{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":84,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":84,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"11ad4832bcb6","filters":{"venue":"Financial Review"}},"results":[{"id":"W1996205941","doi":"10.1111/1540-6288.00051","title":"IPO Prospectus Information and Subsequent Performance","year":2003,"lang":"en","type":"article","venue":"Financial Review","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":169,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Prospectus; Initial public offering; Merge (version control); Equity (law); Business; Stock (firearms); Monetary economics; Econometrics; Accounting; Finance; Economics; Computer science; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.0131592582362068,"gpt":0.2001913444204102,"spread":0.1870320861842034,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002952679,0.0001239187,0.0001982331,0.00003736072,0.0001077921,0.00007009555,0.00008257942,0.00003265146,0.0001004961],"category_scores_gemma":[0.0003189736,0.0001080959,0.00003808499,0.0003839467,0.00002376942,0.001791915,0.00002685114,0.00008275286,0.0006441388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002062272,"about_ca_system_score_gemma":0.00004909677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003767683,"about_ca_topic_score_gemma":0.00001679075,"domain_scores_codex":[0.9992748,0.000003871928,0.0002671005,0.0001225204,0.0001499761,0.0001817072],"domain_scores_gemma":[0.9994738,0.000004621172,0.0002629644,0.0001503098,0.0001003777,0.000007911057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002492389,0.00005569061,0.1991487,0.01490092,0.000006389617,0.00001045835,0.00002488516,0.000006832345,0.00001291328,0.2579137,0.08041859,0.447476],"study_design_scores_gemma":[0.0001554676,0.00000694586,0.1792875,0.0009268977,0.00001635285,0.000003408009,5.802581e-7,0.00002111704,0.000009004961,0.0004658774,0.8189799,0.0001268824],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8007326,0.1075452,0.0009020705,0.003003431,0.001279677,0.002393279,0.00001480171,0.0002233415,0.08390563],"genre_scores_gemma":[0.9143245,0.07162426,0.0001380858,0.01308093,0.000337854,0.0001056117,0.00002164787,0.00001395208,0.0003531609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7385613,"threshold_uncertainty_score":0.8279316,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3123093985","doi":"10.1111/j.1540-6288.2008.00197.x","title":"Political Views and Corporate Decision Making: The Case of Corporate Social Responsibility","year":2008,"lang":"en","type":"article","venue":"Financial Review","topic":"Political Influence and Corporate Strategies","field":"Business, Management and Accounting","cited_by":149,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Corporate social responsibility; Politics; Presidential system; Democracy; Accounting; Business; Presidential election; Political science; Public relations; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.1524119051250896,"gpt":0.3327391381227105,"spread":0.1803272329976209,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009359896,0.000210605,0.0005273217,0.00006384814,0.0004347202,0.00005939867,0.000207977,0.0000854833,0.00007260575],"category_scores_gemma":[0.001275645,0.0001401067,0.0001417671,0.000627075,0.0006973075,0.0004600911,0.0001773624,0.0001975818,0.0001023228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002130251,"about_ca_system_score_gemma":0.0001836645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001378063,"about_ca_topic_score_gemma":0.00006019903,"domain_scores_codex":[0.9983886,0.00006809027,0.0006548558,0.0002946086,0.0001925174,0.0004013564],"domain_scores_gemma":[0.9984987,0.0001670673,0.0006893091,0.0003038767,0.0003139701,0.00002704429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007377278,0.00004323161,0.001995101,0.001099309,0.000004672943,0.0006529004,0.00001227188,1.348081e-7,0.00001394481,0.9729028,0.008121496,0.01508039],"study_design_scores_gemma":[0.000395732,0.00004967154,0.102495,0.001927543,0.0001876427,0.0007077147,0.00006842721,0.00008633943,0.00001646223,0.8229358,0.07067318,0.0004564089],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738777,0.01118523,0.0001725391,0.002060295,0.0001908824,0.000671013,0.00002451999,0.00005282229,0.011765],"genre_scores_gemma":[0.9909077,0.0009306613,0.0001021457,0.00752362,0.0004500902,0.0000248309,0.000005447363,0.00001303542,0.00004241928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1499669,"threshold_uncertainty_score":0.5713386,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2137331989","doi":"10.1111/j.1540-6288.2009.00227.x","title":"Excess