{"meta":{"query_hash":"8568c07b40f8","filters":{"venue":"Financial Management"},"cohort_total":63,"direct_labels_cover":0,"predictions_cover":63,"exported":63,"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/8568c07b40f8","api":"https://metacan.xera.ac/api/v1/cohort?venue=Financial+Management"},"results":[{"id":"W1538207042","doi":"10.1111/fima.12115","title":"The Global Financial Crisis, Family Control, and Dividend Policy","year":2015,"lang":"en","type":"article","venue":"Financial Management","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":149,"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; Saint Mary's University","funders":"","keywords":"Incentive; Financial crisis; Dividend policy; Dividend; Control (management); Business; Monetary economics; Dividend payout ratio; Hysteresis; Financial system; Finance; Economics; Market economy; Macroeconomics","score_opus":0.0150857849931491,"score_gpt":0.22093897303671722,"score_spread":0.2058531880435681,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1538207042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99853444,0.00020168831,0.000027773178,0.00016011653,0.0000025826873,0.000001409391,0.00022036735,0.0000010580875,0.0008504609],"genre_scores_gemma":[0.9995678,0.0001288206,0.000012472766,0.000020014224,0.000003155336,0.0000011189309,0.00018377867,5.390314e-7,0.000082365485],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999734,0.00008290677,0.000020141522,0.00004090023,0.0000385649,0.000083465595],"domain_scores_gemma":[0.99556977,0.0008783605,0.0026763314,0.00015416037,0.00018603129,0.00053537864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073582423,0.00014865663,0.00017727494,0.00078626926,0.00032528883,0.0008775222,0.00014055328,0.00028263137,0.001734251],"category_scores_gemma":[0.0036867177,0.00007475378,0.00013844101,0.0013753598,0.000654236,0.00063476793,0.0006413162,0.0005122882,0.00012136295],"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":[0.000036933852,0.000020405976,0.9967637,0.0000052734918,0.000019101592,0.00004467207,0.00028405414,0.00013564841,0.0000405939,0.00022642473,0.00017133441,0.0022517825],"study_design_scores_gemma":[0.0000018879766,0.000009873364,0.9988632,0.000010064451,0.000006914446,0.000030652416,0.00054251746,0.00012694475,0.000033328586,0.00010787139,0.00026456322,0.0000022119043],"about_ca_topic_score_codex":0.018170154,"about_ca_topic_score_gemma":0.027393876,"teacher_disagreement_score":0.018170154,"about_ca_system_score_codex":0.0005429589,"about_ca_system_score_gemma":0.00040075296,"threshold_uncertainty_score":0.03612876},"labels":[],"label_agreement":null},{"id":"W1590663290","doi":"10.1111/fima.12018","title":"Corporate Payout Policy, Cash Savings, and the Cost of Consistency: Evidence from a Structural Estimation","year":2013,"lang":"en","type":"article","venue":"Financial Management","topic":"Corporate Finance and Governance","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":"Wilfrid Laurier University; University of Toronto","funders":"","keywords":"Volatility (finance); Dividend payout ratio; Cash flow; Equity (law); Structural estimation; Dividend; Cash; Econometrics; Business; Monetary economics; Economics; Corporate finance; Investment (military); Finance; Dividend policy","score_opus":0.022556456438920208,"score_gpt":0.21557173588213766,"score_spread":0.19301527944321745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1590663290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9781526,0.00061353843,0.017071625,0.0015794078,0.000026115238,0.00004228738,0.00025907942,0.00008235235,0.0021729271],"genre_scores_gemma":[0.99739444,0.00024465437,0.0016465711,0.00007415943,0.000025372343,0.000012930667,0.00024405314,0.000010763252,0.0003470445],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99602664,0.0025994526,0.0002001392,0.00052407,0.00028770888,0.00036193142],"domain_scores_gemma":[0.8583472,0.10815361,0.02478854,0.0059238346,0.0016465142,0.0011403782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009575517,0.00066390325,0.0011683328,0.00087902095,0.00076975167,0.0021915492,0.0015107738,0.0015330504,0.0040636947],"category_scores_gemma":[0.05146014,0.00065966934,0.0011870435,0.0011452264,0.0014235481,0.0018234514,0.0016265151,0.0024632507,0.00036123657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021001876,0.0018682376,0.5670307,0.00034883822,0.0024186133,0.00047749953,0.0009914464,0.27937797,0.0015812597,0.088190205,0.003763187,0.05185184],"study_design_scores_gemma":[0.0005551131,0.0010107505,0.13238226,0.00012356386,0.0011445148,0.00016339793,0.0005317254,0.77594674,0.0016137296,0.08371461,0.0027053033,0.000108246706],"about_ca_topic_score_codex":0.014205983,"about_ca_topic_score_gemma":0.013560778,"teacher_disagreement_score":0.014205983,"about_ca_system_score_codex":0.0018359525,"about_ca_system_score_gemma":0.0013528888,"threshold_uncertainty_score":0.05064076},"labels":[],"label_agreement":null},{"id":"W1844575659","doi":"10.1111/fima.12046","title":"Organizational Capital and Investment‐Cash Flow Sensitivity: The Effect of Management Quality Practices","year":2013,"lang":"en","type":"article","venue":"Financial Management","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Cash flow; Organizational capital; Business; Investment (military); Working capital; Capital (architecture); Finance; Monetary economics; Economics; Intellectual capital","score_opus":0.010577243153313735,"score_gpt":0.21427810014279647,"score_spread":0.20370085698948273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1844575659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972282,0.0002087195,0.00056936935,0.00012309354,0.0000049350806,0.000014778221,0.000041102638,0.000005654899,0.0018040977],"genre_scores_gemma":[0.99953914,0.000034908255,0.00014364207,0.00002785027,0.0000050952153,0.00000367384,0.000022724269,0.0000015457335,0.00022142478],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972894,0.0012576099,0.00018734908,0.00034474302,0.00053589384,0.000384911],"domain_scores_gemma":[0.8873445,0.05991591,0.04226111,0.004881844,0.0020443038,0.003552366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003524852,0.00029522777,0.00032011786,0.00054413703,0.0003312742,0.001860751,0.00040120154,0.0007257195,0.0029556565],"category_scores_gemma":[0.028199477,0.00015945986,0.0002941035,0.00058004115,0.0010635878,0.00083026855,0.0010814201,0.00090649794,0.00022573187],"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":[0.0005500229,0.00083403307,0.9736466,0.0000596129,0.00045012796,0.00012127028,0.0006976653,0.0024785954,0.0045588287,0.0009687422,0.00011697068,0.0155175505],"study_design_scores_gemma":[0.000010956062,0.00027598423,0.99722666,0.000015102834,0.000051511714,0.000027447093,0.00025096055,0.0008653509,0.00055248727,0.0004884774,0.00022701109,0.0000079534375],"about_ca_topic_score_codex":0.0023869027,"about_ca_topic_score_gemma":0.0027245888,"teacher_disagreement_score":0.003524852,"about_ca_system_score_codex":0.00080138113,"about_ca_system_score_gemma":0.00047429086,"threshold_uncertainty_score":0.018641412},"labels":[],"label_agreement":null},{"id":"W1978404073","doi":"10.1111/j.1755-053x.2012.01197.x","title":"What's in a “China” Name? A Test of Investor Attention Hypothesis","year":2012,"lang":"en","type":"article","venue":"Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; York University","funders":"","keywords":"China; Boom; Business; Stock (firearms); Financial economics; Market liquidity; Valuation (finance); Monetary economics; Economics; Finance; Geography","score_opus":0.027448983683634617,"score_gpt":0.20109653072866945,"score_spread":0.17364754704503482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978404073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980709,0.00007103807,0.000084834915,0.00024409407,0.000008210732,0.0000052961627,0.000033243443,0.0000019002127,0.0014805698],"genre_scores_gemma":[0.99949646,0.000026060614,0.000026703392,0.00008320887,0.000022038232,0.0000033446424,0.000048724934,9.655582e-7,0.00029253037],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99934286,0.00018335153,0.000043252414,0.0001472351,0.000116324125,0.00016704365],"domain_scores_gemma":[0.97692925,0.012499523,0.007531828,0.00079823186,0.0006092243,0.0016319555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019191599,0.00024838018,0.00046369934,0.0005581766,0.00046404358,0.0011946548,0.0005933789,0.0009995935,0.0055806926],"category_scores_gemma":[0.011172446,0.00011418617,0.0004892759,0.0006083061,0.0009069726,0.0016665371,0.00075624615,0.0006964755,0.00033944318],"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":[0.0009209545,0.00046444323,0.9834516,0.00003921768,0.00022976013,0.00036734057,0.00087501557,0.0004124976,0.002010265,0.0011816851,0.00057302346,0.009474181],"study_design_scores_gemma":[0.000055239903,0.00032392814,0.99398005,0.0000068745435,0.00012239227,0.000074314565,0.000893292,0.0028524604,0.00049343426,0.00082554575,0.0003625623,0.000009897228],"about_ca_topic_score_codex":0.0071874424,"about_ca_topic_score_gemma":0.003920207,"teacher_disagreement_score":0.0071874424,"about_ca_system_score_codex":0.00052368984,"about_ca_system_score_gemma":0.00042695997,"threshold_uncertainty_score":0.018669307},"labels":[],"label_agreement":null},{"id":"W1979161935","doi":"10.1111/j.1755-053x.2008.00015.x","title":"Capital Structure Choice in a Nascent Market: Evidence from Listed Firms in China","year":2008,"lang":"en","type":"article","venue":"Financial Management","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":94,"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":"Business; Profitability index; Capital structure; Monetary economics; Debt; China; Stock market; Information asymmetry; Capital market; Debt ratio; Financial system; Finance; Economics","score_opus":0.01335943230845254,"score_gpt":0.19989147683585665,"score_spread":0.1865320445274041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979161935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99968326,0.00004448488,0.000009082668,0.00003111866,4.3174853e-7,0.0000023615478,0.000057389454,4.1037043e-7,0.00017134502],"genre_scores_gemma":[0.9995542,0.00005152992,0.000012249542,0.000018089635,0.0000023742607,0.0000018116283,0.00019819067,3.07681e-7,0.00016120456],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99974376,0.00003497522,0.00002052592,0.00004324757,0.000063229054,0.00009422052],"domain_scores_gemma":[0.9944707,0.00071832293,0.0031940998,0.00021215167,0.0004951163,0.0009096523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009363983,0.00017179041,0.0002476148,0.0010632606,0.00075642957,0.000867721,0.00045714137,0.00046724943,0.0015240336],"category_scores_gemma":[0.0021031348,0.00018137624,0.0001876256,0.0011804659,0.0008437395,0.00090812444,0.0007328162,0.0003797757,0.00016999278],"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":[0.000059804457,0.0000784414,0.995971,0.000009121617,0.000014298994,0.0001646205,0.00091893197,0.000114001894,0.0002840403,0.00015067522,0.00012704545,0.0021079516],"study_design_scores_gemma":[0.0000067475194,0.000035489258,0.9987727,0.000003615605,0.000006115906,0.000027931863,0.0004593162,0.0003759043,0.000080746264,0.000051338957,0.00017641818,0.00000369385],"about_ca_topic_score_codex":0.08185628,"about_ca_topic_score_gemma":0.15349165,"teacher_disagreement_score":0.08185628,"about_ca_system_score_codex":0.0013214421,"about_ca_system_score_gemma":0.0009837276,"threshold_uncertainty_score":0.16275966},"labels":[],"label_agreement":null},{"id":"W1985580141","doi":"10.1111/j.1755-053x.2007.tb00086.x","title":"IPO Underpricing, Firm Quality, and Analyst Forecasts","year":2007,"lang":"en","type":"article","venue":"Financial Management","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":61,"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 Manitoba","funders":"","keywords":"Initial public offering; Earnings before interest, taxes, depreciation, and amortization; Accrual; Earnings; Business; Earnings management; Earnings quality; Monetary economics; Quality (philosophy); Earnings growth; Accounting; Economics","score_opus":0.019348982733382977,"score_gpt":0.2525723401167596,"score_spread":0.23322335738337663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985580141","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980767,0.00012167313,0.00023947588,0.00016764524,0.0000040972673,0.0000044785274,0.00013306615,0.000007077877,0.0012457962],"genre_scores_gemma":[0.99952054,0.000038560232,0.00005799086,0.000012752515,0.00001165483,0.000001073955,0.000109092456,0.0000016489773,0.00024663526],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992415,0.00016334855,0.00009057627,0.000113937174,0.00025933553,0.00013136957],"domain_scores_gemma":[0.91881496,0.026396673,0.04692535,0.0020900362,0.0026120013,0.0031608925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002160402,0.00021535643,0.00025511294,0.00082748284,0.00021986343,0.0012929222,0.00022891795,0.00052181457,0.003942597],"category_scores_gemma":[0.02227774,0.00013334141,0.00022306091,0.0009808718,0.00057831826,0.0010061752,0.0006689557,0.0007117904,0.00036712637],"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":[0.000059610225,0.000040761748,0.9965486,0.0000066202824,0.00004032099,0.000043589735,0.000072868716,0.00058275217,0.00018877957,0.00012018995,0.00011880577,0.002177243],"study_design_scores_gemma":[0.0000043130326,0.000056782836,0.996705,0.000007192176,0.000028290751,0.000092146365,0.000110821304,0.0021922851,0.0002472622,0.00034811383,0.00020346898,0.0000044710755],"about_ca_topic_score_codex":0.0038337563,"about_ca_topic_score_gemma":0.003156838,"teacher_disagreement_score":0.003942597,"about_ca_system_score_codex":0.00041207587,"about_ca_system_score_gemma":0.0003890859,"threshold_uncertainty_score":0.013189316},"labels":[],"label_agreement":null},{"id":"W1989032076","doi":"10.1111/j.1755-053x.2010.01102.x","title":"A Law and Finance Analysis of Hedge Funds","year":2010,"lang":"en","type":"article","venue":"Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Capitalization; Hedge fund; Key (lock); Business; Service provider; Service (business); Performance fee; Finance; Actuarial science; Econometrics; Economics; Open-end fund; Computer science; Institutional investor; Marketing; Corporate governance; Computer security","score_opus":0.014797848555585585,"score_gpt":0.20162131473412206,"score_spread":0.18682346617853648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989032076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5191746,0.022730317,0.18060389,0.033457883,0.0002960227,0.00014332392,0.0005437947,0.00019737321,0.2428528],"genre_scores_gemma":[0.985827,0.0029241862,0.0036261096,0.00047746339,0.00038285108,0.0000485801,0.0000761846,0.0000146471675,0.006622926],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990356,0.00034991818,0.000035842997,0.000087753695,0.00037099698,0.00011991614],"domain_scores_gemma":[0.99498785,0.0034188663,0.00074164337,0.0002553314,0.00043938903,0.00015692573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023521818,0.0002259571,0.00044304674,0.0017230387,0.00084700587,0.002269673,0.0004705314,0.0014921601,0.003299042],"category_scores_gemma":[0.014000328,0.0001969278,0.0004615128,0.0012896445,0.002920824,0.0031979943,0.0008098859,0.0014904767,0.00025512947],"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":[0.00001970468,0.000034672215,0.0032303762,0.000029609637,0.000013134059,0.00012570247,0.00012169589,0.010448119,0.00019570654,0.97179836,0.001812318,0.012170652],"study_design_scores_gemma":[0.000028009836,0.000069117064,0.0050511,0.000058504913,0.000018428518,0.00017181241,0.000116825235,0.048423637,0.00027989928,0.9290383,0.016727049,0.000017440616],"about_ca_topic_score_codex":0.0037848388,"about_ca_topic_score_gemma":0.0015040403,"teacher_disagreement_score":0.0037848388,"about_ca_system_score_codex":0.0019838146,"about_ca_system_score_gemma":0.0011617313,"threshold_uncertainty_score":0.014393687},"labels":[],"label_agreement":null},{"id":"W1995474353","doi":"10.1111/j.1755-053x.2009.01055.x","title":"Determinants of the Size and Composition of US Corporate Boards: 1935‐2000","year":2009,"lang":"en","type":"article","venue":"Financial Management","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":451,"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":"Composition (language); Business; Accounting; Sample (material); Econometrics; Economics","score_opus":0.011142400360333699,"score_gpt":0.19489216719158958,"score_spread":0.18374976683125588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995474353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971597,0.00024787683,0.000081904975,0.0001675826,0.0000063295574,0.00000932393,0.0005546523,0.000004139075,0.001768585],"genre_scores_gemma":[0.9983329,0.00015805839,0.000047876318,0.00003610973,0.000014742044,0.000005587045,0.0007928417,0.0000014783371,0.0006104385],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997813,0.000023466238,0.000017438395,0.00003575329,0.000052325842,0.00008974167],"domain_scores_gemma":[0.9945412,0.00046890884,0.0031186563,0.00017473391,0.0008287411,0.00086768286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007090198,0.00014191156,0.00012463138,0.0010879547,0.00035207928,0.00064712623,0.00024715345,0.00031816724,0.0027892287],"category_scores_gemma":[0.00407948,0.00012372436,0.000101970276,0.0010420182,0.0003805486,0.00051412947,0.00047532862,0.00055508007,0.00048736462],"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":[0.00007856514,0.00005703381,0.986007,0.000012036709,0.000013951367,0.000075769676,0.00042806886,0.0002604924,0.0004913933,0.0002614698,0.0011935787,0.011120577],"study_design_scores_gemma":[0.0000013764234,0.000011661636,0.99901164,0.000004867885,0.0000027768529,0.000020394267,0.00010716816,0.00006172724,0.00008493512,0.00002449556,0.00066788204,0.0000010667065],"about_ca_topic_score_codex":0.033803646,"about_ca_topic_score_gemma":0.056073774,"teacher_disagreement_score":0.033803646,"about_ca_system_score_codex":0.00092451595,"about_ca_system_score_gemma":0.0002993151,"threshold_uncertainty_score":0.067213774},"labels":[],"label_agreement":null},{"id":"W1995608282","doi":"10.1111/j.1755-053x.2009.01064.x","title":"Shareholder