement":null},{"id":"W2419540706","doi":"10.1142/s2010139216500191","title":"Portfolio Selection with Transaction Costs and Jump-Diffusion Asset Dynamics II: Economic Implications","year":2016,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Portfolio; Economics; Econometrics; Asset (computer security); Transaction cost; Volatility (finance); Asset allocation; Jump diffusion; Expected utility hypothesis; Jump; Solvency; Microeconomics; Financial economics; Market liquidity; Monetary economics; Computer science","score_opus":0.0081522584457293,"score_gpt":0.20673924222152087,"score_spread":0.19858698377579156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2419540706","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36289328,0.0003289411,0.6343131,0.0016741275,0.00011164948,0.00010411689,0.000110250134,0.000010616078,0.00045389912],"genre_scores_gemma":[0.9965629,0.00037575274,0.0026597108,0.000039329923,0.00012958831,0.000023229231,0.0000034013299,0.000017682665,0.0001884286],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989205,0.0000034867498,0.0006114465,0.00024204965,0.000033565015,0.00018897984],"domain_scores_gemma":[0.99881434,0.000042033746,0.0008273215,0.00015236107,0.000095265204,0.00006865202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020198993,0.00013408133,0.00029798114,0.000196586,0.00020945013,0.000037455495,0.00014335416,0.000084161096,0.000029139363],"category_scores_gemma":[0.000010421852,0.000110646295,0.000065338645,0.00017614331,0.00006604036,0.00048545896,0.000005801986,0.00011773895,0.000028120001],"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":[0.00011964964,0.00015048127,0.015855333,0.000014510062,0.0000428527,0.0000018681301,0.00023426178,0.000023825223,0.00047135836,0.8088731,0.00035650533,0.17385624],"study_design_scores_gemma":[0.004058413,0.0051880213,0.5457008,0.00028610017,0.00007404431,0.0010553175,0.00016909683,0.0033203044,0.00021806582,0.41217837,0.02686049,0.0008909586],"about_ca_topic_score_codex":0.00006877271,"about_ca_topic_score_gemma":0.0001851076,"teacher_disagreement_score":0.6336696,"about_ca_system_score_codex":0.00029602545,"about_ca_system_score_gemma":0.000068178946,"threshold_uncertainty_score":0.4512025},"labels":[],"label_agreement":null},{"id":"W2518082067","doi":"10.1142/s201013921750001x","title":"Humans, Econs and Portfolio Choice","year":2016,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of Waterloo","funders":"Simon Fraser University","keywords":"Prospect theory; Loss aversion; Portfolio; Modern portfolio theory; Economics; Expected utility hypothesis; Risk aversion (psychology); Asset (computer security); Sample (material); Asset allocation; Variance (accounting); Decision theory; Behavioral economics; Post-modern portfolio theory; Capital asset pricing model; Econometrics; Actuarial science; Replicating portfolio; Financial economics; Microeconomics; Portfolio optimization; Computer science","score_opus":0.02005873862288925,"score_gpt":0.2150503165525062,"score_spread":0.19499157792961694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2518082067","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":[0.96921134,0.006998371,0.0011910404,0.001810338,0.0006276629,0.000072447554,0.00004314133,0.000010032918,0.020035625],"genre_scores_gemma":[0.9958509,0.0015440773,0.0005362621,0.00020149928,0.0002348218,0.0000027656197,2.8379264e-7,0.000013516867,0.0016158309],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.998794,0.000011004333,0.00073773466,0.00018691865,0.000039107923,0.00023123874],"domain_scores_gemma":[0.9988759,0.000066181914,0.00076774356,0.00017361862,0.000051578594,0.00006498007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038165043,0.0001327412,0.00037799895,0.00017270923,0.000076689226,0.000058650632,0.00018739224,0.00006652477,0.00020435479],"category_scores_gemma":[0.00005657741,0.00010305103,0.00010090073,0.00009157261,0.00012011663,0.0007182276,0.00000937471,0.00010151743,0.000077115255],"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":[0.000038944912,0.00009016644,0.08492911,0.000023938033,0.000045510827,0.00003759811,0.00034041438,7.275161e-7,0.00023863654,0.8588579,0.015020995,0.040376022],"study_design_scores_gemma":[0.0011604963,0.001189681,0.4794516,0.00013610952,0.0000072376515,0.00006248442,0.000049413786,0.0000074757118,0.00005808368,0.18388039,0.33373147,0.0002655668],"about_ca_topic_score_codex":0.0000316481,"about_ca_topic_score_gemma":0.000014548395,"teacher_disagreement_score":0.67497754,"about_ca_system_score_codex":0.000037260666,"about_ca_system_score_gemma":0.000032583328,"threshold_uncertainty_score":0.4202299},"labels":[],"label_agreement":null},{"id":"W2921644424","doi":"10.1142/s2010139219500083","title":"The Association between Complexity and Managerial Discretion in the Property and Casualty Insurance Industry","year":2019,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; HEC Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Earnings; Discretion; Business; Salient; Monetary economics; Insurance industry; Actuarial science; Economics; Finance; Computer