Control, Corporate Governance and Implied Cost of Equity: International Evidence","year":2009,"lang":"en","type":"article","venue":"Financial Review","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":111,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Shareholder; Cost of equity; Corporate governance; Equity (law); Cost of capital; Equity capital; Implicit cost; Sample (material); Control (management); Monetary economics; Equity capital markets; Earnings; Investor protection; Business; Control variable; Economics; Control sample; Equity risk; Accounting; Finance; Capital market; Microeconomics; Private equity; Total cost","retraction":null,"screen_n_in":null,"score":{"opus":0.06494624250194359,"gpt":0.2947638397333432,"spread":0.2298175972313997,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005244109,0.000196125,0.0005019803,0.0000343287,0.00006914556,0.00007406004,0.0004107249,0.00005283449,0.000103925],"category_scores_gemma":[0.0008657677,0.0001805205,0.0000911624,0.0004272784,0.0000656814,0.001209704,0.0001217831,0.0001219664,0.00008855042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003614217,"about_ca_system_score_gemma":0.00008116147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009991516,"about_ca_topic_score_gemma":0.00005034224,"domain_scores_codex":[0.9985812,0.000008901632,0.0004938209,0.0003152108,0.0003629208,0.0002379618],"domain_scores_gemma":[0.9980506,0.00004118235,0.001359008,0.0002530679,0.0002810101,0.00001511656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002349589,0.0001234383,0.0375226,0.002955774,0.00001601025,0.00005316441,0.000007293792,0.00001437936,0.0004672723,0.233086,0.05668529,0.6688339],"study_design_scores_gemma":[0.0006375582,0.00002897003,0.6411836,0.00724397,0.00007234694,0.000004178679,5.780789e-7,0.0001324115,0.00001758071,0.005193688,0.3452358,0.0002493389],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2634945,0.5841033,0.02113777,0.063955,0.005265476,0.007156329,0.0005259619,0.0004198174,0.05394188],"genre_scores_gemma":[0.9283963,0.05782925,0.00005427406,0.01290135,0.0005629551,0.00002657136,0.00001013521,0.0000103233,0.0002087786],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6685845,"threshold_uncertainty_score":0.7361413,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2009411066","doi":"10.1111/j.1540-6288.2001.tb00011.x","title":"Combining Bond Rating Forecasts Using Logit","year":2001,"lang":"en","type":"article","venue":"Financial Review","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":108,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Econometrics; Competitor analysis; Logit; Logistic regression; Bond; Bond credit rating; Yield (engineering); Ordered logit; Statistics; Economics; Actuarial science; Mathematics; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.1025977363133566,"gpt":0.2834348959084037,"spread":0.1808371595950471,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006386223,0.0001976085,0.0006663135,0.0001227292,0.0002839593,0.00004853777,0.0002086063,0.0001088529,0.0003196206],"category_scores_gemma":[0.00107729,0.0002290616,0.0002277008,0.0006655534,0.0000509824,0.0002591098,0.00007342223,0.0001896725,0.0004859319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001051726,"about_ca_system_score_gemma":0.00007188661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001418879,"about_ca_topic_score_gemma":0.00004350854,"domain_scores_codex":[0.9982408,0.00001266159,0.0008948987,0.0003879255,0.00005801818,0.0004057426],"domain_scores_gemma":[0.9989883,0.00004772929,0.0004740992,0.0003414406,0.00005574754,0.00009268484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001589127,0.0001373647,0.0960934,0.0006831621,0.00001989011,0.0000537644,0.0002091809,0.00008008858,0.00002566809,0.7356008,0.01646186,0.150619],"study_design_scores_gemma":[0.0003441