Value: Principles, Declarations, and Actions","year":2010,"lang":"en","type":"article","venue":"Financial Management","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":53,"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":"Shareholder; Shareholder value; Business; Accounting; Sample (material); Value (mathematics); Stock price; Stock (firearms); Welfare; Large sample; Monetary economics; Finance; Economics; Corporate governance; Market economy","score_opus":0.031107192472617753,"score_gpt":0.2224704372792243,"score_spread":0.19136324480660655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995608282","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020992462,0.039327595,0.11630514,0.24168542,0.005368458,0.0003050535,0.00028642642,0.00022675381,0.5755027],"genre_scores_gemma":[0.8209521,0.01807098,0.047626738,0.032499224,0.0055137454,0.00085058284,0.00030195995,0.00022088131,0.0739638],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9800127,0.009240918,0.0016185752,0.0012215939,0.006853449,0.0010527299],"domain_scores_gemma":[0.9847119,0.008017256,0.0023413904,0.0017411298,0.0024645606,0.0007238405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020776402,0.000678974,0.00057791267,0.0018849774,0.0034422989,0.012669541,0.0015871796,0.007927359,0.0022595408],"category_scores_gemma":[0.026513124,0.0005182358,0.00032252228,0.0022494583,0.03160306,0.011002446,0.004710147,0.007895129,0.0012161579],"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":[0.0000059510776,0.0000081626,0.00021574435,0.000040245908,0.0000033263793,0.000025126015,0.0013033173,0.000112957954,0.00010418656,0.97985095,0.006295144,0.012034769],"study_design_scores_gemma":[0.000007801075,0.000019243726,0.00039620168,0.00038984494,0.00000559791,0.000093999864,0.0008470846,0.00023901985,0.00027994078,0.83904755,0.15865217,0.000021599008],"about_ca_topic_score_codex":0.0016624911,"about_ca_topic_score_gemma":0.0017961509,"teacher_disagreement_score":0.020776402,"about_ca_system_score_codex":0.0029581406,"about_ca_system_score_gemma":0.0064692115,"threshold_uncertainty_score":0.10987747},"labels":[],"label_agreement":null},{"id":"W1995696035","doi":"10.1111/j.1755-053x.2005.tb00120.x","title":"Debt Maturity Structure and Firm Investment","year":2005,"lang":"en","type":"article","venue":"Financial Management","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":153,"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 Toronto","funders":"","keywords":"Leverage (statistics); Endogeneity; Debt; Maturity (psychological); Monetary economics; Investment (military); Debt ratio; Capital structure; Debt-to-capital ratio; Business; Economics; Finance; Econometrics","score_opus":0.00788115262104025,"score_gpt":0.1862101696229549,"score_spread":0.17832901700191464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995696035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915228,0.0006334905,0.0006647585,0.0002709526,0.0000032072278,0.000009663068,0.00019057824,0.000008397254,0.0066961492],"genre_scores_gemma":[0.9990578,0.00010824715,0.00008202504,0.000010833199,0.000004011695,0.0000018490218,0.00012759973,0.0000012654505,0.00060626434],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997098,0.0000766026,0.00002531601,0.00003543756,0.00006678301,0.00008614485],"domain_scores_gemma":[0.9920476,0.0020006693,0.004619463,0.00017380001,0.0003745812,0.00078400207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063883,0.00013187627,0.00013653419,0.00051495194,0.00016060048,0.0012441113,0.00015858359,0.00030843538,0.0025249238],"category_scores_gemma":[0.006367904,0.000092073664,0.00009596157,0.000755171,0.00022290145,0.000781257,0.00047950627,0.0006173198,0.00030040034],"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":[0.00014923504,0.00014093627,0.9658212,0.000030236302,0.00006551746,0.00018925048,0.00021681188,0.0028858338,0.00248422,0.010146449,0.00042548234,0.01744481],"study_design_scores_gemma":[0.0000141934415,0.00015108373,0.9836375,0.0000375261,0.000031145053,0.00032717164,0.00021871201,0.004904304,0.0014445467,0.0069120233,0.0023104171,0.000011399706],"about_ca_topic_score_codex":0.0010597283,"about_ca_topic_score_gemma":0.0015805209,"teacher_disagreement_score":0.0025249238,"about_ca_system_score_codex":0.00084891595,"about_ca_system_score_gemma":0.00027294795,"threshold_uncertainty_score":0.008446693},"labels":[],"label_agreement":null},{"id":"W2028924256","doi":"10.1111/j.1755-053x.2010.01140.x","title":"Underwriter Quality and Long‐Run IPO Performance","year":2011,"lang":"en","type":"article","venue":"Financial Management","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":"University of Calgary; HEC Montréal; York University","funders":"","keywords":"Underwriting; Reputation; Initial public offering; Certification; Business; Production (economics); Quality (philosophy); Investment banking; Investment (military); Actuarial science; Finance; Economics; Microeconomics","score_opus":0.0501276593710524,"score_gpt":0.2239359524588997,"score_spread":0.1738082930878473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028924256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99867105,0.00020859732,0.000215802,0.000119878794,0.0000033751685,0.0000050708704,0.00014061306,0.000006645857,0.0006289624],"genre_scores_gemma":[0.99941635,0.00005374474,0.000035003668,0.0000073973797,0.000016347041,0.0000015182948,0.00020129066,0.0000015050834,0.00026684464],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993981,0.00011526697,0.000055694727,0.00008048627,0.00013562274,0.00021495741],"domain_scores_gemma":[0.95491135,0.009794198,0.027249847,0.0011157315,0.0022197303,0.0047091055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002332539,0.0003233921,0.00029750288,0.00085716,0.00026140932,0.0017707733,0.0004047787,0.00079317036,0.0021694822],"category_scores_gemma":[0.011585316,0.00014595843,0.0003587809,0.0009203978,0.0006271381,0.0010794541,0.0009614881,0.0013096038,0.0004504665],"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":[0.00016264957,0.0001478951,0.99344385,0.000010823967,0.0001099322,0.000087150416,0.000075613316,0.0020689066,0.0005033598,0.00027835576,0.00016287775,0.0029486814],"study_design_scores_gemma":[0.000009605253,0.00030619532,0.99448425,0.000009350437,0.000054828208,0.0000732837,0.000122027675,0.0036651623,0.0005762022,0.00047481706,0.00021066221,0.000013582494],"about_ca_topic_score_codex":0.003433142,"about_ca_topic_score_gemma":0.0041745673,"teacher_disagreement_score":0.003433142,"about_ca_system_score_codex":0.0006546773,"about_ca_system_score_gemma":0.0003991035,"threshold_uncertainty_score":0.012335777},"labels":[],"label_agreement":null},{"id":"W2033757196","doi":"10.1111/j.1755-053x.2011.01164.x","title":"When Do Vertical Mergers Create Value?","year":2011,"lang":"en","type":"article","venue":"Financial Management","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Victoria Park","funders":"","keywords":"Vertical integration; Value (mathematics); Asset (computer security); Industrial organization; Horizontal and vertical; Business; Economics; Microeconomics; Monetary economics; Financial economics; Computer science","score_opus":0.02247250522521186,"score_gpt":0.19141947750792998,"score_spread":0.16894697228271813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033757196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8533511,0.009188909,0.0042303298,0.025545856,0.00043721474,0.000058716494,0.00024631943,0.0000517245,0.106889814],"genre_scores_gemma":[0.9962902,0.0010710325,0.00029462707,0.0004978985,0.00021410365,0.000009309813,0.000043407792,0.000010667505,0.0015688371],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991085,0.00023019838,0.000035298934,0.00008445772,0.00033873325,0.00020281311],"domain_scores_gemma":[0.9909238,0.0038301242,0.00296702,0.00032434263,0.00092131895,0.0010334597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015359363,0.00016358554,0.00031566073,0.0008276957,0.0005128109,0.0040420396,0.00035514208,0.0012910425,0.005990362],"category_scores_gemma":[0.016643612,0.0001843694,0.00017137028,0.0009006101,0.0018967547,0.0053855916,0.0010683816,0.0010513068,0.00082165166],"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":[0.0014788127,0.0004719702,0.21122907,0.00068465865,0.00027784434,0.0019976255,0.0075540044,0.0019725682,0.0090304,0.35752127,0.02031544,0.38746634],"study_design_scores_gemma":[0.0002288479,0.0006945335,0.28073263,0.0007544182,0.00012621512,0.0014072784,0.024874354,0.0036291536,0.0049950546,0.60086614,0.0815858,0.00010560885],"about_ca_topic_score_codex":0.0006239676,"about_ca_topic_score_gemma":0.0009699584,"teacher_disagreement_score":0.005990362,"about_ca_system_score_codex":0.0012189304,"about_ca_system_score_gemma":0.0006824252,"threshold_uncertainty_score":0.020039737},"labels":[],"label_agreement":null},{"id":"W2035600276","doi":"10.1111/j.1755-053x.2008.00024.x","title":"The Impact of Past Syndicate Alliances on the Consolidation of Financial Institutions","year":2008,"lang":"en","type":"article","venue":"Financial Management","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Université de Sherbrooke","funders":"","keywords":"Syndicate; Business; Consolidation (business); Loan; Syndicated loan; Cash; Divestment; Equity (law); Payment; Financial system; Monetary economics; Earnings; Mergers and acquisitions; Finance; Economics","score_opus":0.043824022083966685,"score_gpt":0.25494285907977243,"score_spread":0.21111883699580575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035600276","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99835485,0.00016902071,0.00013016418,0.00010700858,0.0000035985813,0.0000056191548,0.000052402538,0.000004869145,0.0011724993],"genre_scores_gemma":[0.99944466,0.000042430594,0.000032800268,0.0000086108985,0.000010582773,0.0000019742627,0.00006506952,7.5747766e-7,0.00039322395],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968285,0.0011091608,0.00035453986,0.0004682154,0.00052096293,0.00071852934],"domain_scores_gemma":[0.90738064,0.03944506,0.036831986,0.003928197,0.0028517381,0.009562348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045915204,0.00023199723,0.0005490784,0.0011455733,0.0006456868,0.0028656607,0.0006235437,0.0008605012,0.006558474],"category_scores_gemma":[0.029890785,0.00016166754,0.00048180696,0.0010398296,0.0014039871,0.0015577578,0.0018859952,0.0010961546,0.0004961901],"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":[0.00043223792,0.0003188307,0.9858828,0.000014107733,0.00013175141,0.00016361987,0.00011006499,0.0018360144,0.00041919615,0.0006179928,0.00012893206,0.00994436],"study_design_scores_gemma":[0.000011505712,0.00053274474,0.9949568,0.000008826212,0.00007386418,0.00009929186,0.00041087446,0.0027699985,0.0004246567,0.000450075,0.00025190978,0.000009426579],"about_ca_topic_score_codex":0.004355857,"about_ca_topic_score_gemma":0.005618182,"teacher_disagreement_score":0.006558474,"about_ca_system_score_codex":0.0010322419,"about_ca_system_score_gemma":0.00066987344,"threshold_uncertainty_score":0.024282575},"labels":[],"label_agreement":null},{"id":"W2036553423","doi":"10.1111/j.1755-053x.2010.01073.x","title":"Do Lead Banks Exploit Syndicate Participants? Evidence from Ex Post Risk","year":2010,"lang":"en","type":"article","venue":"Financial Management","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Imperial Bank of Commerce (Canada)","funders":"","keywords":"Syndicate; Web syndication; Business; Exploit; Loan; Proxy (statistics); Financial system; Private information retrieval; Syndicated loan; Finance; Venture capital","score_opus":0.03996569814063383,"score_gpt":0.24617705736504464,"score_spread":0.2062113592244108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036553423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99496573,0.00017476016,0.0005179514,0.0006660275,0.000005515098,0.000016626494,0.00008363417,0.000012157177,0.0035576741],"genre_scores_gemma":[0.99885,0.00009108857,0.00009060488,0.00008728048,0.0000141175415,0.000009028482,0.00004518113,0.0000016504332,0.00081098336],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99768865,0.0009117398,0.00019107077,0.00037820957,0.00041061876,0.00041970375],"domain_scores_gemma":[0.90292954,0.036673,0.04665431,0.0077094515,0.002074213,0.00395949],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052274875,0.00017907422,0.0003972415,0.0005189219,0.0006608713,0.002279247,0.0006183983,0.001605404,0.011222327],"category_scores_gemma":[0.029017432,0.0003741359,0.00023585884,0.00070607784,0.0012736074,0.0020530887,0.001715182,0.0011406889,0.0013000991],"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":[0.0020759236,0.0010481878,0.94327426,0.00007616912,0.00021082215,0.00049033464,0.0023735787,0.0010318048,0.0016325017,0.0051852874,0.0015757125,0.041025497],"study_design_scores_gemma":[0.00037967387,0.00080619083,0.9745116,0.00005904434,0.00017353518,0.00070507056,0.003200721,0.0048459554,0.0019140085,0.009705456,0.0036578667,0.00004082727],"about_ca_topic_score_codex":0.0015960345,"about_ca_topic_score_gemma":0.0014013015,"teacher_disagreement_score":0.011222327,"about_ca_system_score_codex":0.00029879963,"about_ca_system_score_gemma":0.00033339826,"threshold_uncertainty_score":0.037542462},"labels":[],"label_agreement":null},{"id":"W2043265533","doi":"10.1111/j.1755-053x.2005.tb00103.x","title":"The Information Content of Insider Call Options Trading","year":2005,"lang":"en","type":"article","venue":"Financial Management","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 Toronto","funders":"","keywords":"Insider trading; Insider; Business; Stock (firearms); Monetary economics; Stock price; Price discovery; Finance; Economics; Futures contract","score_opus":0.039370352950924156,"score_gpt":0.200971657676961,"score_spread":0.16160130472603684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043265533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99344736,0.0003497438,0.0013504627,0.00026272854,0.0000069407215,0.000008110905,0.000180245,0.000023663119,0.004370705],"genre_scores_gemma":[0.99905366,0.00012594531,0.00026383175,0.000024216692,0.000023748027,0.0000036873103,0.00015141627,0.000005720819,0.00034775794],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993326,0.00019562582,0.00004752257,0.00009124015,0.00023921605,0.00009379143],"domain_scores_gemma":[0.95948404,0.031180557,0.005914911,0.0013785855,0.0014482035,0.0005937727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014635029,0.00021498466,0.00049145357,0.0013772236,0.00021677543,0.0018004656,0.00038328426,0.0007952183,0.0031345347],"category_scores_gemma":[0.030331943,0.00020624915,0.00019792229,0.001165369,0.00059219636,0.0028763043,0.0005778141,0.0007917367,0.0003034145],"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":[0.004210749,0.0013090651,0.56791997,0.00077969965,0.00066919194,0.0026439861,0.002963706,0.05716268,0.11396305,0.05275363,0.0033878426,0.19223654],"study_design_scores_gemma":[0.00008822218,0.0004392523,0.808483,0.0001121961,0.0002786526,0.0012845166,0.000756582,0.13658632,0.017827317,0.031740323,0.0022535124,0.00015013498],"about_ca_topic_score_codex":0.0010221389,"about_ca_topic_score_gemma":0.00052960566,"teacher_disagreement_score":0.0031345347,"about_ca_system_score_codex":0.0005205617,"about_ca_system_score_gemma":0.00023855946,"threshold_uncertainty_score":0.010486126},"labels":[],"label_agreement":null},{"id":"W2046981474","doi":"10.1111/j.1755-053x.2010.01109.x","title":"Excess Cash and Stock Returns","year":2010,"lang":"en","type":"article","venue":"Financial Management","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":20,"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 Toronto; University of British Columbia","funders":"","keywords":"Excess return; Cash; Profitability index; Monetary economics; Stock (firearms); Proxy (statistics); Operating cash flow; Economics; Business; Cash and cash equivalents; Stock market; Cash management; Cash on cash return; Financial economics; Finance","score_opus":0.0099618210563327,"score_gpt":0.19655431745145935,"score_spread":0.18659249639512665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046981474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99248934,0.0018116869,0.00024559023,0.00042102378,0.000017717539,0.0000037546165,0.00036769183,0.000014453217,0.0046286895],"genre_scores_gemma":[0.9985806,0.0004115767,0.00007306572,0.000031524018,0.00003541833,0.0000018490836,0.00022053164,0.0000018396504,0.00064368936],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997305,0.00006158514,0.000030386364,0.000041991567,0.00007316179,0.000062331885],"domain_scores_gemma":[0.9881295,0.003940979,0.006081195,0.00038172462,0.0005572643,0.00090926926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006417998,0.00022181259,0.00018996268,0.001436902,0.00019531792,0.0011661623,0.00019623109,0.0004150603,0.0057887775],"category_scores_gemma":[0.009744163,0.000110167595,0.00017952832,0.00086683256,0.0003615999,0.0010715235,0.00056551036,0.00046757355,0.00058070937],"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":[0.0004232432,0.00009855369,0.97648096,0.000043356034,0.00015820339,0.0002591522,0.00012115817,0.0013513224,0.00045084025,0.0032559123,0.0007206723,0.016636591],"study_design_scores_gemma":[0.000014562622,0.0001271141,0.98998183,0.00003670303,0.00005923352,0.00041121722,0.00013095653,0.0013654921,0.0003277623,0.0059118737,0.0016147472,0.00001842026],"about_ca_topic_score_codex":0.0013030067,"about_ca_topic_score_gemma":0.0012788062,"teacher_disagreement_score":0.0057887775,"about_ca_system_score_codex":0.00033497246,"about_ca_system_score_gemma":0.00016038028,"threshold_uncertainty_score":0.01936537},"labels":[],"label_agreement":null},{"id":"W2056304863","doi":"10.1111/j.1755-053x.2009.01053.x","title":"Prebid