science","score_opus":0.02365631741656934,"score_gpt":0.22363267191473174,"score_spread":0.1999763544981624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921644424","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":[0.9942349,0.0012416578,0.00025811323,0.0021668025,0.0003443063,0.00024042,0.00002811201,0.0000024141643,0.0014832804],"genre_scores_gemma":[0.9984818,0.0007390617,0.00006716382,0.0001007948,0.00015645142,0.0000057183524,9.372576e-7,0.000006302227,0.00044177336],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99891084,0.000058123594,0.0005865147,0.00015323449,0.00008752529,0.00020378179],"domain_scores_gemma":[0.9989065,0.00010197,0.000785341,0.00014749874,0.000040007428,0.00001869202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001977544,0.00010067047,0.00029117567,0.00006920023,0.00015573019,0.00014389478,0.00021816696,0.00011153521,0.00000408927],"category_scores_gemma":[0.000045336004,0.000061111634,0.000046556514,0.00017341528,0.00006782664,0.00038275882,0.000012981077,0.00046462452,0.000015758256],"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":[0.000058940474,0.000029038993,0.9191126,0.000024403806,0.000023496246,0.0000056088898,0.0016959246,0.000008588001,0.0000024903088,0.03643212,0.00023360584,0.04237314],"study_design_scores_gemma":[0.0006519147,0.00029874456,0.95700634,0.00003978564,0.0000042215675,0.000005650674,0.0003094029,0.0000890751,0.0000018148284,0.018421821,0.02307599,0.00009521522],"about_ca_topic_score_codex":0.0001497246,"about_ca_topic_score_gemma":0.000091343296,"teacher_disagreement_score":0.04227792,"about_ca_system_score_codex":0.00007745522,"about_ca_system_score_gemma":0.000012551187,"threshold_uncertainty_score":0.24920599},"labels":[],"label_agreement":null},{"id":"W2995065447","doi":"10.1142/s2010139221500117","title":"Role of Institutional Investors: Evidence from the Foreign Rule-144A Debt Market","year":2020,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","topic":"Credit Risk and Financial Regulations","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; University of Waterloo","funders":"","keywords":"Financial system; Business; Debt; External debt; Internal debt; Monetary economics; Senior debt; Debt-to-GDP ratio; Finance; Economics","score_opus":0.03295011642367385,"score_gpt":0.21249788462447416,"score_spread":0.17954776820080032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995065447","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":[0.9658561,0.016236655,0.011716884,0.0024907375,0.00031944292,0.00011641359,0.00022433531,0.0000074018963,0.0030320834],"genre_scores_gemma":[0.995953,0.0005787241,0.0026156856,0.0001314013,0.0006544167,0.000004144794,0.0000029906437,0.00001079229,0.00004879429],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985068,0.000026757676,0.0009901394,0.00019236068,0.00010911118,0.00017482652],"domain_scores_gemma":[0.998246,0.00022613163,0.0010973737,0.00022465328,0.00012381974,0.00008199675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004308781,0.00013195454,0.00041059154,0.00007387763,0.00012596215,0.000042464137,0.0005112818,0.00008091655,0.00016810629],"category_scores_gemma":[0.00038971775,0.00011488607,0.00022585828,0.00030673045,0.00017060584,0.00059063494,0.00002049315,0.00025344465,0.000053987314],"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":[0.00045912853,0.00018371464,0.4685207,0.00003942378,0.00014261178,0.000028332039,0.010722265,0.0009784716,0.00092235615,0.42764634,0.021075323,0.06928135],"study_design_scores_gemma":[0.0005199021,0.00054696423,0.8384172,0.00019622789,0.000017696962,0.00001620301,0.00028595305,0.0028353615,0.00014265999,0.105917305,0.050919954,0.00018461507],"about_ca_topic_score_codex":0.00018330412,"about_ca_topic_score_gemma":0.000024832663,"teacher_disagreement_score":0.36989647,"about_ca_system_score_codex":0.000052314237,"about_ca_system_score_gemma":0.0001398936,"threshold_uncertainty_score":0.4684918},"labels":[],"label_agreement":null},{"id":"W3095988102","doi":"10.1142/s2010139220500159","title":"Do Algorithmic Traders Improve Liquidity When Information Asymmetry is High?","year":2020,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Market liquidity; Information asymmetry; Earnings; Equity (law); Algorithmic trading; High-frequency trading; Business; Monetary economics; Financial economics; Proxy (statistics); Order (exchange); Liquidity crisis; Economics; Finance; Computer science","score_opus":0.02090257279332699,"score_gpt":0.1990079412029838,"score_spread":0.1781053684096568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095988102","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":[0.93022746,0.005067319,0.029019723,0.022258567,0.0026333556,0.0004060912,0.00046365795,0.000045976056,0.009877878],"genre_scores_gemma":[0.992803,0.00036357183,0.0035286653,0.0027612827,0.0004550012,0.00000475944,0.0000044148214,0.000014482118,0.00006487297],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99824077,0.000016700362,0.0011776836,0.00019079207,0.0000970035,0.0002770605],"domain_scores_gemma":[0.9982712,0.000027819116,0.0013110107,0.00018153466,0.000096172225,0.00011224289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003767027,0.00019327433,0.0005065591,0.00016774201,0.00008779825,0.00018741253,0.00036190375,0.00012456917,0.00019366162],"category_scores_gemma":[0.00006451892,0.00019991295,0.00020528855,0.00021285652,0.00006937801,0.0022844556,0.000012996592,0.00032963982,0.00024083094],"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":[0.00066767726,0.000330466,0.002874199,0.00041784553,0.0003073073,0.00009001484,0.035145104,0.00011248632,0.00027865637,0.56008583,0.16307859,0.2366118],"study_design_scores_gemma":[0.0054924404,0.011876192,0.05112816,0.00020530645,0.000051237475,0.00008108945,0.0024301342,0.004659523,0.0014068824,0.30524826,0.6159636,0.0014571825],"about_ca_topic_score_codex":0.000060946524,"about_ca_topic_score_gemma":7.0701304e-7,"teacher_disagreement_score":0.452885,"about_ca_system_score_codex":0.000070163194,"about_ca_system_score_gemma":0.000070774804,"threshold_uncertainty_score":0.81522137},"labels":[],"label_agreement":null},{"id":"W3096909230","doi":"10.1142/s2010139221500014","title":"European