394,0.00005532647,0.04480658,0.001295152,0.00002141664,0.00004192955,0.000005203968,0.001515726,0.000008069562,0.0225348,0.928945,0.0004266421],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.366304,0.4640849,0.06433823,0.002037028,0.002908328,0.001742576,0.000224107,0.0002327101,0.09812818],"genre_scores_gemma":[0.9088605,0.07838132,0.008253177,0.001283221,0.001348007,0.00009764208,0.00008461654,0.00009006228,0.001601454],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9124832,"threshold_uncertainty_score":0.9340862,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3124906954","doi":"10.1111/j.0732-8516.2004.00067.x","title":"Maturity and Corporate Loan Pricing","year":2004,"lang":"en","type":"article","venue":"Financial Review","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":85,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Loan; Maturity (psychological); Sample (material); Econometrics; Quality (philosophy); Economics; Business; Actuarial science; Monetary economics; Finance; Psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.02628781971955053,"gpt":0.2215662563534299,"spread":0.1952784366338794,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000255059,0.0001563823,0.0002998574,0.00003694951,0.0001199614,0.00006869208,0.0001313633,0.00004390745,0.00004129656],"category_scores_gemma":[0.0002175381,0.0001397163,0.00005845358,0.0004907962,0.00003932064,0.0006394032,0.00008343114,0.0001261788,0.0004584983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002486608,"about_ca_system_score_gemma":0.0000575679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002543633,"about_ca_topic_score_gemma":0.0001246988,"domain_scores_codex":[0.9991375,0.000003493607,0.0002461983,0.0002490159,0.000149109,0.0002146686],"domain_scores_gemma":[0.9992745,0.000006295249,0.0004345905,0.0001896063,0.00008421757,0.00001077396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000669635,0.0002235481,0.06446676,0.02151018,0.00001612776,0.0003270503,0.000035336,0.00002758209,0.0002041761,0.5791925,0.07767025,0.2562596],"study_design_scores_gemma":[0.0003990858,0.000009388624,0.2510661,0.004177746,0.00004681689,0.000006971019,8.700192e-7,0.000006223182,0.00001302416,0.01986038,0.724156,0.0002573816],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8020712,0.1622383,0.002165269,0.01343382,0.001237774,0.001702831,0.00002330944,0.0003336366,0.01679389],"genre_scores_gemma":[0.9220762,0.046843,0.0004055282,0.02868087,0.001456684,0.00004711121,0.00002335903,0.00003735784,0.0004298766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6464857,"threshold_uncertainty_score":0.5893221,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3122622975","doi":"10.1111/fire.12109","title":"Entrepreneurial Spawning: Experience, Education, and Exit","year":2016,"lang":"en","type":"article","venue":"Financial Review","topic":"Private Equity and Venture Capital","field":"Business, Management and Accounting","cited_by":66,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Entrepreneurship; Dynamics (music); Business; Marketing; Management; High tech; Economics; Labour economics; Sociology; Political science; Finance; Pedagogy; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.01511810589260667,"gpt":0.246176706288408,"spread":0.2310586003958013,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001441246,0.0001065969,0.0001746773,0.00007434212,0.00008657824,0.00005785948,0.0001520113,0.00003521861,0.0006310916],"category_scores_gemma":[0.000875398,0.00007173455,0.00005260972,0.000254157,0.00004829411,0.0005978702,0.0001456705,0.00003823569,0.0004602159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008290569,"about_ca_system_score_gemma":0.00004270033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001621218,"about_ca_topic_score_gemma":0.000004084161,"domain_scores_codex":[0.9993159,0.000006122307,0.0001903803,0.0002129938,0.0001138286,0.0001608395],"domain_scores_gemma":[0.9996132,0.00001670126,0.0001142122,0.0001743792,0.00006740954,0.00001415299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001289029,0.0001020366,0.008002669,0.001320405,0.000003803168,0.000006633964,0.00004686838,6.974855e-9,0.0001937197,0.2444461,0.2471836,0.4986813],"study_design_scores_gemma":[0.0001368