Run‐Ups Ahead of Canadian Takeovers: How Big Is the Problem?","year":2009,"lang":"en","type":"article","venue":"Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Insider trading; Insider; Business; Inside information; Alternative trading system; Monetary economics; Algorithmic trading; Volume (thermodynamics); Private information retrieval; High-frequency trading; Trading strategy; Financial economics; Economics; Finance; Law; Computer security; Political science; Computer science","score_opus":0.030176090224928263,"score_gpt":0.18514958037098295,"score_spread":0.1549734901460547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056304863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929541,0.0011192277,0.00016265793,0.0011237492,0.000018537618,0.000009685651,0.0012899289,0.000016139864,0.0033059441],"genre_scores_gemma":[0.99773407,0.00032448152,0.00004838817,0.000045449626,0.000022130298,0.0000015429245,0.0007375909,0.0000027194485,0.0010836059],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995548,0.000013805993,0.00001443804,0.00004754465,0.00020139941,0.00016800179],"domain_scores_gemma":[0.99640626,0.0003943445,0.0017830773,0.00008939685,0.0009491059,0.0003778764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049745,0.00023184862,0.00028118672,0.0012482278,0.00094773865,0.002025308,0.00050524535,0.0006198909,0.0019930634],"category_scores_gemma":[0.0035944802,0.0001422592,0.0002720337,0.0013702981,0.00042123804,0.0007925772,0.00054584525,0.0007829365,0.0002665536],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025965247,0.000053006668,0.9698158,0.00004492255,0.00005763661,0.00047061424,0.0009918044,0.0013919479,0.00068367703,0.0008743057,0.0027831458,0.022573518],"study_design_scores_gemma":[0.0000030065085,0.000023780685,0.99545103,0.0000120702825,0.00001688873,0.000045273166,0.00072769105,0.0012358429,0.00030332926,0.00014311039,0.0020235907,0.000014334908],"about_ca_topic_score_codex":0.83193046,"about_ca_topic_score_gemma":0.8847658,"teacher_disagreement_score":0.16806954,"about_ca_system_score_codex":0.006725716,"about_ca_system_score_gemma":0.004359241,"threshold_uncertainty_score":0.3381186},"labels":[],"label_agreement":null},{"id":"W2090493431","doi":"10.1111/j.1755-053x.2008.00030.x","title":"Asymmetric Information and Dividend Policy","year":2008,"lang":"en","type":"article","venue":"Financial Management","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":248,"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":"Dividend; Information asymmetry; Incentive; Dividend policy; Sample (material); Monetary economics; Economics; Affect (linguistics); Business; Financial economics; Microeconomics; Finance; Psychology","score_opus":0.011737349348403774,"score_gpt":0.18980265258581636,"score_spread":0.17806530323741257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090493431","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99156123,0.00046033153,0.0016007411,0.0007543374,0.0000071276195,0.0000113012875,0.00012924823,0.0000062224376,0.0054695527],"genre_scores_gemma":[0.9995394,0.00011227387,0.000098172284,0.000028421926,0.00001000815,0.0000019222994,0.000029167251,5.806339e-7,0.00017998467],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99879766,0.00040955222,0.00009303834,0.00014461052,0.0002884158,0.00026680258],"domain_scores_gemma":[0.9494054,0.026992802,0.020193143,0.0013618232,0.0010952731,0.00095162203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031462873,0.0001733361,0.00041971653,0.0011503033,0.000330939,0.001865013,0.00025694765,0.00062575744,0.0031536417],"category_scores_gemma":[0.025355127,0.00015901604,0.00020768537,0.001051651,0.00076237274,0.0016191454,0.0006371071,0.00082426064,0.0003188289],"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":[0.0011115893,0.0007251864,0.8258745,0.00019693021,0.0003782214,0.0005183541,0.0015264208,0.02396545,0.0045453124,0.07169844,0.0013715703,0.06808807],"study_design_scores_gemma":[0.00013798384,0.000494905,0.7588045,0.0001281987,0.00026873947,0.0005740232,0.0018108019,0.07395977,0.007800963,0.15102077,0.00491192,0.00008757238],"about_ca_topic_score_codex":0.0010784639,"about_ca_topic_score_gemma":0.0010697616,"teacher_disagreement_score":0.0031536417,"about_ca_system_score_codex":0.0013370399,"about_ca_system_score_gemma":0.00050675496,"threshold_uncertainty_score":0.016639352},"labels":[],"label_agreement":null},{"id":"W2091596451","doi":"10.1111/j.1755-053x.2009.01026.x","title":"Capital Structure Decisions: Which Factors Are Reliably Important?","year":2009,"lang":"en","type":"article","venue":"Financial Management","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":2708,"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":"Hong Kong University of Science and Technology; Queen's University; Tulane University","keywords":"Leverage (statistics); Capital structure; Dividend; Monetary economics; Economics; Financial economics; Business; Econometrics; Finance","score_opus":0.010755047759871092,"score_gpt":0.19889400270704244,"score_spread":0.18813895494717134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091596451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876796,0.0036559391,0.0015369006,0.0011727187,0.000049956827,0.000020490785,0.0007552977,0.000033249235,0.005095929],"genre_scores_gemma":[0.99871314,0.00044781624,0.00015289905,0.00005423563,0.000059935377,0.000003359815,0.0002137766,0.000007908245,0.00034689775],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991123,0.00025711436,0.00008922344,0.00020735219,0.00017475615,0.0001593045],"domain_scores_gemma":[0.97437197,0.0114119155,0.0108816745,0.0013252998,0.0011217303,0.00088746287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019061465,0.00036314924,0.00073648297,0.0009766114,0.0004036135,0.0017631308,0.00040683305,0.00061643636,0.0045975847],"category_scores_gemma":[0.023517303,0.0002713618,0.0003508349,0.0014563951,0.0010799139,0.0019048261,0.00079540844,0.00081716466,0.00071661576],"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":[0.000107843436,0.0000293777,0.97667897,0.00005345698,0.00009521897,0.000121075755,0.00025525966,0.0007225494,0.00028406267,0.0004237659,0.00050444365,0.020723956],"study_design_scores_gemma":[0.0000071321274,0.00005767288,0.995726,0.00003396683,0.00005004914,0.00009291378,0.0003104211,0.0008307276,0.0002698179,0.0015685604,0.0010407885,0.000012037686],"about_ca_topic_score_codex":0.0077359295,"about_ca_topic_score_gemma":0.012324915,"teacher_disagreement_score":0.0077359295,"about_ca_system_score_codex":0.0005444586,"about_ca_system_score_gemma":0.00048296436,"threshold_uncertainty_score":0.015381813},"labels":[],"label_agreement":null},{"id":"W2102342434","doi":"10.1111/j.1755-053x.2011.01144.x","title":"Resolving the Presidential Puzzle","year":2011,"lang":"en","type":"article","venue":"Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University; Dalhousie University","funders":"","keywords":"Presidential system; Economics; Democracy; Stock (firearms); Differential (mechanical device); Financial economics; Default risk; Politics; Stock market; Monetary economics; Econometrics; Political science; Actuarial science; Credit risk; Law; History","score_opus":0.04383946173431248,"score_gpt":0.1895039265125776,"score_spread":0.1456644647782651,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102342434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5505152,0.017376168,0.0129032545,0.31390792,0.0033081297,0.000026572721,0.0008067355,0.00023470739,0.10092138],"genre_scores_gemma":[0.98210746,0.0020846108,0.00097468984,0.0075539863,0.0020955268,0.00000935084,0.00013597135,0.000047167072,0.004991145],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976618,0.0012529459,0.00007446431,0.0003100544,0.0003665961,0.0003342167],"domain_scores_gemma":[0.98171544,0.009670378,0.003880936,0.001991104,0.0016736297,0.0010685018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008266444,0.00026204612,0.00076362805,0.00075806584,0.0013834586,0.0033904023,0.00062133005,0.002920291,0.012168875],"category_scores_gemma":[0.04399091,0.00021098623,0.0003260094,0.00094279385,0.0015431517,0.0045669787,0.0018012697,0.0034135883,0.0015317372],"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":[0.0005814577,0.00028438627,0.06393655,0.0002790414,0.00026604105,0.00092064566,0.0032116426,0.0052205524,0.0010758373,0.588904,0.16133796,0.17398192],"study_design_scores_gemma":[0.00024623884,0.00029424593,0.08965777,0.0004427213,0.00016188272,0.0010483986,0.006014584,0.015291739,0.0014142531,0.6005386,0.2847842,0.00010538583],"about_ca_topic_score_codex":0.002238936,"about_ca_topic_score_gemma":0.0023900147,"teacher_disagreement_score":0.012168875,"about_ca_system_score_codex":0.00081930176,"about_ca_system_score_gemma":0.0012275659,"threshold_uncertainty_score":0.043717682},"labels":[],"label_agreement":null},{"id":"W2103992894","doi":"10.1111/j.1755-053x.2010.01126.x","title":"Gains from Mergers and Acquisitions Around the World: New Evidence","year":2010,"lang":"en","type":"article","venue":"Financial Management","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Shareholder; Business; Mergers and acquisitions; Monetary economics; Stock (firearms); Market for corporate control; Empirical evidence; Competition (biology); Stock market; Control (management); Economics; Finance; Corporate governance","score_opus":0.025442913093714135,"score_gpt":0.24035941377802017,"score_spread":0.21491650068430604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103992894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9471749,0.014997869,0.00025839786,0.003052691,0.0000741281,0.000017636174,0.0010122185,0.0000131805955,0.033398956],"genre_scores_gemma":[0.992774,0.0055524455,0.00008719056,0.00036242194,0.00018059756,0.000004416805,0.0005159968,0.000004570598,0.00051829754],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987637,0.00030706983,0.000109114895,0.00020836793,0.00044991163,0.0001618581],"domain_scores_gemma":[0.9652905,0.011202407,0.019368406,0.0012151832,0.0014842753,0.0014391887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014651094,0.00023083529,0.0002725228,0.0018730387,0.00062515924,0.002640736,0.00032435544,0.0007844465,0.0048640324],"category_scores_gemma":[0.012097473,0.00018238157,0.00027785235,0.0025911827,0.0020028308,0.0020957494,0.0018139266,0.0010698171,0.0006120694],"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":[0.0007511096,0.00020135954,0.9213877,0.00027531275,0.00037285956,0.00077634165,0.0013687467,0.00019770833,0.00031149513,0.0033787077,0.0040736753,0.06690503],"study_design_scores_gemma":[0.000042233758,0.00019931057,0.98061323,0.00023823387,0.00025964226,0.0014850704,0.0031985466,0.00012713527,0.00041220276,0.0011660565,0.012232364,0.000025923366],"about_ca_topic_score_codex":0.0034875101,"about_ca_topic_score_gemma":0.0081508765,"teacher_disagreement_score":0.0048640324,"about_ca_system_score_codex":0.00038223286,"about_ca_system_score_gemma":0.0003008744,"threshold_uncertainty_score":0.01627183},"labels":[],"label_agreement":null},{"id":"W2105187902","doi":"10.1111/j.1755-053x.2011.01172.x","title":"Innovate to Survive: The Effect of Technology Competition on Corporate Bankruptcy","year":2011,"lang":"en","type":"article","venue":"Financial Management","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":75,"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":"Singapore Management University; National University of Singapore; Canadian Intensive Care Foundation; University of Connecticut","keywords":"Bankruptcy; Earnings; Competition (biology); Business; Stock (firearms); Financial distress; Bankruptcy prediction; Industrial organization; Monetary economics; Accounting; Economics; Financial system; Finance","score_opus":0.01878187944936419,"score_gpt":0.19839227394136752,"score_spread":0.17961039449200333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105187902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99621826,0.0004382089,0.00019674655,0.0003095007,0.000006143339,0.000007311324,0.00010407669,0.000005708697,0.0027139788],"genre_scores_gemma":[0.99954766,0.000065405984,0.000029017892,0.00004333585,0.0000117544705,0.0000022939098,0.000055912275,0.000001754078,0.00024274983],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997936,0.00068914826,0.00017683074,0.0003123015,0.00034434613,0.00054135756],"domain_scores_gemma":[0.88017386,0.06724111,0.037237797,0.0027103515,0.0022361947,0.010400602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027587728,0.00023544295,0.00041956131,0.0011571496,0.00044553087,0.002274721,0.00045662202,0.0013820042,0.005507221],"category_scores_gemma":[0.026161462,0.00015959752,0.00063961983,0.00085966947,0.001632454,0.0012977689,0.001265918,0.002017552,0.0006969244],"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":[0.00049160334,0.00039442416,0.9874392,0.000014698387,0.00012685826,0.00028264403,0.00010529253,0.0013230984,0.0006815701,0.0007213453,0.00036027544,0.008058982],"study_design_scores_gemma":[0.000019289766,0.0004177788,0.99600095,0.000012923935,0.000048229358,0.00024866784,0.00014568327,0.001700771,0.00024076307,0.00083434174,0.00031501782,0.000015619453],"about_ca_topic_score_codex":0.0032136296,"about_ca_topic_score_gemma":0.0037998452,"teacher_disagreement_score":0.005507221,"about_ca_system_score_codex":0.000622023,"about_ca_system_score_gemma":0.00053664023,"threshold_uncertainty_score":0.018423498},"labels":[],"label_agreement":null},{"id":"W2117272083","doi":"10.1111/j.1755-053x.2009.01060.x","title":"An Empirical Comparison of Option‐Pricing Models in Hedging Exotic Options","year":2009,"lang":"en","type":"article","venue":"Financial Management","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; University of Windsor","funders":"","keywords":"Exotic option; Valuation of options; Asian option; Monte Carlo methods for option pricing; Black–Scholes model; Economics; Trinomial tree; Empirical evidence; Actuarial science; Binomial options pricing model; Financial economics","score_opus":0.07665503749582415,"score_gpt":0.30002676408454815,"score_spread":0.223371726588724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117272083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9769383,0.0010079212,0.018592993,0.00030110872,0.000032045384,0.000035401525,0.00022285989,0.000116503106,0.0027527767],"genre_scores_gemma":[0.9953963,0.00027875262,0.0033299632,0.000027377075,0.000022068953,0.000015678674,0.0005723064,0.000026650592,0.00033080313],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968368,0.0018922318,0.00023734085,0.00035321031,0.00055424,0.00012618546],"domain_scores_gemma":[0.9116007,0.07585952,0.0036714578,0.0053335046,0.0024218396,0.0011130205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020096136,0.00087775633,0.0010211155,0.0019328072,0.0005031636,0.0027571581,0.0014051788,0.0015609798,0.0024507502],"category_scores_gemma":[0.05195563,0.0003648023,0.0011501549,0.002237277,0.001223313,0.0044667046,0.0017091124,0.0017298812,0.00046775522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003405254,0.0011090079,0.18232016,0.00063303724,0.0010649908,0.00057700457,0.0016179376,0.6393109,0.0019651663,0.08224168,0.0031141734,0.0826407],"study_design_scores_gemma":[0.00012262182,0.0005909672,0.037126478,0.0000998442,0.00014470569,0.0003645367,0.00043586933,0.93128085,0.0008566381,0.027447028,0.0014350374,0.000095420764],"about_ca_topic_score_codex":0.0023647489,"about_ca_topic_score_gemma":0.0017997255,"teacher_disagreement_score":0.020096136,"about_ca_system_score_codex":0.00086540024,"about_ca_system_score_gemma":0.00042435032,"threshold_uncertainty_score":0.10627979},"labels":[],"label_agreement":null},{"id":"W2123019761","doi":"10.1111/j.1755-053x.2008.00003.x","title":"Tracking Stock or Spin‐Off? Determinants of Choice","year":2008,"lang":"en","type":"article","venue":"Financial Management","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":"McMaster University","funders":"","keywords":"Restructuring; Business; Insider; Equity (law); Stock (firearms); Capital market; Stock market; Monetary