Puts, Credit Protection, and Endogenous Default","year":2020,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","topic":"European Monetary and Fiscal 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":"Western University","funders":"","keywords":"Business; Economics; Financial system","score_opus":0.05920078949500039,"score_gpt":0.18188541755209295,"score_spread":0.12268462805709256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096909230","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":[0.88570327,0.030081533,0.032131087,0.012755331,0.0010896994,0.00033140008,0.00012169697,0.00006179846,0.037724167],"genre_scores_gemma":[0.9975794,0.00025579915,0.00064972806,0.000609173,0.00069556566,8.0777164e-7,8.092267e-7,0.000021069738,0.00018764942],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99889326,0.000041205803,0.000665088,0.00017814783,0.000039766503,0.000182528],"domain_scores_gemma":[0.99913496,0.000015621528,0.00057682634,0.000116978794,0.000042949436,0.0001126824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033946036,0.00012256864,0.0003027357,0.00007672936,0.00009386852,0.00006583137,0.00021594051,0.000024703433,0.000025753636],"category_scores_gemma":[0.000048579517,0.00012631461,0.000094901974,0.00012211288,0.00006729402,0.00032567608,0.000015807896,0.0002667928,0.0003504647],"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":[0.0016199772,0.0012145853,0.07324287,0.001168396,0.0010338291,0.0044151717,0.10178714,0.0021238667,0.014098369,0.19844872,0.093912974,0.5069341],"study_design_scores_gemma":[0.002512797,0.0067018066,0.14413333,0.000115939336,0.00003019721,0.00093249936,0.00037813163,0.0013661612,0.00037097058,0.016633352,0.82603943,0.0007853536],"about_ca_topic_score_codex":0.000018180615,"about_ca_topic_score_gemma":0.0000010382207,"teacher_disagreement_score":0.7321265,"about_ca_system_score_codex":0.00001230142,"about_ca_system_score_gemma":0.000008328506,"threshold_uncertainty_score":0.515096},"labels":[],"label_agreement":null},{"id":"W3121161246","doi":"10.1142/s2010139215500147","title":"Information Asymmetry and Corporate Governance","year":2015,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":98,"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 Saskatchewan","funders":"","keywords":"Corporate governance; Information asymmetry; Incentive; Business; Accounting; Asymmetry; Industrial organization; Economics; Finance; Microeconomics","score_opus":0.019547482881535815,"score_gpt":0.1971645677053695,"score_spread":0.17761708482383368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121161246","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":[0.99046195,0.0008229965,0.0033732394,0.0012800482,0.0008328236,0.0000790498,0.0000069083912,0.00001664674,0.0031263353],"genre_scores_gemma":[0.99768007,0.00008428406,0.0004411516,0.001018935,0.00060860714,0.0000016347293,0.0000018047255,0.00000861057,0.0001549245],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99893427,0.0000061320297,0.00047057966,0.00007774168,0.00033356214,0.00017770365],"domain_scores_gemma":[0.99708515,0.000013902505,0.002232529,0.000136986,0.00051234843,0.00001906003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044209248,0.00013675602,0.00023492781,0.00009256035,0.000053398366,0.00019236049,0.00020777891,0.000051099483,0.0000066299062],"category_scores_gemma":[0.000079693484,0.000121342455,0.000051221105,0.00037910513,0.00005262339,0.005907055,0.00001820289,0.00016949479,0.00014593467],"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":[0.00079115893,0.00016296373,0.19132686,0.0002499991,0.00004588729,0.00019565928,0.00091888633,0.00039112824,0.00012319449,0.12538514,0.17983462,0.5005745],"study_design_scores_gemma":[0.002509714,0.00034926314,0.474292,0.00023514398,0.000034684002,0.000118751996,0.00033037987,0.0009805693,0.000030119661,0.01835626,0.5024224,0.00034068222],"about_ca_topic_score_codex":0.00007679579,"about_ca_topic_score_gemma":0.00001619584,"teacher_disagreement_score":0.5002338,"about_ca_system_score_codex":0.00003589689,"about_ca_system_score_gemma":0.00007734478,"threshold_uncertainty_score":0.49482018},"labels":[],"label_agreement":null},{"id":"W3121944885","doi":"10.1142/s2010139215500196","title":"Does Institutional Ownership Promote the Transformation of Underperforming Firms?","year":2015,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The King's University; Western University","funders":"","keywords":"Persistence (discontinuity); Business; Institutional investor; Monetary economics; Asset (computer security); Quality (philosophy); Financial system; Economics; Finance; Corporate