723,0.000004079386,0.007288086,0.0016953,0.0000197344,0.000003434652,0.000004237034,1.680729e-7,0.00001945366,0.008966344,0.98174,0.0001222978],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.660235,0.2312021,0.001020243,0.02610343,0.008255691,0.001749853,0.000008312892,0.0003723929,0.07105296],"genre_scores_gemma":[0.847385,0.1071165,0.0002286065,0.02960519,0.0119673,0.0002344771,0.00002709402,0.00004219838,0.003393614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7345564,"threshold_uncertainty_score":0.691001,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3122323229","doi":"10.1111/j.1540-6288.2007.00169.x","title":"The Agency Structure of Loan Syndicates","year":2007,"lang":"en","type":"article","venue":"Financial Review","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":60,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Syndicate; Delegate; Loan; Business; Agency (philosophy); Principal–agent problem; Information asymmetry; Sample (material); Finance; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.01835149341335816,"gpt":0.2494453286604945,"spread":0.2310938352471363,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001482176,0.0001129868,0.0003700498,0.00005534051,0.0001550557,0.00001409651,0.0003510182,0.00007067159,0.0002427686],"category_scores_gemma":[0.001500538,0.00009237136,0.0001401367,0.0005162585,0.0001284942,0.00006669905,0.00004433466,0.0001131679,0.0000887316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005129627,"about_ca_system_score_gemma":0.00004136661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000469433,"about_ca_topic_score_gemma":0.00006625705,"domain_scores_codex":[0.9985328,0.00001609507,0.0008826661,0.0002515621,0.00006014206,0.0002566905],"domain_scores_gemma":[0.9987554,0.000124458,0.0005298472,0.0004972977,0.00005774085,0.00003524828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000005156115,0.00004980904,0.03572066,0.0009579664,0.00001209842,0.000001027958,0.0001523868,0.00000422529,0.00002888827,0.8292004,0.001603189,0.1322642],"study_design_scores_gemma":[0.00007666832,0.00003318277,0.5006353,0.0002974567,0.00001012955,0.000002685256,0.000001444599,0.00001177137,0.0001033085,0.09731224,0.4013731,0.0001428028],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2894831,0.6974074,0.003265459,0.001078742,0.0008350922,0.0007541146,0.0001195584,0.00003568792,0.007020834],"genre_scores_gemma":[0.9715151,0.02774833,0.0002939162,0.000169075,0.00009122318,0.000004003192,0.000007382183,0.00001222475,0.0001587264],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7318882,"threshold_uncertainty_score":0.3766795,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3121522575","doi":"10.1111/j.1540-6288.2007.00183.x","title":"Diversification in Portfolios of Individual Stocks: 100 Stocks Are Not Enough","year":2007,"lang":"en","type":"article","venue":"Financial Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":58,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan; York University","funders":"","keywords":"Diversification (marketing strategy); Portfolio; Economics; Econometrics; Financial economics; Business; Monetary economics","retraction":null,"screen_n_in":null,"score":{"opus":0.06169298901239407,"gpt":0.2617674144617684,"spread":0.2000744254493744,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001782061,0.0001920144,0.0007419851,0.0002740512,0.00006782041,0.00001929412,0.0003505705,0.0001389782,0.0002903003],"category_scores_gemma":[0.0006496982,0.0002151522,0.0001620896,0.0006547692,0.00007660366,0.0002835866,0.00007756633,0.0001889035,0.0001320777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009435973,"about_ca_system_score_gemma":0.00007317714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002240802,"about_ca_topic_score_gemma":0.0001027984,"domain_scores_codex":[0.9979603,0.00001922777,0.001189285,0.0003735318,0.0001031991,0.0003545066],"domain_scores_gemma":[0.998587,0.00005158571,0.0009101655,0.0003331296,0.0000556805,0.00006240138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00008160988,0.000463584,0.08998685,0.002152878,0.00002686413,0.00002953003,0.0004950813,0.000005000936,0.00001569924,0.8361984,0.01933273,0.05121177],"study_design_scores_gemma":[0.0003547675,0.0001117846,0.7390516,0.001124454,0.00001426957,0.000001925194,0.00003382176,0.000003399357,0.00005410135,0.006679435,0.252303,0.0002673646],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5426043,0.3302495,0.001786148,0.002581171,0.001731124,0.003581284,0.001166799,0.0001025467,0.116197],"genre_scores_gemma":[0.961813,0.0355966,0.0003462676,0.00163115,0.0001324793,0.00004401238,0.00005323006,0.00002014791,0.0003630714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.829519,"threshold_uncertainty_score":0.8773651,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2736996562","doi":"10.1111/fire.12159","title":"Relative