economics; Economics; Finance","score_opus":0.041244748262151985,"score_gpt":0.24940446753258266,"score_spread":0.20815971927043067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123019761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99580115,0.00015871206,0.00035550309,0.0010625012,0.000010111493,0.000011785298,0.00005509866,0.0000029980843,0.0025421914],"genre_scores_gemma":[0.9993611,0.00004222055,0.00005393544,0.00007610143,0.00000915662,0.0000025964175,0.000019699932,0.0000012948794,0.00043392956],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984977,0.0007077852,0.00007843899,0.00017673516,0.00016777562,0.00037151613],"domain_scores_gemma":[0.9696611,0.018379478,0.0072819134,0.0008427546,0.00038193705,0.0034528624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028812522,0.00016399832,0.0003311337,0.00051687297,0.0005034176,0.0020222226,0.00039575246,0.0019351967,0.015572642],"category_scores_gemma":[0.011591554,0.00018142676,0.00048696483,0.0003770584,0.0014906524,0.001149456,0.0007252016,0.0017552526,0.0008093933],"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":[0.0006489373,0.0009153394,0.9798765,0.000030244999,0.00014423138,0.0002416458,0.0007227088,0.0008568452,0.0006921057,0.0032639285,0.00059258216,0.012014923],"study_design_scores_gemma":[0.00012293826,0.0004884579,0.9688672,0.00006216617,0.00014060143,0.0003715053,0.0040913173,0.010048403,0.00072775775,0.013029588,0.0019998823,0.000050240193],"about_ca_topic_score_codex":0.002608574,"about_ca_topic_score_gemma":0.0041168677,"teacher_disagreement_score":0.015572642,"about_ca_system_score_codex":0.00035802735,"about_ca_system_score_gemma":0.0004505627,"threshold_uncertainty_score":0.05209565},"labels":[],"label_agreement":null},{"id":"W2131043243","doi":"10.1111/j.1755-053x.2010.01124.x","title":"Management Quality and Equity Issue Characteristics: A Comparison of SEOs and IPOs","year":2010,"lang":"en","type":"article","venue":"Financial Management","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":52,"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; Underwriting; Business; Information asymmetry; Equity (law); Quality (philosophy); Finance; Accounting; Monetary economics; Economics","score_opus":0.029949479833595142,"score_gpt":0.29227225780170474,"score_spread":0.2623227779681096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131043243","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988575,0.00006802274,0.00016540366,0.000055228888,0.0000020874172,0.0000113853475,0.00017136405,0.0000021833366,0.0006668152],"genre_scores_gemma":[0.9994867,0.000025647501,0.000067837085,0.000016439886,0.000010411562,0.000005964943,0.00024563566,0.0000019842482,0.00013937584],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99841475,0.0003872806,0.00025788904,0.00021976823,0.00043622556,0.00028406538],"domain_scores_gemma":[0.9398991,0.014586602,0.037787456,0.0017884487,0.002311527,0.0036269247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020886797,0.00015241202,0.00032507334,0.0025443232,0.00029355442,0.001213663,0.00025976257,0.00048094412,0.0033734431],"category_scores_gemma":[0.016730892,0.00015177969,0.0003674086,0.0020070213,0.00061798556,0.0013209337,0.0011342419,0.00055393105,0.00028040554],"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":[0.000092430964,0.00008006697,0.9971533,0.000008974532,0.00005021801,0.00003288124,0.00017048958,0.00006890629,0.00026489023,0.00012144504,0.00006688634,0.001889542],"study_design_scores_gemma":[0.0000059636213,0.00008794337,0.9989556,0.0000047393846,0.000010360291,0.0000638059,0.00027584648,0.00020083056,0.00013017496,0.00008736492,0.00017447714,0.0000029599225],"about_ca_topic_score_codex":0.0016590228,"about_ca_topic_score_gemma":0.001800823,"teacher_disagreement_score":0.0033734431,"about_ca_system_score_codex":0.0003733841,"about_ca_system_score_gemma":0.0002325278,"threshold_uncertainty_score":0.011285305},"labels":[],"label_agreement":null},{"id":"W2133157442","doi":"10.1111/j.1755-053x.2008.00011.x","title":"Institutional Investors and Shareholder Litigation","year":2008,"lang":"en","type":"article","venue":"Financial Management","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Brock University","funders":"","keywords":"Fiduciary; Institutional investor; Shareholder; Business; Pension; Investment (military); Finance; Accounting; Financial system; Corporate governance; Law","score_opus":0.025571608959845442,"score_gpt":0.18270721694025088,"score_spread":0.15713560798040543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133157442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9813518,0.0011234884,0.0010965538,0.0021702985,0.000021694128,0.000023833974,0.0000610955,0.00001662238,0.014134577],"genre_scores_gemma":[0.99928623,0.000104901206,0.00006554715,0.00007244194,0.000030089572,0.000002535414,0.000019012507,8.528561e-7,0.00041830746],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99644667,0.000983919,0.00032205926,0.00027487642,0.00082442217,0.0011481291],"domain_scores_gemma":[0.8652131,0.03678565,0.08782219,0.0025968198,0.0024898453,0.0050924034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043356433,0.0001150913,0.0002928902,0.0008916346,0.0006159598,0.0024976318,0.0005024562,0.0016001719,0.0057221754],"category_scores_gemma":[0.04283222,0.000088636574,0.0003169647,0.00092025404,0.0011987694,0.002172727,0.0011071434,0.001304352,0.00042594588],"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":[0.00017143089,0.00055605645,0.9387881,0.000053195672,0.00017034469,0.0005610749,0.0009480866,0.0025467605,0.0009903429,0.018219318,0.0013706228,0.035624642],"study_design_scores_gemma":[0.00012086013,0.00070043775,0.94693935,0.00011718925,0.00016650013,0.0014490781,0.0026436765,0.008651108,0.0021002372,0.029293608,0.0077542774,0.00006371852],"about_ca_topic_score_codex":0.0015487265,"about_ca_topic_score_gemma":0.0021644793,"teacher_disagreement_score":0.0057221754,"about_ca_system_score_codex":0.0010678134,"about_ca_system_score_gemma":0.00091471215,"threshold_uncertainty_score":0.02292931},"labels":[],"label_agreement":null},{"id":"W2136570092","doi":"10.1111/j.1755-053x.2011.01148.x","title":"Why Larger Lenders Obtain Higher Returns: Evidence from Sovereign Syndicated Loans","year":2011,"lang":"en","type":"article","venue":"Financial Management","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":6,"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 Victoria","funders":"","keywords":"Syndicate; Syndicated loan; Market liquidity; Business; Loan; Monetary economics; Financial system; Economics; Finance","score_opus":0.05295780080129426,"score_gpt":0.21996113187068908,"score_spread":0.16700333106939483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136570092","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967284,0.00023936595,0.00020470735,0.00037031973,0.000004874685,0.0000067155206,0.00017016084,0.0000068658383,0.0022685148],"genre_scores_gemma":[0.9991436,0.00010138773,0.00007342454,0.00005726681,0.000016813,0.000004462592,0.00014193787,0.0000036417266,0.0004574606],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99799275,0.00075132865,0.00020698084,0.0003955861,0.0004211213,0.00023217613],"domain_scores_gemma":[0.94084555,0.0223416,0.027072584,0.004632225,0.0019729214,0.0031350644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032166569,0.00015286989,0.0004883738,0.0011188334,0.0005238513,0.0018658814,0.00046339424,0.0008474022,0.0062085427],"category_scores_gemma":[0.027962746,0.00024482686,0.00027706457,0.0017043152,0.0013471569,0.001257052,0.0017156899,0.00087898836,0.00096475397],"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":[0.0003278866,0.00024135537,0.9814037,0.000057948604,0.00013766265,0.00029141654,0.0013472227,0.00036662281,0.00086342386,0.0014892628,0.0012884501,0.012185221],"study_design_scores_gemma":[0.000047934045,0.00007811355,0.99507314,0.000018889696,0.00003936695,0.00023034448,0.0013219286,0.00046906565,0.00036748667,0.0008973422,0.0014467832,0.000009562255],"about_ca_topic_score_codex":0.0027180188,"about_ca_topic_score_gemma":0.002989271,"teacher_disagreement_score":0.0062085427,"about_ca_system_score_codex":0.0002610245,"about_ca_system_score_gemma":0.00021538537,"threshold_uncertainty_score":0.020769656},"labels":[],"label_agreement":null},{"id":"W2323207152","doi":"10.1111/fima.12073","title":"Distribution of Ownership, Short Sale Constraints, and Market Efficiency: Evidence from Cross‐Listed Stocks","year":2014,"lang":"en","type":"article","venue":"Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","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":"Royal Bank of Canada","funders":"","keywords":"Distribution (mathematics); Business; Monetary economics; Market efficiency; Economics; Financial economics","score_opus":0.02678679374143264,"score_gpt":0.22715749312748623,"score_spread":0.2003706993860536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2323207152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99879265,0.00019188038,0.00017416425,0.00006618017,0.0000015193019,0.0000023915838,0.00013441683,0.0000014987344,0.00063517387],"genre_scores_gemma":[0.9993759,0.000085537315,0.00004988039,0.000015614194,0.000009498564,0.0000018295165,0.0002936866,0.0000012976975,0.00016681083],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992711,0.00020410627,0.00009472842,0.00016510188,0.00016188427,0.00010310354],"domain_scores_gemma":[0.9647231,0.014125527,0.016122777,0.0020461981,0.0015611493,0.0014212412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017531427,0.0001939463,0.00047693052,0.0011854306,0.0004103569,0.001512697,0.000533555,0.0005064643,0.003619002],"category_scores_gemma":[0.013982021,0.00023600909,0.00033136326,0.0017413012,0.0007846267,0.0018302831,0.001303962,0.00061986997,0.00031454468],"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":[0.00013899269,0.00008628607,0.99368495,0.000015693673,0.0001827699,0.000067294575,0.00028429783,0.00048677,0.00031410044,0.0005203677,0.00015872072,0.0040597646],"study_design_scores_gemma":[0.000008357221,0.000050689614,0.99795854,0.0000061925207,0.00003454026,0.00005011412,0.00030867863,0.0008405824,0.00017662288,0.00033367364,0.00022575507,0.0000062238464],"about_ca_topic_score_codex":0.010561017,"about_ca_topic_score_gemma":0.011412496,"teacher_disagreement_score":0.010561017,"about_ca_system_score_codex":0.00034653643,"about_ca_system_score_gemma":0.00018169232,"threshold_uncertainty_score":0.020999074},"labels":[],"label_agreement":null},{"id":"W2326783958","doi":"10.1111/fima.12107","title":"National Culture and Profit Reinvestment: Evidence from Small and Medium‐Sized Enterprises","year":2015,"lang":"en","type":"article","venue":"Financial Management","topic":"Economic Growth and Development","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Embeddedness; Hierarchy; Business; Emerging markets; Institution; Profit (economics); Market economy; Finance; Economics; Microeconomics; Political science; Sociology","score_opus":0.033366992125231934,"score_gpt":0.22576888131800102,"score_spread":0.19240188919276907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2326783958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99887425,0.00013202237,0.000024068617,0.000067800946,0.0000014484812,0.0000022175723,0.000026409536,3.1388635e-7,0.0008714807],"genre_scores_gemma":[0.9994785,0.00019620561,0.000027221167,0.00002800406,0.0000026754876,0.0000030603405,0.00006222887,5.654241e-7,0.00020159771],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99949217,0.00015272776,0.000038522092,0.00006449791,0.00011568531,0.0001363487],"domain_scores_gemma":[0.98525685,0.004317934,0.006356141,0.00063405145,0.001428265,0.0020068272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013556044,0.00016954618,0.00022375789,0.0008737385,0.00088243396,0.0013215685,0.00042133583,0.00032606535,0.0024252683],"category_scores_gemma":[0.0062646847,0.00012939902,0.00024357818,0.0010540441,0.0012121127,0.0010484108,0.001527181,0.0007940298,0.00030600114],"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":[0.00009250674,0.00029287126,0.9892692,0.000022210237,0.00005385471,0.00011943905,0.0025950235,0.00010882042,0.0001050171,0.00035852517,0.00018998013,0.006792497],"study_design_scores_gemma":[0.000008393515,0.00009995937,0.9901215,0.000041595416,0.00003881977,0.00007221527,0.008312771,0.0002548558,0.00018716448,0.00023470446,0.00061973714,0.00000830065],"about_ca_topic_score_codex":0.014419152,"about_ca_topic_score_gemma":0.029217806,"teacher_disagreement_score":0.014419152,"about_ca_system_score_codex":0.0006229289,"about_ca_system_score_gemma":0.000626264,"threshold_uncertainty_score":0.02867043},"labels":[],"label_agreement":null},{"id":"W2527221000","doi":"10.1111/fima.12160","title":"The Anatomy of a Socially Responsible Corporation","year":2016,"lang":"en","type":"article","venue":"Financial Management","topic":"Corporate Social Responsibility Reporting","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":"Concordia University","funders":"","keywords":"Corporate social responsibility; Construct (python library); Corporation; Business; Unitary state; Social responsibility; Industrial organization; Public relations; Finance; Political science; Law","score_opus":0.017214229783982595,"score_gpt":0.254367008317383,"score_spread":0.23715277853340042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2527221000","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053562645,0.0025894507,0.048620064,0.021312036,0.0002528276,0.000097769036,0.00006710576,0.00019234917,0.8733058],"genre_scores_gemma":[0.9340418,0.0020415776,0.01614709,0.001221146,0.00022816284,0.00010607198,0.000043721488,0.00007795328,0.046092577],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99714965,0.0014071405,0.000078059405,0.00041152566,0.0006270435,0.00032660182],"domain_scores_gemma":[0.9982836,0.00048606884,0.00025945535,0.00030192072,0.00031462614,0.00035429743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018375552,0.00026049744,0.0001675059,0.0014488313,0.0035089247,0.007886349,0.0005388026,0.0016747726,0.0066535315],"category_scores_gemma":[0.0031760111,0.00022860408,0.00020845633,0.0015882023,0.020104134,0.005286923,0.0036700617,0.0024791202,0.0011001109],"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":[0.0000022082636,0.0000052982937,0.00044379823,0.000006896689,0.0000013639248,0.000044491037,0.0018257424,0.00011970382,0.00006556058,0.9897343,0.0011402209,0.0066103204],"study_design_scores_gemma":[0.0000047813023,0.000027257554,0.0031579481,0.00007924738,0.0000050888552,0.00021906794,0.002568324,0.0010120465,0.00013654446,0.7786135,0.21416037,0.000015863312],"about_ca_topic_score_codex":0.0046728654,"about_ca_topic_score_gemma":0.0038886282,"teacher_disagreement_score":0.007886349,"about_ca_system_score_codex":0.0034183152,"about_ca_system_score_gemma":0.004459749,"threshold_uncertainty_score":0.024801731},"labels":[],"label_agreement":null},{"id":"W2546829317","doi":"10.1111/fima.12156","title":"CEO Incentives, Relationship Lending, and the Cost of Corporate Borrowing","year":2016,"lang":"en","type":"article","venue":"Financial Management","topic":"Banking stability, regulation, efficiency","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":"Saint Mary's University","funders":"","keywords":"Incentive; Collateral; Loan; Business; Shareholder; Maturity (psychological); Executive compensation; Equity (law); Creditor; Chief executive officer; Monetary economics; Finance; Financial system; Economics; Corporate governance; Microeconomics; Debt","score_opus":0.033819528827147415,"score_gpt":0.21562576041539636,"score_spread":0.18180623158824893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2546829317","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98874706,0.00038297646,0.0014654627,0.00048086356,0.000005907758,0.000015333675,0.000068345995,0.0000076041083,0.00882658],"genre_scores_gemma":[0.9986696,0.000112528694,0.00018606534,0.000028452605,0.00001178276,0.000005514395,0.000024034214,0.0000013541188,0.0009605942],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991804,0.00037507492,0.000058040936,0.000073535244,0.00017526092,0.0001377637],"domain_scores_gemma":[0.96249026,0.015928844,0.018140567,0.00084644015,0.0008382743,0.00175557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002441917,0.00018253448,0.0002996252,0.00045142916,0.00035344888,0.0015801619,0.0004270833,0.0008448198,0.006997288],"category_scores_gemma":[0.02031972,0.00015732521,0.00015406722,0.00056494365,0.0005530893,0.0011400941,0.00079616264,0.0009064539,0.00044070435],"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":[0.0013206084,0.0022866603,0.7955362,0.00022722204,0.00020392987,0.0006249506,0.00093816256,0.029684568,0.0075416695,0.07593759,0.0018215916,0.083876766],"study_design_scores_gemma":[0.00026370015,0.0010729787,0.88813853,0.00010449429,0.00022316302,0.0005653537,0.001180753,0.040979136,0.0042461995,0.056361094,0.006812721,0.000051877327],"about_ca_topic_score_codex":0.0009278287,"about_ca_topic_score_gemma":0.0015771864,"teacher_disagreement_score":0.006997288,"about_ca_system_score_codex":0.00097148586,"about_ca_system_score_gemma":0.0006780742,"threshold_uncertainty_score":0.023408234},"labels":[],"label_agreement":null},{"id":"W2549611311","doi":"10.1111/fima.12164","title":"Star Analysts, Overreaction, and Synchronicity: Evidence from China and the United States","year":2016,"lang":"en","type":"article","venue":"Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":31,"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":"University of Windsor","keywords":"Synchronicity; China; Star (game theory); Stock (firearms); Business; Stock price; Financial economics; Monetary economics; Economics; Psychology; Political