governance","score_opus":0.02642025283701796,"score_gpt":0.2201237564290125,"score_spread":0.19370350359199454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121944885","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":[0.9901079,0.00016415777,0.004792729,0.0030443596,0.0006487621,0.00010261929,0.000003308717,0.0000068670347,0.0011292849],"genre_scores_gemma":[0.9988822,0.000019867124,0.00018521826,0.00021359297,0.00059050636,0.000002154673,0.0000014634973,0.0000059749327,0.00009902973],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99896514,0.0000073520237,0.00045694524,0.00007363231,0.00035677297,0.00014017112],"domain_scores_gemma":[0.99856925,0.000014822681,0.0009138159,0.00012011634,0.0003735165,0.000008483147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006280653,0.00010085664,0.00017517387,0.00007890998,0.00009795892,0.00006195975,0.00027290732,0.000038222697,0.000008966377],"category_scores_gemma":[0.000037464906,0.000049876668,0.00008830043,0.0002888877,0.00008137163,0.002326048,0.0000065023687,0.00015862727,0.000020487869],"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":[0.001534616,0.0006320899,0.0617252,0.0009304183,0.00014133696,0.00013762664,0.011467936,0.0071365843,0.0016273964,0.19875957,0.011424442,0.7044828],"study_design_scores_gemma":[0.005725308,0.0009203076,0.27461582,0.0016325106,0.00017603583,0.00015525622,0.003213606,0.008901027,0.0013008838,0.07772061,0.6249302,0.00070842396],"about_ca_topic_score_codex":0.000068282556,"about_ca_topic_score_gemma":0.000059645645,"teacher_disagreement_score":0.70377433,"about_ca_system_score_codex":0.000034619577,"about_ca_system_score_gemma":0.00012585003,"threshold_uncertainty_score":0.20339115},"labels":[],"label_agreement":null},{"id":"W3122062156","doi":"10.1142/s201013921250019x","title":"The Dynamics of Geographic versus Sectoral Diversification: Is There a Link to the Real Economy?","year":2012,"lang":"en","type":"preprint","venue":"Quarterly Journal of Finance","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","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":"McGill University","funders":"","keywords":"Diversification (marketing strategy); Equity (law); Economics; Production (economics); Emerging markets; Economic geography; Industrial production; Monetary economics; Business; Macroeconomics","score_opus":0.03340730072377837,"score_gpt":0.22940239070150864,"score_spread":0.19599508997773027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122062156","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":[0.9466295,0.014606008,0.0015882903,0.023829471,0.0060767755,0.00046199298,0.00054512103,0.000010018217,0.00625279],"genre_scores_gemma":[0.9961927,0.0019763883,0.00028017577,0.00007794566,0.0011365205,0.000016495404,0.000008247818,0.000025121142,0.00028642963],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99784786,0.00006112647,0.0012858362,0.00036817885,0.000060150647,0.0003768296],"domain_scores_gemma":[0.9956135,0.00019772351,0.00287443,0.0010211376,0.0001906766,0.00010250076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018382458,0.00027281305,0.0007006897,0.00019046379,0.00023975063,0.00014455784,0.0013378139,0.00022872718,0.000061794846],"category_scores_gemma":[0.000047975216,0.00021558964,0.00049520086,0.00016543531,0.00016974506,0.0002831966,0.00012261783,0.0008328256,0.00010651263],"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":[0.001667612,0.00033789992,0.41956514,0.000369829,0.0016253645,0.000007975147,0.0144505305,0.0010742001,0.0000046312985,0.42378712,0.008120179,0.12898952],"study_design_scores_gemma":[0.0024434046,0.0020286695,0.5780635,0.0002518796,0.00017737104,0.000032394222,0.0011122482,0.0047604907,0.000047766247,0.17071718,0.23911251,0.0012525984],"about_ca_topic_score_codex":0.0003987336,"about_ca_topic_score_gemma":0.00024594192,"teacher_disagreement_score":0.25306994,"about_ca_system_score_codex":0.0002051027,"about_ca_system_score_gemma":0.000120429875,"threshold_uncertainty_score":0.879149},"labels":[],"label_agreement":null},{"id":"W3122435882","doi":"10.1142/s201013921550007x","title":"Can Structural Models Price Default Risk? Evidence from Bond and Credit Derivative Markets","year":2015,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":38,"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":"Credit default swap; Bond; Treasury; Issuer; Bond valuation; Corporate bond; Econometrics; Economics; Credit risk; iTraxx; Credit default swap index; Derivative (finance); Financial economics; Interest rate swap; Monetary economics; Credit valuation adjustment; Interest rate; Actuarial science; Finance","score_opus":0.04257759363121275,"score_gpt":0.2384761190836299,"score_spread":0.19589852545241715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122435882","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":[0.9544569,0.014500457,0.028778505,0.000694929,0.00075530005,0.00011611664,0.0002436049,0.000009857088,0.00044428068],"genre_scores_gemma":[0.990357,0.0008761008,0.008155367,0.000017340353,0.0004646635,0.000004458328,0.0000039719216,0.000018856954,0.000102266946],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99834234,0.000034457917,0.00091188995,0.00030421364,0.00012269398,0.00028438444],"domain_scores_gemma":[0.99766886,0.00020294308,0.0014184177,0.00026867056,0.0002542297,0.00018687324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063757895,0.00020001752,0.00052722683,0.00018202171,0.00014136564,0.00011270416,0.00030406626,0.00011835152,0.000020507416],"category_scores_gemma":[0.0003964851,0.0002044385,0.0001160626,0.00024785683,0.00012162438,0.0011338369,0.000026408936,0.0003414516,0.000014942047],"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":[0.0012551665,0.00019090144,0.68981606,0.00005391284,0.00033039055,0.00019849301,0.06417194,0.0058250865,0.000102389386,0.06961162,0.018362593,0.15008144],"study_design_scores_gemma":[0.0008720392,0.00047323116,0.74102557,0.000107606495,0.000018816747,0.000045801517,0.00047396615,0.017669832,0.000022492677,0.2366841,0.0023358553,0.00027070896],"about_ca_topic_score_codex":0.00077850965,"about_ca_topic_score_gemma":0.00014965903,"teacher_disagreement_score":0.16707249,"about_ca_system_score_codex":0.00014111945,"about_ca_system_score_gemma":0.00011425988,"threshold_uncertainty_score":0.83367604},"labels":[],"label_agreement":null},{"id":"W3122562706","doi":"10.1142/s2010139211000109","title":"The