Liquidity, Fund Flows and Short‐Term Demand: Evidence from Exchange‐Traded Funds","year":2018,"lang":"en","type":"article","venue":"Financial Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":58,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Market liquidity; Monetary economics; Business; Liquidity risk; Accounting liquidity; Institutional investor; Liquidity crisis; Liquidity premium; Economics; Financial economics; Finance; Corporate governance","retraction":null,"screen_n_in":null,"score":{"opus":0.1296477904104999,"gpt":0.2924881772824935,"spread":0.1628403868719937,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008881185,0.0003240947,0.0008924556,0.0001036951,0.0002579739,0.00009929428,0.0003134688,0.0001846529,0.001305945],"category_scores_gemma":[0.0008722616,0.0003281095,0.000169879,0.0003358566,0.0002354563,0.0008701031,0.0001787267,0.0002264823,0.0006255192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007838351,"about_ca_system_score_gemma":0.00006990916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002520305,"about_ca_topic_score_gemma":0.0002191879,"domain_scores_codex":[0.9978464,0.000058981,0.0008605036,0.0007180706,0.0000814305,0.0004346589],"domain_scores_gemma":[0.9988376,0.0001471851,0.0003214201,0.0004760188,0.00006813752,0.0001496524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003546649,0.00036211,0.09668027,0.007017932,0.0002658039,0.00009603268,0.003483449,8.355797e-7,0.0003128582,0.6211517,0.1416858,0.1285885],"study_design_scores_gemma":[0.0003539247,0.0007057423,0.3415532,0.006172718,0.00008117512,0.000006570564,0.000006103029,0.0001345196,0.00007388789,0.06760456,0.582482,0.0008255998],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2856081,0.6827037,0.001440291,0.001954318,0.001261541,0.0009663418,0.000315295,0.00008183373,0.02566857],"genre_scores_gemma":[0.5828395,0.4117337,0.0009290039,0.00231843,0.00118135,0.0001274594,0.00003708449,0.00003924756,0.0007942526],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.5535471,"threshold_uncertainty_score":0.9999171,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2032190295","doi":"10.1111/j.1540-6288.2006.00130.x","title":"An Examination of the Differential Impact of Regulation FD on Analysts' Forecast Accuracy","year":2006,"lang":"en","type":"article","venue":"Financial Review","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":51,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Earnings; Explanatory power; Differential (mechanical device); Accounting; Variation (astronomy); Dissemination; Econometrics; Business; Differential effects; Economics; Computer science; Telecommunications; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01169054214758944,"gpt":0.2508903381333374,"spread":0.239199795985748,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004003499,0.0001543075,0.0003226416,0.00009508203,0.00008812747,0.00003418789,0.000302345,0.00004063954,0.0002492229],"category_scores_gemma":[0.00313727,0.0001085992,0.0002411574,0.0007044587,0.00004068936,0.0005275984,0.00008308475,0.00008876586,0.00002318715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005251663,"about_ca_system_score_gemma":0.00002409982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006129798,"about_ca_topic_score_gemma":0.0001007266,"domain_scores_codex":[0.9987385,0.00003762193,0.0004737445,0.0002018489,0.000392515,0.0001557602],"domain_scores_gemma":[0.989648,0.00003430081,0.009773733,0.0003534369,0.0001856279,0.00000484206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00002657084,0.000216937,0.03155056,0.002600197,0.00001927072,8.536198e-7,0.00001502544,0.