science; Geography","score_opus":0.01793687729885165,"score_gpt":0.1988398570622721,"score_spread":0.18090297976342046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2549611311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99889815,0.00022663925,0.00004904887,0.00008142433,0.000003938007,0.000003334601,0.00012993763,0.0000014928142,0.0006059559],"genre_scores_gemma":[0.999405,0.00018767938,0.000022570603,0.000027988814,0.000009815014,0.0000015202653,0.00024215289,8.560248e-7,0.00010251443],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99956125,0.000096845586,0.000054234704,0.000075697746,0.00012948488,0.000082459104],"domain_scores_gemma":[0.9916632,0.0017331226,0.004639678,0.00032282222,0.0008714123,0.00076977955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013072081,0.00022105609,0.00024946552,0.0020442002,0.0004097264,0.00068953563,0.00028712905,0.00022504525,0.0012661911],"category_scores_gemma":[0.004459247,0.00013887072,0.00036384736,0.0027905805,0.00062356476,0.0005765774,0.00086101476,0.00027401256,0.00011359711],"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":[0.00006591391,0.00001941619,0.9957349,0.000012627223,0.000073493306,0.00010465477,0.0004786323,0.0000917648,0.000110331246,0.00010736089,0.00017215093,0.0030288177],"study_design_scores_gemma":[0.0000050360154,0.000020499197,0.9988022,0.0000054964976,0.000035812624,0.000035321646,0.0004196554,0.00031256277,0.000089693465,0.000037852442,0.00023228733,0.000003586011],"about_ca_topic_score_codex":0.06824973,"about_ca_topic_score_gemma":0.08720823,"teacher_disagreement_score":0.06824973,"about_ca_system_score_codex":0.000520923,"about_ca_system_score_gemma":0.0007023605,"threshold_uncertainty_score":0.13570493},"labels":[],"label_agreement":null},{"id":"W2554986798","doi":"10.1111/fima.12123","title":"Informed Trading in Corporate Bonds Prior to Earnings Announcements","year":2015,"lang":"en","type":"article","venue":"Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":62,"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 Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Bond; Issuer; Earnings; Corporate bond; Business; Monetary economics; Yield (engineering); Post-earnings-announcement drift; Bond market; Financial system; Financial economics; Accounting; Economics; Earnings response coefficient; Finance","score_opus":0.06794113564465215,"score_gpt":0.23413467765952364,"score_spread":0.1661935420148715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2554986798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966325,0.0002901883,0.0005040801,0.00010988067,0.000011400816,0.000008663298,0.0005482461,0.000023441195,0.0018715438],"genre_scores_gemma":[0.9981844,0.00019071792,0.00015678606,0.00001315256,0.000024660698,0.0000037842217,0.00083799934,0.000004076405,0.00058446266],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994518,0.00008644354,0.0000666158,0.000097541335,0.00021629948,0.000081351136],"domain_scores_gemma":[0.98665255,0.0044078045,0.007004712,0.0006624377,0.0008055606,0.00046683493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010154175,0.00021640287,0.00045673022,0.0011254702,0.00025443305,0.0018657794,0.0003871399,0.0007002475,0.0018455259],"category_scores_gemma":[0.015381813,0.000285356,0.00018772922,0.0010899699,0.00025310667,0.001413954,0.0005523344,0.00080613623,0.00061246235],"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":[0.0009134187,0.00031816887,0.9497968,0.00006393573,0.00017417398,0.000577138,0.0005286543,0.00823996,0.004323215,0.0025061257,0.001034493,0.03152392],"study_design_scores_gemma":[0.000021108079,0.00016076869,0.9762867,0.000031329913,0.000071353454,0.00020085316,0.0003161341,0.016275974,0.0025445768,0.0020737296,0.0019807906,0.00003668519],"about_ca_topic_score_codex":0.008174654,"about_ca_topic_score_gemma":0.011976514,"teacher_disagreement_score":0.008174654,"about_ca_system_score_codex":0.00046360187,"about_ca_system_score_gemma":0.00032753995,"threshold_uncertainty_score":0.016254127},"labels":[],"label_agreement":null},{"id":"W2752610870","doi":"10.1111/fima.12328","title":"Are the risk attitudes of professional investors affected by personal catastrophic experiences?","year":2020,"lang":"en","type":"article","venue":"Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Portfolio; Volatility (finance); Agency (philosophy); Actuarial science; Business; Natural disaster; Basis point; Finance; Financial economics; Economics; Bond; Geography","score_opus":0.026943655727770573,"score_gpt":0.21311822282735088,"score_spread":0.1861745670995803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2752610870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99894065,0.000023762806,0.00009399672,0.000113609094,0.0000019316014,0.0000015420305,0.0000130890585,7.9625227e-7,0.0008106943],"genre_scores_gemma":[0.999877,0.000013055578,0.000015177949,0.0000196359,0.0000030754375,6.8492886e-7,0.000007279188,1.8762597e-7,0.00006384812],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99950504,0.00017733642,0.000026461317,0.00005788045,0.00011085351,0.00012250207],"domain_scores_gemma":[0.9889798,0.002145902,0.007059047,0.00055589026,0.0004147325,0.00084464264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011039749,0.00011002272,0.00014761701,0.00036105854,0.00023749282,0.00092324615,0.00017843286,0.00047775978,0.0015190026],"category_scores_gemma":[0.009102771,0.00008994106,0.00017751817,0.00023329663,0.0008085881,0.00057024177,0.00052184815,0.0004891278,0.00015252628],"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":[0.00014309316,0.00013565863,0.9895964,0.0000084431285,0.000043217336,0.00011287993,0.0013841152,0.00035392834,0.00059245655,0.0003803646,0.00017379603,0.0070756786],"study_design_scores_gemma":[0.0000049144164,0.00011826949,0.9947284,0.0000063586845,0.000015792999,0.00013446932,0.002722843,0.0006314411,0.00037938202,0.00093131256,0.0003175553,0.000009269441],"about_ca_topic_score_codex":0.0015476849,"about_ca_topic_score_gemma":0.0017793679,"teacher_disagreement_score":0.0015476849,"about_ca_system_score_codex":0.00025201103,"about_ca_system_score_gemma":0.00016038715,"threshold_uncertainty_score":0.0058385134},"labels":[],"label_agreement":null},{"id":"W2851374521","doi":"10.1111/fima.12229","title":"Initial Offer Precision and M&A Outcomes","year":2018,"lang":"en","type":"article","venue":"Financial Management","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Marcus och Amalia Wallenbergs minnesfond; Academy of Finland","keywords":"Liberian dollar; Cash; Quarter (Canadian coin); Economics; Business; Actuarial science; Econometrics; Finance; History","score_opus":0.027348138175105258,"score_gpt":0.2501537114021777,"score_spread":0.22280557322707242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2851374521","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99394673,0.0002757492,0.0007886477,0.00034888324,0.000014343239,0.000040202103,0.00036686732,0.000022954882,0.0041956347],"genre_scores_gemma":[0.99914813,0.00004750229,0.00012263762,0.000012777401,0.000017768534,0.00000894041,0.000098159595,0.0000024370638,0.0005416337],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99735945,0.0009274392,0.00025430357,0.00026952027,0.0008139017,0.0003752797],"domain_scores_gemma":[0.8388822,0.08057779,0.06856139,0.0033542563,0.0024945387,0.006129893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041482663,0.00025941388,0.00032885847,0.0010066283,0.00044233105,0.0021347154,0.00051633996,0.0006437227,0.0119855795],"category_scores_gemma":[0.048325375,0.00019843683,0.00035996613,0.0007718895,0.00075153477,0.001107724,0.0010468434,0.0017644983,0.00089561945],"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":[0.0016939803,0.0011809669,0.9592633,0.000097251446,0.0002333969,0.00020108985,0.00048989296,0.004113601,0.00077364664,0.003601615,0.0011138546,0.027237426],"study_design_scores_gemma":[0.000046964284,0.00088838453,0.9896763,0.000044681427,0.00005650907,0.00017777765,0.00072592375,0.0031067946,0.0008868367,0.0033895776,0.00096781435,0.00003250891],"about_ca_topic_score_codex":0.0013979618,"about_ca_topic_score_gemma":0.0011562217,"teacher_disagreement_score":0.0119855795,"about_ca_system_score_codex":0.0006470587,"about_ca_system_score_gemma":0.00048121397,"threshold_uncertainty_score":0.040095747},"labels":[],"label_agreement":null},{"id":"W2911628909","doi":"10.1111/fima.12251","title":"The real effects of proxy advisors on the firm","year":2018,"lang":"en","type":"article","venue":"Financial Management","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Proxy (statistics); Shareholder; Voting; Proxy voting; Incentive; Business; Enterprise value; Accounting; Value (mathematics); Actuarial science; Finance; Economics; Microeconomics; Corporate governance; Disapproval voting; Political science; Computer science","score_opus":0.007498401690302047,"score_gpt":0.19257717660095972,"score_spread":0.18507877491065766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911628909","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97778535,0.001129909,0.001178135,0.0032956975,0.00004368307,0.000017786255,0.00036557118,0.000027950075,0.016155813],"genre_scores_gemma":[0.9992269,0.00008438223,0.000076639095,0.000058715297,0.000039390572,0.0000025939207,0.000038459162,0.0000015720582,0.00047134658],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9931718,0.0038610336,0.00046974726,0.0006610387,0.0010935223,0.00074281194],"domain_scores_gemma":[0.7599467,0.11359999,0.09781466,0.008762779,0.0069744634,0.012901369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051255743,0.00014401495,0.0003432943,0.00097177614,0.0007263207,0.0035013084,0.0004713453,0.0013379795,0.0054437346],"category_scores_gemma":[0.078208745,0.00016553451,0.0002110794,0.0013071875,0.0010898411,0.0015525927,0.0010664109,0.0017828251,0.0007776698],"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":[0.0005203931,0.00021380476,0.94649017,0.000065944325,0.00018870652,0.00025416157,0.0005492909,0.0027577917,0.00083641394,0.0070304405,0.0017054401,0.039387472],"study_design_scores_gemma":[0.000035247096,0.00030706453,0.9794103,0.00007155534,0.00013129262,0.00018269927,0.0010309403,0.005537442,0.001502242,0.0043089073,0.0074341553,0.00004820225],"about_ca_topic_score_codex":0.0052832155,"about_ca_topic_score_gemma":0.0063652713,"teacher_disagreement_score":0.0054437346,"about_ca_system_score_codex":0.0016533361,"about_ca_system_score_gemma":0.0006973389,"threshold_uncertainty_score":0.02710694},"labels":[],"label_agreement":null},{"id":"W3007078124","doi":"10.1111/fima.12311","title":"The effect of privatization on the characteristics of innovation","year":2020,"lang":"en","type":"article","venue":"Financial Management","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","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":"HEC Montréal; Université de Sherbrooke","funders":"","keywords":"Profitability index; Business; Sample (material); Industrial organization; Set (abstract data type); Finance","score_opus":0.012162061994731337,"score_gpt":0.18929193320238388,"score_spread":0.17712987120765256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007078124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99767834,0.00014877826,0.0002287721,0.00017008245,0.0000025179143,0.0000061516976,0.00014414433,0.000004043819,0.0016171191],"genre_scores_gemma":[0.9997979,0.000019436122,0.00001807966,0.0000059098284,0.0000029082578,0.0000013426637,0.000045919143,5.849654e-7,0.00010801754],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99840575,0.00048383907,0.00019130239,0.0002257408,0.00029296032,0.0004005645],"domain_scores_gemma":[0.9323079,0.022878429,0.036600057,0.0028503041,0.0022045395,0.003158711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020870427,0.00008571434,0.00026625211,0.0010687669,0.0003314315,0.001588579,0.00026337817,0.00041991542,0.0054594716],"category_scores_gemma":[0.016456047,0.0001227977,0.00029091595,0.0016324741,0.0016140444,0.0013913852,0.0011506178,0.00069132634,0.00025532342],"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":[0.00018802917,0.00009455404,0.9879871,0.00002811405,0.00008808078,0.00011800659,0.00035448905,0.0030914235,0.0007650595,0.0017741865,0.00015737835,0.005353664],"study_design_scores_gemma":[0.0000075835915,0.00006887606,0.9967348,0.000009274038,0.000015564885,0.00008164458,0.0003702529,0.0011009874,0.00033987348,0.0007186803,0.000544801,0.000007724924],"about_ca_topic_score_codex":0.0032212406,"about_ca_topic_score_gemma":0.002656371,"teacher_disagreement_score":0.0054594716,"about_ca_system_score_codex":0.0012326926,"about_ca_system_score_gemma":0.000891489,"threshold_uncertainty_score":0.018263698},"labels":[],"label_agreement":null},{"id":"W3021478811","doi":"10.1111/fima.12288","title":"Mispriced index option portfolios","year":2019,"lang":"en","type":"article","venue":"Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":26,"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","keywords":"Portfolio; Economics; Index (typography); Volatility (finance); Econometrics; Financial economics; Cash; Maturity (psychological); Finance; Computer science","score_opus":0.01295441035132674,"score_gpt":0.18873260812748668,"score_spread":0.17577819777615994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021478811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9747932,0.00032941365,0.020129818,0.00022132539,0.000027241551,0.000023452956,0.00023120851,0.0000843317,0.0041601756],"genre_scores_gemma":[0.99858284,0.000030945386,0.00083950144,0.000017179213,0.000009478563,0.000004215873,0.00009822661,0.000004233577,0.0004134759],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987099,0.0004921366,0.00008101214,0.00021741778,0.00035704544,0.00014253549],"domain_scores_gemma":[0.984768,0.009976966,0.00252272,0.0016736303,0.0005879473,0.00047081962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036076545,0.00047806592,0.0009792644,0.0006637859,0.00022047514,0.002191032,0.0008552664,0.00066279504,0.0046432586],"category_scores_gemma":[0.020961246,0.00032469918,0.00045786204,0.0006358133,0.000675706,0.002046169,0.0005555133,0.00091196917,0.00042408664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021596819,0.0007618497,0.1604903,0.0001531668,0.0009700129,0.0006407375,0.00013345896,0.7005858,0.0071472377,0.063155904,0.0027971133,0.06100474],"study_design_scores_gemma":[0.00015308693,0.00067708554,0.06496374,0.000024619882,0.00018013759,0.00038913282,0.00013030252,0.8735078,0.006080575,0.051750436,0.0020730477,0.00007003199],"about_ca_topic_score_codex":0.00092754356,"about_ca_topic_score_gemma":0.0008059634,"teacher_disagreement_score":0.0046432586,"about_ca_system_score_codex":0.0009961928,"about_ca_system_score_gemma":0.00067159586,"threshold_uncertainty_score":0.019079387},"labels":[],"label_agreement":null},{"id":"W3023958727","doi":"10.1111/fima.12315","title":"Institutional influence on syndicate structure and cross‐border leveraged buyouts","year":2020,"lang":"en","type":"article","venue":"Financial Management","topic":"Private Equity and Venture Capital","field":"Business, Management and Accounting","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":"Ontario Tech University; Queen's University; Trinity Western University; Western University","funders":"","keywords":"Syndicate; Business; Web syndication; Private equity; Multinational corporation; Equity (law); Database transaction; Alliance; Negotiation; Transaction cost; Accounting; Venture capital; Finance; Law","score_opus":0.012586234543893066,"score_gpt":0.24552794571969025,"score_spread":0.23294171117579718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023958727","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973436,0.0000417346,0.00010810945,0.00004978024,0.0000015876032,0.00000407914,0.000032013373,0.000002735919,0.0024163753],"genre_scores_gemma":[0.999673,0.000017622855,0.000021134865,0.000005499978,0.0000019540544,0.0000010575689,0.000019239256,6.752246e-7,0.00025984968],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99917716,0.00031247112,0.00007288791,0.00011200693,0.00014569334,0.00017975189],"domain_scores_gemma":[0.98067343,0.0053252475,0.010176715,0.00086657796,0.0006820412,0.0022759493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010585987,0.000119718614,0.00019961168,0.0006208997,0.00039366336,0.0020380295,0.00026759686,0.00030274558,0.009112091],"category_scores_gemma":[0.009062186,0.00009036912,0.00013091465,0.00074992015,0.00094127154,0.00070138456,0.0013023274,0.0004196131,0.00036761988],"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":[0.00016613073,0.00024716722,0.9855208,0.000023174582,0.00009020698,0.0003234604,0.00065766345,0.00086125085,0.0009430617,0.0014344226,0.00016265262,0.009570033],"study_design_scores_gemma":[0.000007895029,0.00010803391,0.9954574,0.00001719785,0.0000239695,0.000094369505,0.0020197064,0.00064034865,0.00041206466,0.00055160094,0.00066162104,0.0000058524342],"about_ca_topic_score_codex":0.0032149542,"about_ca_topic_score_gemma":0.0046679,"teacher_disagreement_score":0.009112091,"about_ca_system_score_codex":0.0004883992,"about_ca_system_score_gemma":0.00040581514,"threshold_uncertainty_score":0.030482948},"labels":[],"label_agreement":null},{"id":"W3121382401","doi":"10.1111/fima.12365","title":"Powerful Independent Directors","year":2014,"lang":"en","type":"preprint","venue":"Financial Management","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":7,"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":"Arkansas High Performance Computing Center, University of Arkansas; Arkansas Science and Technology Authority; National Science Foundation","keywords":"Credibility; Shareholder; Business; Converse; Earnings; Accounting; Shareholder value; Accountability; Cash flow; Centrality; Value (mathematics); Free cash flow; Power (physics); Corporate governance; Finance; Political