Uncertainty Premium in an Ambiguous Economy","year":2011,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":39,"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":"Lunds Universitet; York University","keywords":"Equity premium puzzle; Ambiguity aversion; Ambiguity; Risk premium; Economics; Liquidity premium; Odds; Risk aversion (psychology); Volatility risk premium; Econometrics; Financial economics; Actuarial science; Expected utility hypothesis; Monetary economics; Mathematics; Logistic regression; Computer science; Statistics","score_opus":0.07378510645709488,"score_gpt":0.3325122230943171,"score_spread":0.25872711663722225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122562706","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":[0.9892236,0.00042371306,0.0039526764,0.00030170212,0.0005274171,0.00007318864,0.0000012824082,0.0000037755156,0.00549262],"genre_scores_gemma":[0.9979923,0.0002565915,0.0011734418,0.00006507833,0.00009347946,0.0000020515486,1.8757683e-7,0.000004925618,0.00041194324],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9983117,0.0001741306,0.00087201875,0.00014408375,0.00031247237,0.00018562407],"domain_scores_gemma":[0.99833345,0.00011654173,0.00076310436,0.00035344556,0.00037359388,0.00005986401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024529293,0.00008377639,0.00019733649,0.00014524916,0.00010751964,0.00015685172,0.0007804737,0.00004756579,0.000033810873],"category_scores_gemma":[0.0001102633,0.000048561284,0.00008156022,0.00031639735,0.00007788657,0.0009005638,0.0000073763604,0.00017511436,0.000034237986],"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":[0.00020600916,0.00009569271,0.021758161,4.5180855e-7,0.0000051563447,0.000052263324,0.0067440183,0.0026300577,0.000014659644,0.0026056438,0.0018026648,0.9640852],"study_design_scores_gemma":[0.0013185999,0.003670739,0.6216382,0.000046941117,0.000012850575,0.00021451575,0.0043144086,0.013029754,0.00019128912,0.26417243,0.09106357,0.00032672714],"about_ca_topic_score_codex":0.0000869306,"about_ca_topic_score_gemma":0.00022199296,"teacher_disagreement_score":0.96375847,"about_ca_system_score_codex":0.000027865324,"about_ca_system_score_gemma":0.00011509694,"threshold_uncertainty_score":0.19802718},"labels":[],"label_agreement":null},{"id":"W3123142804","doi":"10.1142/s2010139213500092","title":"Alleviating Coordination Problems and Regulatory Constraints Through Financial Risk Management","year":2013,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","topic":"Risk Management in Financial Firms","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":"Université de Montréal; Center for Interuniversity Research and Analysis on Organizations; HEC Montréal","funders":"","keywords":"Business; Portfolio; Nexus (standard); Risk management; Financial risk; Finance; Cash flow; Financial risk management; Project portfolio management; Financial market; Economics; Actuarial science; Project management; Computer science","score_opus":0.009220491539808653,"score_gpt":0.19655169346835147,"score_spread":0.1873312019285428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123142804","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":[0.97280717,0.000790917,0.010359409,0.0009334127,0.0009190791,0.00075939216,0.0000024198484,0.000053464784,0.013374739],"genre_scores_gemma":[0.99218684,0.00025477377,0.0058342135,0.00051392586,0.000805369,0.00002889209,0.0000027569429,0.000028843606,0.00034440376],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99805623,0.000025950489,0.0008263943,0.00028322983,0.0004360945,0.000372105],"domain_scores_gemma":[0.9977634,0.000041239444,0.0015681844,0.00023957515,0.00037114482,0.000016455826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007376926,0.0002571369,0.0003681269,0.00025666345,0.0002747988,0.00037385753,0.0003500998,0.00008924146,0.00009023379],"category_scores_gemma":[0.00008648895,0.00023843872,0.00011717488,0.00039131832,0.00017397096,0.0034000454,0.0000702849,0.00030025785,0.00015326041],"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":[0.00003960321,0.00017500202,0.025245799,0.00050673063,0.00007756221,0.00006712035,0.00074323476,0.00021800742,0.00010917294,0.14764775,0.029510787,0.79565924],"study_design_scores_gemma":[0.0032414957,0.0003973913,0.58486176,0.00095006713,0.00023604998,0.000043288368,0.0009933899,0.002323548,0.000019474368,0.25372067,0.1523825,0.0008303534],"about_ca_topic_score_codex":0.00015595547,"about_ca_topic_score_gemma":0.00001645678,"teacher_disagreement_score":0.7948289,"about_ca_system_score_codex":0.00004923142,"about_ca_system_score_gemma":0.000018214272,"threshold_uncertainty_score":0.9723249},"labels":[],"label_agreement":null},{"id":"W4311054521","doi":"10.1142/s2010139222500148","title":"Why do Funds Make More When They Trade More?","year":2022,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Mutual fund; Cash flow; Index fund; Stock (firearms); Business; Closed-end fund; Residual; Financial economics; Economics; Monetary economics; Finance; Econometrics; Open-end fund; Institutional investor; Computer