0005315496,0.001019808,0.0336177,0.006095055,0.9243065],"study_design_scores_gemma":[0.0001824287,0.0000267352,0.9802836,0.001697353,0.0001122324,1.65566e-7,0.000001090272,0.0006403852,0.00009841922,0.0006116218,0.01623594,0.0001100368],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837222,0.0007468237,0.009178832,0.0001186849,0.0001337577,0.000636216,0.000009565946,0.00002740024,0.005426503],"genre_scores_gemma":[0.9988438,0.0002304878,0.00002442362,0.0001329536,0.000524046,0.00001312648,0.00005919113,0.00001554786,0.00015636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.948733,"threshold_uncertainty_score":0.4428546,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1980147080","doi":"10.1111/j.0732-8516.2004.00070.x","title":"Determinants of the Loan Loss Allowance: Some Cross‐Country Comparisons","year":2004,"lang":"en","type":"article","venue":"Financial Review","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Allowance (engineering); Loan; Economics; Business; Actuarial science; Monetary economics; Finance; Operations management","retraction":null,"screen_n_in":null,"score":{"opus":0.02694524848103817,"gpt":0.2790508815575536,"spread":0.2521056330765155,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008462759,0.0001812822,0.0007152953,0.00004965719,0.0001892914,0.00002946719,0.0005900189,0.0001066572,0.0001150713],"category_scores_gemma":[0.0008915089,0.0001615439,0.0002558384,0.0005659942,0.0002967649,0.0002161031,0.000115379,0.0001730047,0.0001858691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001539675,"about_ca_system_score_gemma":0.00017361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001624602,"about_ca_topic_score_gemma":0.0001318743,"domain_scores_codex":[0.9980514,0.0000220784,0.00111345,0.000392331,0.00009835716,0.0003223967],"domain_scores_gemma":[0.998337,0.00003184345,0.0007517375,0.0007635197,0.00007241999,0.00004353662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005618204,0.0002152732,0.7133337,0.001769104,0.000006167567,0.000002288548,0.0001329028,0.0001774924,0.000002193023,0.279526,0.0005826639,0.00424657],"study_design_scores_gemma":[0.0003434605,0.00002987017,0.8399816,0.001283772,0.00001210248,0.000007229787,9.105582e-7,0.00002481419,0.00006394274,0.03342837,0.1246136,0.0002103591],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8112012,0.1847439,0.0005053061,0.0004185117,0.001017957,0.0007142439,0.000226339,0.00002913549,0.001143482],"genre_scores_gemma":[0.9860799,0.01269801,0.0003387894,0.0005680475,0.0001220345,0.00003141381,0.000005604226,0.00002081136,0.0001353707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2460977,"threshold_uncertainty_score":0.6587569,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3080199563","doi":"10.1111/fire.12247","title":"Political corruption shielding and corporate acquisitions","year":2020,"lang":"en","type":"article","venue":"Financial Review","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":33,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University; Memorial University of Newfoundland","funders":"Social Sciences and Humanities Research Council of Canada; Memorial University of Newfoundland","keywords":"Attractiveness; Leverage (statistics); Cash; Politics; Language change; Monetary economics; Robustness (evolution); Rent-seeking; Business; Cash flow; Economics; Finance; Accounting; Public economics; Political science; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.03593334789769936,"gpt":0.2443075707154709,"spread":0.2083742228177716,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000222635,0.0001470657,0.000277426,0.00003509404,0.0001604529,0.0001141446,0.0001415669,0.00003892733,0.0003473805],"category_scores_gemma":[0.008988413,0.0001482491,0.00006587491,0.0004427292,0.00004710467,0.0005285668,0.0002214813,0.0001577577,0.0007895041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002039797,"about_ca_system_score_gemma":0.00001923848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002842778,"about_ca_topic_score_gemma":0.000004067691,"domain_scores_codex":[0.9989517,0.00001100224,0.0002685756,0.0002859457,0.0001948639,0.000287873],"domain_scores_gemma":[0.996631,0.00002351747,0.003122974,0.0001145913,0.00007624079,0.00003171188