science; Statistics","score_opus":0.011942704702047122,"score_gpt":0.20405461267311306,"score_spread":0.19211190797106595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121382401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94515705,0.0007810673,0.0042892923,0.00090907945,0.00008819498,0.000039975293,0.0009456027,0.00007853745,0.047711052],"genre_scores_gemma":[0.99697614,0.000120749886,0.00019507596,0.000033110657,0.000058404752,0.000005699935,0.00017024565,0.000005083997,0.0024355652],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99907196,0.00019938179,0.000049841736,0.00019256161,0.00030233353,0.00018394642],"domain_scores_gemma":[0.9765436,0.0056867404,0.011877605,0.0013563712,0.0015890831,0.0029466134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012259393,0.00032429176,0.00026744686,0.0014882669,0.00053839036,0.0011532772,0.00031926905,0.00025075153,0.017172394],"category_scores_gemma":[0.011480296,0.00016189553,0.00016683165,0.00083710713,0.00077285117,0.0009135555,0.0008728032,0.00047244175,0.0011879688],"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":[0.00034802675,0.0002138933,0.8699318,0.00018012016,0.0002903328,0.00048964255,0.0010100887,0.0027727128,0.004367314,0.017601127,0.0118010165,0.0909939],"study_design_scores_gemma":[0.000045281773,0.0002293339,0.95738477,0.000076806034,0.0001635798,0.0009981572,0.0012265255,0.003459665,0.0027449653,0.016096309,0.017533122,0.000041556978],"about_ca_topic_score_codex":0.0009716683,"about_ca_topic_score_gemma":0.0017313402,"teacher_disagreement_score":0.017172394,"about_ca_system_score_codex":0.00040638054,"about_ca_system_score_gemma":0.00027000403,"threshold_uncertainty_score":0.057447374},"labels":[],"label_agreement":null},{"id":"W3121857641","doi":"10.1111/j.1755-053x.2012.01221.x","title":"Institutional Investment Horizons and the Cost of Equity Capital","year":2012,"lang":"en","type":"article","venue":"Financial Management","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":136,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Institutional investor; Equity (law); Agency cost; Investment (military); Cost of capital; Equity capital markets; Cost of equity; Economics; Club deal; Equity risk; Private equity fund; Business; New horizons; Private equity firm; Monetary economics; Finance; Financial economics; Private equity; Microeconomics; Corporate governance; Shareholder","score_opus":0.021385482419779705,"score_gpt":0.2219460274819615,"score_spread":0.2005605450621818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121857641","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9834989,0.0012439745,0.0023882238,0.000490412,0.000013879894,0.000021938898,0.00027372898,0.000012207645,0.01205678],"genre_scores_gemma":[0.9991773,0.00016656454,0.00012033081,0.000011221484,0.000015995234,0.000003058864,0.000054667114,0.0000012090561,0.0004497609],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993761,0.00013165709,0.00004069835,0.000078820754,0.00018754086,0.00018512398],"domain_scores_gemma":[0.9601781,0.014384371,0.021081451,0.0007832003,0.001082887,0.0024900618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013082518,0.00028561841,0.00029526604,0.0010868624,0.00030125875,0.0021942786,0.0005342382,0.00063623395,0.0049995156],"category_scores_gemma":[0.014129566,0.00010673143,0.00021435427,0.0009972207,0.0006148984,0.0022320482,0.00091111753,0.00078757026,0.00016773013],"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":[0.0005807123,0.00055400486,0.8096631,0.00024557175,0.00041572106,0.0010359971,0.0005346023,0.046990488,0.0031553726,0.07439017,0.0017243858,0.06070982],"study_design_scores_gemma":[0.00004088713,0.0003197337,0.90069526,0.00010186706,0.0002010632,0.0005057682,0.0008676203,0.040526275,0.0023479965,0.05077124,0.0035321817,0.00009015364],"about_ca_topic_score_codex":0.003134885,"about_ca_topic_score_gemma":0.004021643,"teacher_disagreement_score":0.0049995156,"about_ca_system_score_codex":0.0022540726,"about_ca_system_score_gemma":0.00048170643,"threshold_uncertainty_score":0.016725063},"labels":[],"label_agreement":null},{"id":"W3122627438","doi":"10.1111/j.1755-053x.2009.01058.x","title":"Investment Timing for Dynamic Business Expansion","year":2009,"lang":"en","type":"article","venue":"Financial Management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":19,"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":"Investment (military); Earnings; Economics; Rate of return; Returns to scale; Return on investment; Deferral; Capital (architecture); Return of capital; Monetary economics; Microeconomics; Econometrics; Investment performance; Finance; Production (economics)","score_opus":0.024316130224498807,"score_gpt":0.22527412752161263,"score_spread":0.20095799729711383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122627438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88230777,0.0013717462,0.08583188,0.00093004433,0.00004467745,0.000049663937,0.00014235263,0.00010127173,0.029220562],"genre_scores_gemma":[0.99674594,0.0001687955,0.0016422217,0.000018829965,0.000011574495,0.000008743104,0.000020784339,0.000007119125,0.0013759034],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99969816,0.00006596758,0.000013225513,0.000077284865,0.000053415246,0.00009199711],"domain_scores_gemma":[0.9961868,0.0017701852,0.0012624633,0.00014707625,0.0002167833,0.0004167043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010367067,0.0003013935,0.00035294247,0.0004475272,0.00027091714,0.001179015,0.00044596748,0.0006537788,0.0042851185],"category_scores_gemma":[0.009137644,0.0002763017,0.00020334107,0.00032216642,0.0006192408,0.0018238202,0.0006782011,0.0011275219,0.00032570306],"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":[0.0009196707,0.0002967069,0.036457967,0.00016208949,0.000065088185,0.0021011939,0.00046347038,0.43578625,0.023887366,0.44338956,0.0023488367,0.054121807],"study_design_scores_gemma":[0.000078934645,0.000531172,0.025969269,0.000069158756,0.00007452301,0.00086222653,0.00038468576,0.772874,0.0063598184,0.18802346,0.004698382,0.0000743986],"about_ca_topic_score_codex":0.0009501776,"about_ca_topic_score_gemma":0.0006891408,"teacher_disagreement_score":0.0042851185,"about_ca_system_score_codex":0.0009333009,"about_ca_system_score_gemma":0.00043722978,"threshold_uncertainty_score":0.0143351555},"labels":[],"label_agreement":null},{"id":"W3122879178","doi":"10.1111/j.1755-053x.2012.01183.x","title":"How Do Firms Choose Between Intermediary and Supplier Finance?","year":2012,"lang":"en","type":"article","venue":"Financial Management","topic":"Working Capital and Financial Performance","field":"Business, Management and Accounting","cited_by":43,"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":"Trade credit; Agency (philosophy); Business; Agency cost; Export credit agency; Intermediary; Trade finance; Bank credit; Monetary economics; Empirical evidence; Credit history; Credit enhancement; Economics; Finance; Credit reference; Financial system; Credit risk; Macroeconomics; Corporate governance; Public finance","score_opus":0.009091511805300547,"score_gpt":0.18713783576203832,"score_spread":0.17804632395673778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122879178","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9807371,0.00091979787,0.0014532588,0.003227275,0.000008046402,0.000016412703,0.00024053585,0.000013768064,0.013383778],"genre_scores_gemma":[0.9986242,0.00020035883,0.00009588783,0.00014221531,0.000007710747,0.0000033588171,0.000056423924,0.0000018368801,0.0008681116],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992675,0.0002667505,0.000036420064,0.00010860835,0.00009448791,0.00022623385],"domain_scores_gemma":[0.99343526,0.0033440446,0.0019141412,0.00022334902,0.0002828538,0.00080044335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016671242,0.00013298157,0.0003809905,0.0008341534,0.0005034421,0.0040403795,0.00040182163,0.0018744459,0.010335012],"category_scores_gemma":[0.010483832,0.00022029801,0.00019235584,0.0009387129,0.0010268233,0.0034032576,0.00073920935,0.0007063443,0.0011996375],"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":[0.0009032363,0.00040912846,0.82613176,0.00017544735,0.00016653053,0.00074837543,0.002237882,0.0045017526,0.0024775702,0.044396617,0.0034179888,0.11443365],"study_design_scores_gemma":[0.0002565509,0.00049771176,0.837288,0.00017316015,0.00011674986,0.00083693385,0.017236535,0.009497261,0.0022927078,0.11029519,0.021393882,0.00011528969],"about_ca_topic_score_codex":0.0034326203,"about_ca_topic_score_gemma":0.0055041504,"teacher_disagreement_score":0.010335012,"about_ca_system_score_codex":0.00088034326,"about_ca_system_score_gemma":0.0005244601,"threshold_uncertainty_score":0.03457403},"labels":[],"label_agreement":null},{"id":"W3123040171","doi":"10.1111/j.1755-053x.2010.01088.x","title":"An Empirical Comparison of Convertible Bond Valuation Models","year":2010,"lang":"en","type":"article","venue":"Financial Management","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":36,"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; Carleton University","funders":"","keywords":"Convertible bond; Convertible arbitrage; Valuation (finance); Econometrics; Convertible; Bond valuation; Bond; Economics; Actuarial science; Mathematics; Financial economics; Finance; Engineering; Capital asset pricing model","score_opus":0.10686072051588315,"score_gpt":0.38244229519339323,"score_spread":0.2755815746775101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123040171","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95924217,0.0016594358,0.0250709,0.0007947418,0.00006278228,0.00011095632,0.00075840723,0.000347632,0.011953055],"genre_scores_gemma":[0.9921382,0.000413837,0.005369005,0.000059486996,0.00002144675,0.000033672455,0.0008959131,0.000038892722,0.001029582],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99672925,0.0016909129,0.0001920324,0.0004124084,0.00081082934,0.00016452916],"domain_scores_gemma":[0.97884196,0.015247684,0.001449529,0.002075613,0.0017596398,0.0006256777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011922676,0.0008085484,0.0010003943,0.002264475,0.000455133,0.003055358,0.0021268467,0.0014016265,0.0030349626],"category_scores_gemma":[0.033242892,0.00034348166,0.001166983,0.0019505871,0.0008356909,0.002989801,0.0010023786,0.0016024862,0.00043529892],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021248353,0.00084750593,0.08317453,0.00029542565,0.00082170556,0.00027962762,0.00079167366,0.7423475,0.0008741589,0.07631007,0.0061022146,0.086030774],"study_design_scores_gemma":[0.00015572934,0.0005502188,0.027567647,0.00009614779,0.0001268547,0.00018438442,0.00039105015,0.9406666,0.00083124114,0.026472637,0.0028719667,0.0000855334],"about_ca_topic_score_codex":0.008262626,"about_ca_topic_score_gemma":0.0037998704,"teacher_disagreement_score":0.011922676,"about_ca_system_score_codex":0.0024834129,"about_ca_system_score_gemma":0.00085323956,"threshold_uncertainty_score":0.06305385},"labels":[],"label_agreement":null},{"id":"W3123643017","doi":"10.1111/j.1755-053x.2009.01061.x","title":"The Telling Trades of Mutual Funds","year":2009,"lang":"en","type":"article","venue":"Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Stock (firearms); Exploit; Business; Selection (genetic algorithm); Economics; Mutual fund; Monetary economics; Financial economics; Finance; Computer science","score_opus":0.02432608289372853,"score_gpt":0.2014874106294166,"score_spread":0.17716132773568807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123643017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897391,0.00044750303,0.00034340838,0.00060834095,0.000014003253,0.000007693645,0.00037193322,0.000016229069,0.00845173],"genre_scores_gemma":[0.9979334,0.0001581631,0.00009036613,0.000019170788,0.000016957123,0.0000028951235,0.00015684457,0.0000018249846,0.0016204342],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99959046,0.00010636099,0.000044100518,0.000050506795,0.00011386898,0.00009472156],"domain_scores_gemma":[0.99241054,0.00323584,0.0032549642,0.00044056488,0.00030812726,0.00035001538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011654556,0.00014001473,0.00022436137,0.00094862486,0.0006269371,0.0020310895,0.00032437185,0.0007247788,0.0058710934],"category_scores_gemma":[0.020513058,0.00012531027,0.00020543052,0.0009443505,0.0005110779,0.0016981792,0.0005964217,0.0004983634,0.00061678636],"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":[0.0032711714,0.00021246765,0.71182966,0.00025991868,0.00022438359,0.0017882035,0.0043765907,0.014750222,0.0042608087,0.10704815,0.009621441,0.14235695],"study_design_scores_gemma":[0.000082020626,0.0004552491,0.85085773,0.00011111476,0.00023172113,0.0015931071,0.0035868096,0.038038928,0.0056339228,0.07797517,0.021335915,0.000098408615],"about_ca_topic_score_codex":0.0035980425,"about_ca_topic_score_gemma":0.004770518,"teacher_disagreement_score":0.0058710934,"about_ca_system_score_codex":0.0010581596,"about_ca_system_score_gemma":0.00029750966,"threshold_uncertainty_score":0.019640744},"labels":[],"label_agreement":null},{"id":"W3123747552","doi":"10.1111/j.1755-053x.2012.01213.x","title":"What Drives Security Issuance Decisions: Market Timing, Pecking Order, or Both?","year":2012,"lang":"en","type":"article","venue":"Financial Management","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pecking order; Market timing; Equity (law); Debt; Monetary economics; Business; Pecking order theory; Issuer; Order (exchange); Finance; Capital structure; Economics; Financial system; Initial public offering","score_opus":0.029729991502924907,"score_gpt":0.25068500830947965,"score_spread":0.22095501680655474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123747552","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976688,0.00018454847,0.00013752027,0.00019141367,0.0000040920327,0.000013467755,0.000100162964,0.0000035788005,0.0016964994],"genre_scores_gemma":[0.9992668,0.000076064796,0.00007632806,0.000028045055,0.0000086920145,0.0000025610807,0.00009894301,0.0000022420868,0.00044041846],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993005,0.00011359985,0.00005115846,0.000106637424,0.0001685145,0.00025964508],"domain_scores_gemma":[0.97545654,0.0063130567,0.013809597,0.00072593323,0.0012601982,0.002434767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016276598,0.00018386327,0.00045082625,0.0008835601,0.00070088543,0.002187036,0.0004462156,0.0008995489,0.00455713],"category_scores_gemma":[0.012395652,0.0002078516,0.00028431104,0.0011586695,0.00087617285,0.00096646184,0.00043660065,0.0007744557,0.0004931923],"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":[0.000121044475,0.00015074619,0.99076605,0.000013176025,0.000028046785,0.000083512525,0.0003290195,0.0003398218,0.0006283863,0.00036202933,0.00024599314,0.0069320668],"study_design_scores_gemma":[0.0000064802634,0.000056349392,0.99781215,0.0000068480413,0.000011352562,0.000027032609,0.00045425905,0.000728265,0.00013512206,0.00039154798,0.00036298536,0.000007550387],"about_ca_topic_score_codex":0.0979432,"about_ca_topic_score_gemma":0.18771127,"teacher_disagreement_score":0.0979432,"about_ca_system_score_codex":0.0015082073,"about_ca_system_score_gemma":0.0020854918,"threshold_uncertainty_score":0.1947462},"labels":[],"label_agreement":null},{"id":"W3124952281","doi":"10.1111/j.1755-053x.2008.00032.x","title":"Do Voting Rights Affect Institutional Investment Decisions? Evidence from Dual‐Class Firms","year":2008,"lang":"en","type":"article","venue":"Financial Management","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":78,"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":"Fiduciary; Voting; Institutional investor; Shareholder; Business; Affect (linguistics); Investment (military); Dual (grammatical number); Investment decisions; Monetary economics; Class (philosophy); Corporate governance; Proxy voting; Finance; Accounting; Economics; Disapproval voting; Law; Behavioral economics; Politics; Political science","score_opus":0.042052623910033525,"score_gpt":0.233034087470629,"score_spread":0.19098146356059548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124952281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99742186,0.00016912755,0.00006579635,0.0002492968,0.0000040129485,0.0000036748263,0.00014124614,9.642821e-7,0.0019440464],"genre_scores_gemma":[0.99934024,0.0000751465,0.000023172583,0.000033373035,0.0000105917925,0.0000017913787,0.00013912648,6.777218e-7,0.00037586925],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987318,0.00029983083,0.00009143234,0.00022275525,0.00020119347,0.00045292973],"domain_scores_gemma":[0.95721036,0.0114916945,0.025156962,0.0020889447,0.0010829404,0.0029690852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020498743,0.00018304482,0.00041429797,0.00097415654,0.0004471481,0.0013521943,0.00048241476,0.0006778703,0.0067675137],"category_scores_gemma":[0.012923009,0.00016191143,0.00034213474,0.0009010281,0.0007299411,0.0011877709,0.001176942,0.0008315801,0.0006501814],"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":[0.0003794111,0.00019564973,0.9897683,0.000019393849,0.00007826015,0.00010051083,0.00032681183,0.000125689,0.00045308404,0.00070466654,0.00024532905,0.00760292],"study_design_scores_gemma":[0.000028667651,0.00012956648,0.9968298,0.000013238802,0.000045900295,0.00007906483,0.00060427544,0.0003833561,0.0003792376,0.0005082042,0.0009910612,0.0000075667303],"about_ca_topic_score_codex":0.007264311,"about_ca_topic_score_gemma":0.008521256,"teacher_disagreement_score":0.007264311,"about_ca_system_score_codex":0.0003756699,"about_ca_system_score_gemma":0.00021423779,"threshold_uncertainty_score":0.022639573},"labels":[],"label_agreement":null},{"id":"W3125259707","doi":"10.1111/j.1755-053x.2010.01089.x","title":"Default Risk in Corporate Yield Spreads","year":2010,"lang":"en","type":"article","venue":"Financial