science","score_opus":0.02151374250108282,"score_gpt":0.2156092209651021,"score_spread":0.19409547846401928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311054521","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":[0.9295144,0.016914366,0.0011713475,0.024406355,0.002956965,0.00031913113,0.00041093476,0.000038091228,0.02426842],"genre_scores_gemma":[0.99475896,0.00029821714,0.0009704736,0.0028354141,0.00029719935,0.0000230705,0.0000049756372,0.00003519968,0.00077650475],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99803686,0.000040022624,0.0010779104,0.00029803268,0.00015185922,0.00039533144],"domain_scores_gemma":[0.99833506,0.000044212185,0.0011602388,0.00034637662,0.000034557415,0.000079533216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075450353,0.00022520912,0.0005847773,0.00029969309,0.00029735581,0.00013262061,0.00062712055,0.00006668245,0.00059346564],"category_scores_gemma":[0.000023434217,0.00023806638,0.00030000194,0.00021706287,0.00009383624,0.00047192484,0.000035386187,0.00050031603,0.000022935092],"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":[0.00042370384,0.0007758814,0.016018223,0.0000857351,0.00019423701,0.00036942906,0.021697033,0.0009291762,0.0001163893,0.7445531,0.17982332,0.03501378],"study_design_scores_gemma":[0.0011347946,0.002049995,0.051945776,0.000037387228,0.00001340171,0.000185935,0.0017357485,0.0002730916,0.000012266543,0.17643699,0.7657632,0.00041138552],"about_ca_topic_score_codex":0.00010188915,"about_ca_topic_score_gemma":0.000012134677,"teacher_disagreement_score":0.5859399,"about_ca_system_score_codex":0.00015002025,"about_ca_system_score_gemma":0.000068014495,"threshold_uncertainty_score":0.9708065},"labels":[],"label_agreement":null},{"id":"W4311416820","doi":"10.1142/s2010139223500027","title":"Accounting Information Completeness and Firm Default Risk","year":2022,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Completeness (order theory); Balance sheet; Accounting information system; Accounting; Business; Default; Debt; Economics; Actuarial science; Finance; Mathematics","score_opus":0.005560492749697638,"score_gpt":0.1870214699567716,"score_spread":0.18146097720707396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311416820","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":[0.94165593,0.0002777018,0.055055164,0.00055580575,0.0006669667,0.00013133297,0.000008961497,0.000031283245,0.0016168421],"genre_scores_gemma":[0.99802727,0.000028606757,0.00048315385,0.000897519,0.00045442037,0.000008577401,0.000005314818,0.00001488085,0.00008027212],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99848175,0.000022298278,0.0005891236,0.0001270439,0.00052758167,0.0002522311],"domain_scores_gemma":[0.9799063,0.000055596516,0.019659188,0.00014367267,0.00022605296,0.000009160188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095783395,0.00015059726,0.00024247906,0.000253115,0.0005810621,0.00033511067,0.00037899573,0.000023536682,0.00010402268],"category_scores_gemma":[0.0007907313,0.00015472733,0.00007765662,0.00041315026,0.000041486914,0.0036606432,0.00013938305,0.00044143086,0.000049028695],"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":[0.00011209568,0.00005890293,0.08211588,0.00016510757,0.00004509192,0.000045533303,0.0009973509,0.0036683374,0.000060188548,0.0074419454,0.012067003,0.8932226],"study_design_scores_gemma":[0.0011048666,0.00014685103,0.22976825,0.00008032996,0.000058425616,0.000056684068,0.0013952795,0.0052286,0.0000030282772,0.0032269487,0.7586626,0.00026817175],"about_ca_topic_score_codex":0.0002270034,"about_ca_topic_score_gemma":0.000013837837,"teacher_disagreement_score":0.8929544,"about_ca_system_score_codex":0.000059790636,"about_ca_system_score_gemma":0.00002300123,"threshold_uncertainty_score":0.6309597},"labels":[],"label_agreement":null},{"id":"W4380669112","doi":"10.1142/s2010139223500106","title":"Post-FOMC Drift","year":2023,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","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":"University of Alberta","funders":"","keywords":"Monetary policy; Monetary economics; Stock (firearms); Economics; Stock market; Financial market; Financial economics; Finance","score_opus":0.021158360328668288,"score_gpt":0.21720852611538188,"score_spread":0.19605016578671358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380669112","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":[0.9695688,0.0027225472,0.0004548328,0.002470697,0.0016646367,0.00009493431,0.00007148423,0.000039469316,0.02291262],"genre_scores_gemma":[0.9955391,0.0006232159,0.0005656898,0.00032577384,0.00030039577,0.00000435234,0.0000035754636,0.000020974967,0.0026168725],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9985542,0.000013965714,0.00086395425,0.00018380939,0.00006521857,0.00031881893],"domain_scores_gemma":[0.9988242,0.000046923305,0.00075177266,0.0002163429,0.00010121159,0.000059579463],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006451462,0.00014232853,0.00041728548,0.0003527195,0.000094723204,0.000084103056,0.0003278856,0.00007994643,0.00013954188],"category_scores_gemma":[0.00007281223,0.00014401354,0.00020022517,0.00043152168,0.00006897626,0.0005941864,0.000012351424,0.00020041046,0.0010149695],"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":[0.000088782304,0.00011868607,0.009613511,0.00004945332,0.000060135484,0.0001842376,0.0019250554,0.000062750354,0.00032977766,0.92765844,0.038966686,0.020942463],"study_design_scores_gemma":[0.001197772,0.0027443566,0.3816783,0.000112623726,0.000009157428,0.00008136286,0.00055675616,0.00040835107,0.000106192296,0.27357268,0.3390578,0.0004746076],"about_ca_topic_score_codex":0.000036559704,"about_ca_topic_score_gemma":0.0000057127822,"teacher_disagreement_score":0.65408576,"about_ca_system_score_codex":0.00003681716,"about_ca_system_score_gemma":0.000051057574,"threshold_uncertainty_score":0.99976283},"labels":[],"label_agreement":null},{"id":"W4387641635","doi":"10.1142/s2010139223500143","title":"Price Discovery in the CDS Market: Evidence from Corporate Acquisitions","year":2023,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","topic":"Credit Risk and Financial Regulations","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 Waterloo","funders":"","keywords":"Credit default swap; Price discovery; Business; Monetary economics; Equity (law); Information asymmetry; Corporate governance; Financial system; iTraxx; Credit default swap index; Creditor; Hedge fund; Credit risk; Financial economics; Economics; Finance; Credit valuation adjustment; Futures contract; Credit reference; Debt","score_opus":0.056543154071421325,"score_gpt":0.2447108593108356,"score_spread":0.18816770523941428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387641635","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":[0.98050576,0.0032908479,0.01117428,0.0027160055,0.000766596,0.00013020214,0.00018978525,0.00001162044,0.0012148778],"genre_scores_gemma":[0.99694926,0.0012661591,0.0004985712,0.00006620694,0.00039541998,0.000013425928,0.0000067751894,0.000012766532,0.0007913968],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984784,0.00004702044,0.0009018263,0.00020945494,0.000101649486,0.00026162775],"domain_scores_gemma":[0.99806434,0.0004140381,0.0010900899,0.00033531262,0.00006203805,0.000034206332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010767877,0.00012812231,0.00034770317,0.00031781735,0.00012788683,0.0001549867,0.0005049845,0.00007379917,0.000082761464],"category_scores_gemma":[0.00018113316,0.00011180427,0.00017329614,0.0010703268,0.000075122916,0.0010768666,0.000015501411,0.00027481312,0.00023521512],"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":[0.00046071687,0.0005985302,0.5692836,0.00005990634,0.00012186036,0.00082698424,0.02797731,0.0024181758,0.00046239572,0.25285473,0.11253734,0.03239843],"study_design_scores_gemma":[0.00029814994,0.0002208472,0.9060836,0.00013491236,0.0000057206425,0.000016299115,0.00034066243,0.00096671924,0.00000561813,0.0817625,0.010034241,0.00013072258],"about_ca_topic_score_codex":0.0001392895,"about_ca_topic_score_gemma":0.00007715052,"teacher_disagreement_score":0.3368,"about_ca_system_score_codex":0.00007111334,"about_ca_system_score_gemma":0.00006610188,"threshold_uncertainty_score":0.45592457},"labels":[],"label_agreement":null},{"id":"W4392241784","doi":"10.1142/s2010139224500034","title":"Futures Replication and the Law of One Futures Price","year":2024,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Futures contract; Spread trade; Forward market; Commodity pool; Cash; Economics; Financial economics; Microeconomics; Finance","score_opus":0.014344798612632022,"score_gpt":0.22497560878747327,"score_spread":0.21063081017484125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392241784","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13178053,0.13981672,0.7076214,0.012102301,0.0008430688,0.00040142753,0.00011105457,0.000026163061,0.007297318],"genre_scores_gemma":[0.9964093,0.0007853651,0.002230165,0.00013893461,0.0003301113,0.000015740867,9.0577254e-7,0.000009720761,0.00007974628],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99899185,0.0000051275247,0.0006613097,0.0001835852,0.000048716625,0.000109397355],"domain_scores_gemma":[0.9989585,0.0001171516,0.00054689014,0.00026752858,0.00008497091,0.000024956753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006300528,0.00008292988,0.0003027637,0.00008457736,0.000109244895,0.000062319676,0.00022309118,0.000053974367,0.000009576572],"category_scores_gemma":[0.000050851682,0.00006484887,0.00009923288,0.00024550813,0.0001697961,0.00019881336,0.00001039675,0.00017095011,0.000013320949],"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":[0.0000405714,0.000028428123,0.000021181497,0.000055463865,0.00002658665,0.0000010784925,0.0017180536,0.0000042285487,0.000053858384,0.9768255,0.00025370118,0.02097139],"study_design_scores_gemma":[0.00055702194,0.0002966778,0.008090179,0.00011981552,0.000021500946,0.000059539674,0.00024996902,0.00052342,0.00011089681,0.9500034,0.03985358,0.00011398849],"about_ca_topic_score_codex":0.00007952707,"about_ca_topic_score_gemma":0.000013093651,"teacher_disagreement_score":0.8646288,"about_ca_system_score_codex":0.000018080678,"about_ca_system_score_gemma":0.00002827663,"threshold_uncertainty_score":0.26444602},"labels":[],"label_agreement":null},{"id":"W4393081949","doi":"10.1142/s201013922450006x","title":"Managing Climate Change Risks: Sea-Level Rise and Mergers and Acquisitions","year":2024,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Mergers and acquisitions; Climate change; Stock (firearms); Business; Shock (circulatory); Systematic