Management","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Héma-Québec; Business Development Bank of Canada; HEC Montréal","funders":"","keywords":"Default risk; Yield (engineering); Credit risk; Economics; Econometrics; Default; Loss given default; Ex-ante; Probability of default; Credit spread (options); Financial economics; Actuarial science; Business; Finance; Microeconomics; Capital requirement","score_opus":0.02678039588065302,"score_gpt":0.20181969367511254,"score_spread":0.17503929779445954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125259707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9286123,0.002042681,0.057347246,0.0005777633,0.00003156582,0.000037024784,0.0005424673,0.0002538884,0.010555078],"genre_scores_gemma":[0.9977574,0.00036433444,0.0010776152,0.000024282475,0.000023230683,0.000006199438,0.00012694407,0.000012502743,0.00060751283],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976216,0.0007393468,0.00022011886,0.000551013,0.0007170062,0.00015090694],"domain_scores_gemma":[0.9478587,0.034023978,0.010303086,0.0046016066,0.00280982,0.00040283584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058505014,0.00029796356,0.0006951112,0.002294414,0.00025337393,0.0017919436,0.00066824845,0.00097290624,0.0030481552],"category_scores_gemma":[0.07595004,0.00039504477,0.00042853082,0.0018562345,0.0011338352,0.0027442805,0.0011077463,0.0012983654,0.0005983086],"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":[0.0009287783,0.00012723838,0.4854777,0.00032101927,0.0006270321,0.0011799496,0.001509124,0.21533604,0.011486839,0.1198546,0.0024334597,0.16071832],"study_design_scores_gemma":[0.000044741377,0.0001872247,0.5941929,0.00023307669,0.00019512638,0.0017695768,0.0005387715,0.19500697,0.012101871,0.19171324,0.0038589863,0.0001574539],"about_ca_topic_score_codex":0.0010473188,"about_ca_topic_score_gemma":0.0004504463,"teacher_disagreement_score":0.0058505014,"about_ca_system_score_codex":0.00067236344,"about_ca_system_score_gemma":0.00016001977,"threshold_uncertainty_score":0.03094083},"labels":[],"label_agreement":null},{"id":"W3125733018","doi":"10.1111/j.1755-053x.2008.00006.x","title":"An Empirical Analysis of the Stockholder‐Bondholder Conflict in Corporate Spin‐Offs","year":2008,"lang":"en","type":"article","venue":"Financial Management","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":36,"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":"Leverage (statistics); Stock (firearms); Bond; Monetary economics; Event study; Shareholder; Dividend; Business; Corporate bond; Financial economics; Economics; Econometrics; Corporate governance; Finance; Mathematics; Statistics","score_opus":0.05277243955162417,"score_gpt":0.25755869378527924,"score_spread":0.20478625423365507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125733018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991449,0.00007701862,0.00009773548,0.000052119074,0.0000021683768,0.0000038805974,0.000028245886,0.0000015053205,0.0005924523],"genre_scores_gemma":[0.99977666,0.000026039272,0.000024225852,0.000009165391,0.000006494607,0.0000014997189,0.000045668236,6.3493013e-7,0.000109791814],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918765,0.00028993434,0.00006406697,0.00009069153,0.00015918589,0.00020849118],"domain_scores_gemma":[0.96492875,0.018320097,0.012640349,0.0009941915,0.00071510894,0.0024014253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019018168,0.00018423304,0.00037805812,0.0005756148,0.0004221659,0.0014394938,0.00044887298,0.0006493463,0.00386256],"category_scores_gemma":[0.014889512,0.00016827864,0.00028670425,0.0007469207,0.0008185679,0.0008392472,0.0007507903,0.0013227819,0.00038620108],"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":[0.00077947794,0.00062865653,0.983331,0.000025181778,0.00012403585,0.00044897647,0.00038150625,0.0013238108,0.0011589933,0.0012178902,0.00031885027,0.01026152],"study_design_scores_gemma":[0.000026961052,0.00031440248,0.9901148,0.000011249568,0.00006501163,0.00022167292,0.00077418576,0.0067035984,0.00042983808,0.00095849636,0.00036697375,0.000012879405],"about_ca_topic_score_codex":0.0019148781,"about_ca_topic_score_gemma":0.0018502746,"teacher_disagreement_score":0.00386256,"about_ca_system_score_codex":0.00043869688,"about_ca_system_score_gemma":0.00026458196,"threshold_uncertainty_score":0.012921572},"labels":[],"label_agreement":null},{"id":"W3136873470","doi":"10.1111/fima.12350","title":"Heterogeneous preferences, investment, and asset pricing","year":2021,"lang":"en","type":"article","venue":"Financial Management","topic":"Economic theories and models","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":"University of Manitoba","funders":"","keywords":"Economics; Volatility (finance); Capital asset pricing model; Tobin's q; Monetary economics; Consumption-based capital asset pricing model; Risk premium; Consumption (sociology); Volatility risk premium; Exchange rate; Exchange economy; Volatility smile; Financial economics; Econometrics; Microeconomics","score_opus":0.0268121844629805,"score_gpt":0.19810031890031332,"score_spread":0.17128813443733282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136873470","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8916542,0.0008969714,0.07102655,0.0033778187,0.000052587926,0.000031015457,0.00034314662,0.000045108634,0.032572545],"genre_scores_gemma":[0.9968732,0.00015341106,0.00075966184,0.000042438187,0.000011469819,0.0000064561614,0.00002757908,0.0000023036184,0.0021233459],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99967456,0.00016852694,0.0000083565155,0.00004510649,0.000038272803,0.00006522971],"domain_scores_gemma":[0.99872273,0.0006798843,0.00028624048,0.00008983751,0.000058838883,0.00016252724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079203816,0.00033213815,0.00041823534,0.00029813265,0.00027744443,0.002006857,0.0004707414,0.0008383948,0.0032697902],"category_scores_gemma":[0.002994302,0.00025095555,0.00031307156,0.0004944567,0.0008284225,0.0016020988,0.0005934827,0.0010526147,0.00024866808],"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":[0.00022249314,0.00021526332,0.017503068,0.000050919305,0.00015501982,0.0010510631,0.00030515884,0.4305473,0.0015465223,0.5340677,0.0017395263,0.012596002],"study_design_scores_gemma":[0.00010459988,0.00008154284,0.008956213,0.000027594862,0.000048550355,0.00020516434,0.00020898173,0.5925889,0.0002894447,0.39555538,0.0018993755,0.00003419037],"about_ca_topic_score_codex":0.004705397,"about_ca_topic_score_gemma":0.002705668,"teacher_disagreement_score":0.004705397,"about_ca_system_score_codex":0.001053059,"about_ca_system_score_gemma":0.00035936027,"threshold_uncertainty_score":0.010938525},"labels":[],"label_agreement":null},{"id":"W3176751622","doi":"10.1111/fima.12368","title":"Ultimate ownership and bank competition","year":2021,"lang":"en","type":"article","venue":"Financial Management","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":165,"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":"Variation (astronomy); Index (typography); Competition (biology); Herfindahl index; Business; Monetary economics; Limit (mathematics); Economics; Econometrics; Financial system; Mathematics","score_opus":0.019845669726889763,"score_gpt":0.21123365274945172,"score_spread":0.19138798302256196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3176751622","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99372864,0.00032301553,0.00023899584,0.0003203585,0.0000045303254,0.0000033776116,0.00011157541,0.0000055652463,0.0052639474],"genre_scores_gemma":[0.9994715,0.00003146131,0.000020943942,0.000015592714,0.0000071229842,0.0000012182887,0.00004364239,0.0000010567971,0.0004075203],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991725,0.00023784048,0.00006429037,0.00014843236,0.00018658079,0.00019036877],"domain_scores_gemma":[0.97920144,0.007941756,0.008669379,0.00077088963,0.00094220653,0.0024742295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014892359,0.00010668208,0.0003113131,0.00083001226,0.0004177094,0.0021183256,0.00042541008,0.00047646888,0.008416049],"category_scores_gemma":[0.011237295,0.00010328929,0.00016325848,0.0009023688,0.0012565318,0.0010727502,0.0012196184,0.00058654253,0.0005397581],"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":[0.00018133524,0.00017552548,0.96558696,0.000027727967,0.00009265797,0.00030607017,0.00065338355,0.0027744886,0.00067632616,0.014064394,0.0010305368,0.0144305965],"study_design_scores_gemma":[0.000024749783,0.000111255395,0.9744879,0.000037481917,0.00004166352,0.00033905925,0.0007996619,0.006171873,0.00046587942,0.015446893,0.0020498703,0.000023706805],"about_ca_topic_score_codex":0.0035493274,"about_ca_topic_score_gemma":0.0035800014,"teacher_disagreement_score":0.008416049,"about_ca_system_score_codex":0.00092824694,"about_ca_system_score_gemma":0.00055528275,"threshold_uncertainty_score":0.028154492},"labels":[],"label_agreement":null},{"id":"W3185690996","doi":"10.1111/fima.12374","title":"Presidential power and stock returns","year":2021,"lang":"en","type":"article","venue":"Financial Management","topic":"Political Influence and Corporate Strategies","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":"University of Regina","funders":"","keywords":"Presidency; Presidential system; Politics; Economics; Political capital; Stock (firearms); Political risk; Stock exchange; Monetary economics; Financial economics; Finance; Political science","score_opus":0.014500308929574528,"score_gpt":0.22034837394663648,"score_spread":0.20584806501706196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185690996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9883101,0.0007827187,0.00011792691,0.0006445242,0.000025994172,0.0000043444015,0.0002566142,0.000014569051,0.009843189],"genre_scores_gemma":[0.9987055,0.00015617814,0.000016448594,0.000024213841,0.00008928548,0.0000013863863,0.00011665162,0.0000018333509,0.00088851765],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995435,0.0001369552,0.00003103139,0.000060425187,0.0001344445,0.00009365907],"domain_scores_gemma":[0.9727006,0.0071633537,0.015251551,0.00057280815,0.0010490587,0.0032626407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010006297,0.00017617644,0.00028071823,0.0009290923,0.00024387888,0.0016335174,0.00018658266,0.0004660362,0.008794359],"category_scores_gemma":[0.009763666,0.000087775865,0.00015305412,0.0010156841,0.00035883856,0.0005035808,0.0004675069,0.00074191764,0.0013608944],"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":[0.00018804538,0.00014880722,0.98190826,0.0000279784,0.00014726304,0.00014069933,0.00011302199,0.0006316937,0.00050749164,0.0012364896,0.0013864374,0.013563701],"study_design_scores_gemma":[0.0000065782338,0.000059908554,0.9975591,0.0000075214393,0.000023347833,0.00004778249,0.000082864586,0.0006538661,0.00018687255,0.00050997356,0.0008574628,0.0000046630603],"about_ca_topic_score_codex":0.0015777677,"about_ca_topic_score_gemma":0.0021724994,"teacher_disagreement_score":0.008794359,"about_ca_system_score_codex":0.0002735847,"about_ca_system_score_gemma":0.00017003689,"threshold_uncertainty_score":0.029420078},"labels":[],"label_agreement":null},{"id":"W4210334147","doi":"10.1111/fima.12389","title":"Individual investors' dispersion in beliefs and stock returns","year":2022,"lang":"en","type":"article","venue":"Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":27,"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 Manitoba","funders":"National Natural Science Foundation of China","keywords":"Stock (firearms); Dispersion (optics); Volatility (finance); Affect (linguistics); Economics; Financial economics; Monetary economics; Econometrics; Psychology; Geography","score_opus":0.025558226724484392,"score_gpt":0.19932368852878987,"score_spread":0.17376546180430547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210334147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987091,0.00006739427,0.00037693503,0.000043675238,0.0000016217493,0.0000032891344,0.00009125309,0.0000038566704,0.00070273277],"genre_scores_gemma":[0.9997757,0.000018671863,0.00007223571,0.0000042546717,0.0000032326466,0.0000012420011,0.00004318713,4.2351527e-7,0.00008114424],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995554,0.00012386737,0.000058539437,0.00006867851,0.00012656822,0.000066977685],"domain_scores_gemma":[0.9767224,0.010542406,0.009616475,0.0010806568,0.0009981743,0.001039831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016208028,0.00020984927,0.00031439777,0.0009840961,0.00016571344,0.0010929696,0.00022291314,0.00052062,0.0018197118],"category_scores_gemma":[0.014667471,0.00016572955,0.0001588395,0.00071285176,0.00031477748,0.00064878276,0.0004479273,0.0005348231,0.00023674495],"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":[0.00011933918,0.00008791098,0.9918858,0.000009001586,0.00015197466,0.00005034898,0.00020871579,0.0019022757,0.00059030746,0.00041635195,0.0000862682,0.004491726],"study_design_scores_gemma":[0.000010623348,0.00008738733,0.9913811,0.000011766501,0.000033175,0.000091562266,0.00025345996,0.0060683684,0.00037755104,0.001472191,0.00019997607,0.000012776742],"about_ca_topic_score_codex":0.0019882282,"about_ca_topic_score_gemma":0.0017087213,"teacher_disagreement_score":0.0019882282,"about_ca_system_score_codex":0.00036508744,"about_ca_system_score_gemma":0.000108152846,"threshold_uncertainty_score":0.008571684},"labels":[],"label_agreement":null},{"id":"W4294751131","doi":"10.1111/fima.12360","title":"Issue Information","year":2022,"lang":"en","type":"paratext","venue":"Financial Management","topic":"Diverse Scientific and Economic Studies","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 Toronto; York University","funders":"","keywords":"Citation; Computer science; Information retrieval; World Wide Web; Internet privacy; Library science","score_opus":0.019507603573428702,"score_gpt":0.19458355795065582,"score_spread":0.17507595437722712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294751131","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00024934608,0.0011334448,0.00025158012,0.0027466915,0.009169519,0.00015885764,0.028279684,0.001059883,0.95695096],"genre_scores_gemma":[0.0006503484,0.00036449175,0.00007431814,0.0006951669,0.00077759346,0.000057937614,0.004477668,0.00029290054,0.9926097],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99883336,0.00010399374,0.00008612935,0.0001656325,0.0006124006,0.00019849853],"domain_scores_gemma":[0.9971716,0.00050546357,0.0002261815,0.0003766459,0.0010968493,0.00062332134],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008673791,0.0014636891,0.001429497,0.0044673705,0.002059445,0.009562339,0.0014658615,0.0032514837,0.88119155],"category_scores_gemma":[0.006570689,0.0007304296,0.00077942136,0.0050003123,0.00065923785,0.0043244706,0.0023968255,0.002537442,0.848005],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014604602,0.0000066554976,0.000037023627,0.00007619611,7.577378e-7,0.000012064958,0.000010820735,0.000013194322,0.00004482334,0.00063940696,0.98980755,0.0093369],"study_design_scores_gemma":[0.0000113011265,0.000007967565,0.0004921941,0.00008176741,0.0000015773304,0.000014041482,0.000022102344,0.00002807291,0.00004537529,0.00034703026,0.9989447,0.0000038511253],"about_ca_topic_score_codex":0.014543744,"about_ca_topic_score_gemma":0.031376857,"teacher_disagreement_score":0.11880845,"about_ca_system_score_codex":0.0028258318,"about_ca_system_score_gemma":0.0028884767,"threshold_uncertainty_score":0.16946584},"labels":[],"label_agreement":null},{"id":"W4295868774","doi":"10.1111/fima.12408","title":"Is it time for popcorn? Daily box office earnings and aggregate stock returns","year":2022,"lang":"en","type":"article","venue":"Financial Management","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":"University of Waterloo","funders":"","keywords":"Earnings; Stock (firearms); Economics; Consumption (sociology); Stock market; Yield (engineering); Aggregate (composite); Econometrics; Monetary economics; Financial economics; Finance","score_opus":0.025329682300245068,"score_gpt":0.21458611206817102,"score_spread":0.18925642976792595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295868774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980539,0.00013664301,0.00024005532,0.00015997491,0.000010531414,0.000002178262,0.00019456074,0.000005326942,0.001196782],"genre_scores_gemma":[0.99925286,0.00008074895,0.00007889684,0.000029456161,0.000025696116,0.0000014925456,0.0001690297,0.0000030001272,0.00035877113],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987674,0.00002615757,0.000009483878,0.000030080058,0.00002795125,0.000029431463],"domain_scores_gemma":[0.99540097,0.0012674595,0.0024225987,0.00023207591,0.0001878308,0.000489146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048027912,0.00015659096,0.00023851148,0.00045861574,0.00014159648,0.0009014928,0.00016728674,0.00039536046,0.0036042964],"category_scores_gemma":[0.0051910817,0.00009280831,0.00014229637,0.0006066782,0.00034042902,0.00068623584,0.00030813002,0.00040437316,0.00041221865],"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":[0.00041764707,0.00012833282,0.98084956,0.000023681432,0.00011047649,0.00015346306,0.00017240137,0.0010338584,0.001489773,0.0014237216,0.000730969,0.013466092],"study_design_scores_gemma":[0.0000046761975,0.0000654132,0.9953733,0.000013797111,0.000022290453,0.000057980193,0.0002970516,0.0015851419,0.00040904843,0.0015081828,0.0006536285,0.000009455705],"about_ca_topic_score_codex":0.0025369304,"about_ca_topic_score_gemma":0.003751407,"teacher_disagreement_score":0.0036042964,"about_ca_system_score_codex":0.00023942192,"about_ca_system_score_gemma":0.00014573343,"threshold_uncertainty_score":0.012057543},"labels":[],"label_agreement":null},{"id":"W4307641163","doi":"10.1111/fima.12411","title":"Do