risk; Finance; Oceanography; Geography","score_opus":0.05414773055175676,"score_gpt":0.26031647232664346,"score_spread":0.2061687417748867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393081949","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":[0.81775624,0.15896522,0.010097563,0.005144093,0.0017311054,0.00029363442,0.0004849196,0.00004072719,0.005486495],"genre_scores_gemma":[0.9668047,0.031662386,0.0009048706,0.00015127148,0.00030396497,0.000012494381,0.0000013555351,0.000020480107,0.00013847485],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.998809,0.00001249548,0.0005874527,0.00025069804,0.000051566803,0.0002888273],"domain_scores_gemma":[0.99942964,0.000031788426,0.00030393453,0.00013860967,0.000035503665,0.000060545437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006560911,0.00014974932,0.00034830743,0.0003524531,0.00014573947,0.0001694053,0.00012250789,0.00005852173,0.000024655668],"category_scores_gemma":[0.0000100286625,0.00015856171,0.0000997415,0.0002394805,0.0000727508,0.0008008311,0.000022752633,0.00020694712,0.000074066265],"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":[0.00006448502,0.000072878414,0.017954277,0.00037700767,0.00011243783,0.00036148285,0.005449383,0.000042665175,0.000012388348,0.3827008,0.0029931646,0.589859],"study_design_scores_gemma":[0.0015227627,0.0014991696,0.5806334,0.0012724054,0.0000952931,0.00020025925,0.00085180276,0.01618555,0.00001873906,0.18426085,0.21254568,0.0009140893],"about_ca_topic_score_codex":0.00008906688,"about_ca_topic_score_gemma":0.000014514452,"teacher_disagreement_score":0.5889449,"about_ca_system_score_codex":0.000041582945,"about_ca_system_score_gemma":0.000009210488,"threshold_uncertainty_score":0.6465959},"labels":[],"label_agreement":null},{"id":"W4402323530","doi":"10.1142/s2010139224500101","title":"Effects of Policy Uncertainty on Firm-Level Productivity","year":2024,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; York University","funders":"","keywords":"Productivity; Economics; Agricultural economics; Natural resource economics; Business; Econometrics; Macroeconomics","score_opus":0.016866076775561442,"score_gpt":0.23876301430334484,"score_spread":0.2218969375277834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402323530","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":[0.9857378,0.004019538,0.005102708,0.0012201658,0.0010474116,0.00015386594,0.00011966667,0.000010731632,0.0025881366],"genre_scores_gemma":[0.9982789,0.00016620258,0.00043627617,0.00003837096,0.00031764878,0.000003643516,9.626299e-7,0.000015679514,0.00074229395],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99865973,0.000032554974,0.0007615231,0.0002568539,0.00007450832,0.00021483576],"domain_scores_gemma":[0.99883115,0.00024610633,0.0005388548,0.0002548869,0.000076708755,0.00005231507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091527414,0.0001485414,0.00048397222,0.00035729437,0.00003922871,0.000047025344,0.00023993292,0.00007690394,0.000026410853],"category_scores_gemma":[0.0002596214,0.00014174977,0.00023628716,0.0003905616,0.000063741034,0.00025609235,0.000010715965,0.0003031457,0.000021932925],"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":[0.00053861615,0.0011592669,0.022459755,0.00221321,0.0003794678,0.0001900058,0.004176114,0.00039157158,0.0009443339,0.6448656,0.0046939217,0.31798816],"study_design_scores_gemma":[0.0018667553,0.0059166243,0.41838542,0.0013645684,0.00004172496,0.00010772363,0.000059063907,0.040991984,0.00096547656,0.45576903,0.07373303,0.0007985995],"about_ca_topic_score_codex":0.00012879685,"about_ca_topic_score_gemma":0.000011715139,"teacher_disagreement_score":0.39592567,"about_ca_system_score_codex":0.0001403472,"about_ca_system_score_gemma":0.00011219034,"threshold_uncertainty_score":0.5780388},"labels":[],"label_agreement":null},{"id":"W4411497023","doi":"10.1142/s2010139225500053","title":"Persistence-Based Capital Allocation along the FOMC Cycle","year":2025,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","topic":"Stochastic processes and statistical mechanics","field":"Mathematics","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":"Université Laval","funders":"","keywords":"Persistence (discontinuity); Capital allocation line; Monetary economics; Economics; Capital (architecture); Econometrics; Microeconomics; Geology; Geography","score_opus":0.023386393347009204,"score_gpt":0.28445506062405745,"score_spread":0.26106866727704825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411497023","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15298426,0.00052260037,0.84352267,0.0021130252,0.00036132892,0.0000929906,0.0000050397466,0.00000843696,0.0003896268],"genre_scores_gemma":[0.982554,0.000008682209,0.017014451,0.00017826949,0.0000601927,0.000005252422,3.264879e-7,0.000006362659,0.00017245104],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991038,0.000033070282,0.00040041216,0.00009104251,0.00021917793,0.0001525158],"domain_scores_gemma":[0.99863064,0.0006196653,0.0002797661,0.0001703318,0.00027113064,0.000028457094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034696443,0.000093643124,0.00018749715,0.00005182784,0.00011447983,0.00004272918,0.0002796627,0.000043865304,0.000015976437],"category_scores_gemma":[0.00041351217,0.000062754814,0.00009763489,0.00016966341,0.000049058155,0.000089802685,0.000005836971,0.00018437594,0.0000071821432],"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":[0.000115905226,0.00020152757,0.000036590896,0.00018842654,0.000059827977,0.000037270056,0.0021181495,0.00012757814,0.00029270432,0.92689306,0.0035099236,0.06641904],"study_design_scores_gemma":[0.0009336954,0.0010981783,0.0010775499,0.00057058106,0.00013742845,0.00005951616,0.0017861994,0.020815272,0.0004944368,0.9721852,0.00068342587,0.0001585078],"about_ca_topic_score_codex":0.0000061263577,"about_ca_topic_score_gemma":0.000020076746,"teacher_disagreement_score":0.82956976,"about_ca_system_score_codex":0.000042746815,"about_ca_system_score_gemma":0.00018703844,"threshold_uncertainty_score":0.25590673},"labels":[],"label_agreement":null}]}