investors affect financial analysts’ behavior? Evidence from short sellers","year":2022,"lang":"en","type":"article","venue":"Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","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":"University of British Columbia","funders":"","keywords":"Affect (linguistics); Earnings; Quality (philosophy); Business; Finance; Monetary economics; Economics","score_opus":0.05488824365829716,"score_gpt":0.2398550625627955,"score_spread":0.18496681890449834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307641163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99679166,0.00009888297,0.0006319041,0.00034467236,0.00001899538,0.000019930962,0.000062621395,0.000009048808,0.0020221542],"genre_scores_gemma":[0.9986811,0.00005496353,0.00041176443,0.00014584145,0.000021915315,0.000019857192,0.00003723231,0.0000042399047,0.0006231669],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99861765,0.0007685258,0.00010202828,0.00017070529,0.00027127948,0.00006979776],"domain_scores_gemma":[0.92208403,0.05093664,0.020023927,0.0036458536,0.0014723039,0.0018372461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004140481,0.00021590207,0.00041045024,0.00026018993,0.0003005636,0.0012080232,0.00024398121,0.0010500497,0.0043622227],"category_scores_gemma":[0.037291862,0.00027209937,0.0001867993,0.00014959955,0.00045539837,0.0010261548,0.00048650854,0.00090641977,0.00037688698],"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":[0.014302118,0.007007765,0.8439189,0.00034268235,0.0006404598,0.00064700615,0.003665054,0.0063871685,0.040289316,0.0060058315,0.0032812406,0.07351239],"study_design_scores_gemma":[0.0015719584,0.00854028,0.9194649,0.00007635887,0.00035516926,0.000354599,0.0026123263,0.029269625,0.016270384,0.014680694,0.0066364706,0.00016735589],"about_ca_topic_score_codex":0.000817248,"about_ca_topic_score_gemma":0.0009922278,"teacher_disagreement_score":0.0043622227,"about_ca_system_score_codex":0.00025898262,"about_ca_system_score_gemma":0.00021110999,"threshold_uncertainty_score":0.021897197},"labels":[],"label_agreement":null},{"id":"W4319794944","doi":"10.1111/fima.12416","title":"Pricing strategies in BigTech lending: Evidence from China","year":2023,"lang":"en","type":"article","venue":"Financial Management","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":6,"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 Manitoba","funders":"","keywords":"Business; Credit rating; Credit default swap index; Loan; Interest rate; Credit reference; Credit risk; Credit card interest; Commission; China; Credit enhancement; Finance; Financial system; Monetary economics; Economics","score_opus":0.0368662079900819,"score_gpt":0.2497686478950934,"score_spread":0.2129024399050115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319794944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987863,0.00009190374,0.00011189628,0.0000988201,0.0000017508942,0.0000075665066,0.00009769061,0.0000052618598,0.00079883187],"genre_scores_gemma":[0.9994567,0.00006840387,0.000041449497,0.000022680782,0.0000043985106,0.0000024586427,0.00012660945,0.000001111757,0.00027622998],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993274,0.0001961752,0.000039750335,0.00009133789,0.00020942913,0.00013585911],"domain_scores_gemma":[0.99402493,0.0014852687,0.002494636,0.0005083924,0.0008343395,0.00065253145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018479016,0.0002375039,0.0004196375,0.0013053915,0.00074694026,0.0011520084,0.0007373769,0.0005061496,0.0018602809],"category_scores_gemma":[0.004032612,0.00021061198,0.00040149712,0.0021077744,0.001315287,0.000889818,0.0007766914,0.00054750044,0.0001703246],"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":[0.00023918749,0.00029673832,0.96975636,0.00007000876,0.00010656175,0.00062196376,0.0016082213,0.0048017153,0.0006453494,0.003400112,0.001708046,0.016745796],"study_design_scores_gemma":[0.000046330504,0.000091774134,0.98156744,0.000015887035,0.000043520868,0.00006911334,0.0011806281,0.014111584,0.0004501438,0.0012303407,0.0011669563,0.000026219384],"about_ca_topic_score_codex":0.0695858,"about_ca_topic_score_gemma":0.063177444,"teacher_disagreement_score":0.0695858,"about_ca_system_score_codex":0.0018386112,"about_ca_system_score_gemma":0.0012132019,"threshold_uncertainty_score":0.13836151},"labels":[],"label_agreement":null},{"id":"W4386294782","doi":"10.1111/fima.12434","title":"Overselling corporate social responsibility","year":2023,"lang":"en","type":"article","venue":"Financial Management","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University; Dalhousie University","funders":"","keywords":"Corporate social responsibility; Valuation (finance); Narrative; Corporate governance; Earnings; Phenomenon; Equity (law); Accounting; Business; Stock (firearms); Monetary economics; Financial economics; Economics; Finance; Public relations; Law; Political science","score_opus":0.05695873580104724,"score_gpt":0.26385202151309284,"score_spread":0.2068932857120456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386294782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9401215,0.00031631146,0.0026090434,0.0017470927,0.00005844643,0.000016215597,0.000041552372,0.000043029653,0.055046838],"genre_scores_gemma":[0.99873275,0.000042537184,0.0001636576,0.000054196415,0.000013868772,0.0000024780777,0.000009997593,0.0000044124636,0.0009761852],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963995,0.0016115629,0.00010589221,0.00028004416,0.0010998176,0.00050329464],"domain_scores_gemma":[0.9708891,0.009433819,0.011181424,0.003107883,0.0025254274,0.002862405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030832496,0.00019162634,0.00017017491,0.0013290124,0.0019843897,0.0047975066,0.00048268633,0.0005288979,0.003903171],"category_scores_gemma":[0.013559496,0.00012616393,0.00018617924,0.0007190573,0.0030920368,0.0029196246,0.004889255,0.0012219091,0.00023972802],"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":[0.000254751,0.00031607968,0.5138303,0.00025806285,0.00015251708,0.0011234503,0.16922006,0.0017714754,0.008252587,0.056535397,0.008962358,0.23932284],"study_design_scores_gemma":[0.00001103406,0.00037365194,0.61014706,0.00029511773,0.000043441985,0.00064459204,0.23234828,0.0033166094,0.003389138,0.0342266,0.11507821,0.00012619891],"about_ca_topic_score_codex":0.0037935274,"about_ca_topic_score_gemma":0.00664787,"teacher_disagreement_score":0.0047975066,"about_ca_system_score_codex":0.0019942694,"about_ca_system_score_gemma":0.0015594965,"threshold_uncertainty_score":0.016305923},"labels":[],"label_agreement":null},{"id":"W4396905203","doi":"10.1111/fima.12453","title":"On the anomaly tilts of factor funds","year":2024,"lang":"en","type":"article","venue":"Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","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":"University of Ottawa","funders":"","keywords":"Portfolio; Anomaly (physics); Econometrics; Economics; Financial economics; Physics","score_opus":0.03235643625961194,"score_gpt":0.20775907376683297,"score_spread":0.17540263750722104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396905203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99749714,0.00014599132,0.0010205897,0.00005775228,0.000005981415,0.0000031006027,0.00008765684,0.000027578715,0.0011542693],"genre_scores_gemma":[0.99974567,0.000023709354,0.000109995286,0.0000047184362,0.000007313021,4.981188e-7,0.000039165945,0.0000021028484,0.00006680076],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993063,0.00013772957,0.00006305406,0.0001087528,0.00024614044,0.00013800831],"domain_scores_gemma":[0.9937127,0.0023759045,0.0023870738,0.0005599496,0.0006147873,0.00034950837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018377134,0.000307187,0.000541399,0.0014022613,0.00018182419,0.001460007,0.00024015877,0.00037689236,0.0020297398],"category_scores_gemma":[0.014588686,0.000111867506,0.00021350979,0.0011555777,0.00065244676,0.0012778857,0.00070423447,0.00047586064,0.0003209671],"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":[0.0014058154,0.00010420311,0.8578238,0.00006336424,0.0002452432,0.00043469673,0.00030173684,0.037639834,0.009830125,0.010743902,0.001337798,0.08006947],"study_design_scores_gemma":[0.00004396065,0.0004113105,0.8896454,0.00002587855,0.00011926142,0.0004014864,0.00042847503,0.08468898,0.007939806,0.014446359,0.0017741725,0.0000749295],"about_ca_topic_score_codex":0.0016792775,"about_ca_topic_score_gemma":0.0009812416,"teacher_disagreement_score":0.0020297398,"about_ca_system_score_codex":0.000591621,"about_ca_system_score_gemma":0.0002267392,"threshold_uncertainty_score":0.009718895},"labels":[],"label_agreement":null},{"id":"W4400210315","doi":"10.1111/fima.12468","title":"The disclosure perspective of firm‐specific political risk measure from conference calls","year":2024,"lang":"en","type":"article","venue":"Financial Management","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Memorial University of Newfoundland","keywords":"Perspective (graphical); Measure (data warehouse); Business; Politics; Accounting; Political science; Computer science; Law; Data mining","score_opus":0.010717786260388723,"score_gpt":0.2126281992652746,"score_spread":0.20191041300488588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400210315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96730506,0.0014196112,0.008344866,0.0014445571,0.00009758402,0.000049379563,0.0008390653,0.000055935066,0.02044394],"genre_scores_gemma":[0.9990163,0.00009142551,0.00030486943,0.000031796888,0.00004283569,0.0000065306563,0.00013866235,0.0000023929956,0.00036518276],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960349,0.0016788366,0.00041574414,0.00031233148,0.0012309027,0.0003272884],"domain_scores_gemma":[0.93958664,0.02702653,0.023677062,0.003355764,0.0050231395,0.0013309823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042273076,0.00022861519,0.00021606601,0.002266566,0.00040372432,0.0026071044,0.00030874813,0.00065415056,0.0027652527],"category_scores_gemma":[0.040233377,0.000106197425,0.00035613563,0.001698914,0.0006632468,0.0017310334,0.00136748,0.001053034,0.00029262225],"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":[0.00069059536,0.0002624611,0.8337464,0.0002757387,0.00036152374,0.00049240526,0.0029228558,0.011873192,0.003269088,0.022304393,0.0037767794,0.12002465],"study_design_scores_gemma":[0.000031418684,0.00057724124,0.92660564,0.00020148601,0.0002910247,0.00095136283,0.0031014052,0.032794986,0.0062180525,0.017375188,0.01174708,0.00010514826],"about_ca_topic_score_codex":0.0010885389,"about_ca_topic_score_gemma":0.00083618,"teacher_disagreement_score":0.0042273076,"about_ca_system_score_codex":0.0007064551,"about_ca_system_score_gemma":0.0004618321,"threshold_uncertainty_score":0.02235645},"labels":[],"label_agreement":null},{"id":"W4401783254","doi":"10.1111/fima.12471","title":"Disagreement exploitation and the cross‐section of hedge fund performance","year":2024,"lang":"en","type":"article","venue":"Financial Management","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":"Carleton University; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Hedge fund; Section (typography); Business; Hedge; Economics; Financial economics; Finance; Advertising","score_opus":0.03185360034974635,"score_gpt":0.2275939349347143,"score_spread":0.19574033458496795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401783254","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969656,0.00027919095,0.0013654891,0.000051070823,0.000007189544,0.0000062538224,0.00008596928,0.000016207016,0.0012230421],"genre_scores_gemma":[0.9995221,0.000029093708,0.000084416984,0.000007148191,0.000012399519,0.0000029966259,0.00010849097,0.0000025801778,0.00023080288],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983897,0.0003873429,0.00021420156,0.00029229507,0.0004645106,0.00025185998],"domain_scores_gemma":[0.96217763,0.01968844,0.011790604,0.0024728796,0.002203627,0.001666779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0068341973,0.0004242245,0.0006139618,0.0017787055,0.00029490198,0.0021409509,0.0004986542,0.0010091575,0.0025425907],"category_scores_gemma":[0.02808693,0.00023808522,0.00046154074,0.0010605772,0.00057887135,0.001742146,0.0018263741,0.00067620527,0.00044605398],"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":[0.00062818214,0.00017178754,0.96691906,0.000040401694,0.0006417398,0.00027072665,0.00019566808,0.015347835,0.0028643452,0.0018924429,0.00029067532,0.010737024],"study_design_scores_gemma":[0.000018879793,0.0002679387,0.96251845,0.00001820024,0.00009082122,0.00028466003,0.00017524522,0.02989272,0.0022847222,0.0039193523,0.0004922896,0.000036779104],"about_ca_topic_score_codex":0.00067754416,"about_ca_topic_score_gemma":0.00028119073,"teacher_disagreement_score":0.0068341973,"about_ca_system_score_codex":0.00044918526,"about_ca_system_score_gemma":0.00017975339,"threshold_uncertainty_score":0.036143124},"labels":[],"label_agreement":null},{"id":"W4407078553","doi":"10.1111/fima.12497","title":"The Value of Investor Sophistication","year":2025,"lang":"en","type":"article","venue":"Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"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 Manitoba; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia; University of Northern British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; University of Northern British Columbia; Arkansas State University","keywords":"Sophistication; Volatility (finance); Econometrics; Financial economics; Economics; Robustness (evolution); Stock (firearms); Stock market; Monetary economics; Biology","score_opus":0.015168892134731975,"score_gpt":0.20815195483427082,"score_spread":0.19298306269953885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407078553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9857282,0.0004459961,0.005349919,0.0005929479,0.0000098653445,0.000012641912,0.00013961269,0.000022493185,0.007698394],"genre_scores_gemma":[0.9994709,0.000045901845,0.00027567075,0.000013069382,0.00001439701,0.0000017490725,0.000025418742,0.0000018176031,0.00015105655],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984144,0.00064658874,0.00016506812,0.0002663507,0.0003300659,0.00017749095],"domain_scores_gemma":[0.9292315,0.04156241,0.021137265,0.0040625823,0.002000481,0.002005807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029179482,0.0002749287,0.0005077426,0.0012570214,0.00029639874,0.0029371546,0.00042290156,0.00074127276,0.002647554],"category_scores_gemma":[0.035410695,0.00025889918,0.0002884975,0.00087386917,0.0011434185,0.0023945405,0.0016276087,0.00096835033,0.00020270517],"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":[0.00065757026,0.00013349365,0.8496274,0.00017329385,0.00087322685,0.0011523138,0.0016891279,0.028627953,0.0057956567,0.054394137,0.0007572735,0.056118656],"study_design_scores_gemma":[0.0000442558,0.00032000334,0.7882397,0.00012583114,0.00023205507,0.0010184787,0.0010700033,0.08332794,0.0032202497,0.11952706,0.0027197716,0.00015473051],"about_ca_topic_score_codex":0.00066235365,"about_ca_topic_score_gemma":0.00047740992,"teacher_disagreement_score":0.0029371546,"about_ca_system_score_codex":0.00060150586,"about_ca_system_score_gemma":0.00027248904,"threshold_uncertainty_score":0.015431762},"labels":[],"label_agreement":null},{"id":"W4414342025","doi":"10.1111/fima.70010","title":"Speed Bump and Stock Market Quality: Evidence From NYSE American","year":2025,"lang":"en","type":"article","venue":"Financial Management","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 Victoria; Huron Technologies (Canada)","funders":"","keywords":"Market liquidity; Stock exchange; SWORD; Stock (firearms); Market maker; Stock market","score_opus":0.04174873566985494,"score_gpt":0.2640651789407565,"score_spread":0.22231644327090155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414342025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99584514,0.00042050733,0.00021960854,0.0003117239,0.000015341055,0.000012917059,0.0006994704,0.0000088791285,0.0024664435],"genre_scores_gemma":[0.9984054,0.0002559217,0.000106603184,0.000050962917,0.000044735876,0.000006446843,0.00072288926,0.0000049408213,0.00040221095],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99841523,0.0004685012,0.0001961476,0.00016709816,0.00064117304,0.00011180182],"domain_scores_gemma":[0.9167867,0.025767347,0.046754494,0.003725277,0.0045246584,0.0024415147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044408916,0.00023276004,0.0004736687,0.0018410158,0.00044120036,0.0019235545,0.000394532,0.00077582186,0.0031900485],"category_scores_gemma":[0.029089246,0.00023696806,0.00029709528,0.002364174,0.0007710213,0.0012851616,0.00080040045,0.0010110321,0.00047405288],"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":[0.0004044174,0.00015409767,0.9914014,0.000022960648,0.00016205871,0.00006881179,0.00013212224,0.0004973959,0.00030823547,0.00049835927,0.0008823635,0.005467826],"study_design_scores_gemma":[0.000028930459,0.00007588999,0.99739933,0.0000115170305,0.000035634144,0.000032940046,0.000114843955,0.001111909,0.00015357534,0.0003054187,0.00071803905,0.000011979529],"about_ca_topic_score_codex":0.011752817,"about_ca_topic_score_gemma":0.012141146,"teacher_disagreement_score":0.011752817,"about_ca_system_score_codex":0.0004700161,"about_ca_system_score_gemma":0.0002685653,"threshold_uncertainty_score":0.023485959},"labels":[],"label_agreement":null}]}