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007972677,0.0000163093,0.006267086,0.003717509,0.000005867705,0.00002801658,0.00001031409,0.000001682782,0.00005449481,0.8400602,0.02830865,0.1215218],"study_design_scores_gemma":[0.0001859745,0.00001381797,0.03362626,0.001664047,0.0001023454,0.000002025624,0.000008747734,0.0002625853,0.000003162333,0.004529874,0.9593616,0.0002395608],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1094192,0.05560119,0.5160249,0.1506028,0.001622502,0.003880645,0.00005568129,0.001438282,0.1613549],"genre_scores_gemma":[0.9023844,0.002960449,0.0002790474,0.09199138,0.002084414,0.00003800922,0.00003675876,0.00002937202,0.0001961926],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9310529,"threshold_uncertainty_score":0.9999885,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2015835751","doi":"10.1111/fire.12003","title":"Earnings Management and Annual General Meetings: The Role of Managerial Entrenchment","year":2013,"lang":"en","type":"article","venue":"Financial Review","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":30,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Accrual; Earnings; Earnings management; Quarter (Canadian coin); Accounting; Dissemination; Business; Perception; Economics; Psychology; Political science; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.003643707624047546,"gpt":0.1881697557248803,"spread":0.1845260481008328,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005935841,0.0002891337,0.000424698,0.00009838431,0.000220895,0.0001277367,0.00049956,0.00004774558,0.0006636682],"category_scores_gemma":[0.0009266218,0.0002219497,0.000133299,0.0005051896,0.0001116603,0.0005982425,0.0007891653,0.0001727102,0.0005516114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002758137,"about_ca_system_score_gemma":0.000008679818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004200086,"about_ca_topic_score_gemma":0.000009871557,"domain_scores_codex":[0.9980557,0.00002922802,0.0005571293,0.0004316529,0.0004959528,0.0004303647],"domain_scores_gemma":[0.9941525,0.00002719929,0.005297185,0.0003689828,0.0001339701,0.0000201389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000104697,0.00005605856,0.008356967,0.00386032,0.0000584496,0.00001181303,0.00007964505,0.000006667271,0.00002656068,0.09315681,0.07015803,0.8242182],"study_design_scores_gemma":[0.0002591132,0.00001041217,0.1065121,0.001492996,0.0001685015,0.000001436687,0.00007785867,0.00003625461,0.000009559947,0.001788745,0.8894147,0.0002284029],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3637951,0.09793525,0.004961256,0.008160716,0.001837282,0.01029013,0.00003114079,0.0005183872,0.5124707],"genre_scores_gemma":[0.8813124,0.07064494,0.003472436,0.01811302,0.004302646,0.001381463,0.00008478817,0.0001427717,0.02054552],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8239898,"threshold_uncertainty_score":0.9050848,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3121198562","doi":"10.1111/j.1540-6288.2001.tb00028.x","title":"A Comparison of Cost of Equity Estimates of Local and Global CAPMs","year":2001,"lang":"en","type":"article","venue":"Financial Review","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Capital asset pricing model; Cost of equity; Equity (law); Econometrics; Economics; Financial economics; Basis point; Currency; Index (typography); Excess return; Monetary economics; Cost of capital; Geography; Microeconomics; Interest rate; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.1522149749430715,"gpt":0.4537157077696169,"spread":0.3015007328265454,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001025727,0.00009241309,0.0005689175,0.00004669514,0.00004039643,0.00001048998,0.0001342162,0.00004688025,0.0001000466],"category_scores_gemma":[0.002604934,0.00008062648,0.00008114974,0.0005887551,0.0001471762,0.0001252434,0.00017483,0.00006511834,0.00001096205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000163756,"about_ca_system_score_gemma":0.0001097356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001053543,"about_ca_topic_score_gemma":0.0001320568,"domain_scores_codex":[0.998605,0.00001147114,0.0007111521,0.0001369543,0.0003726869,0.0001627074],"domain_scores_gemma":[0.9986709,0.00004560977,0.0006802644,0.0001526669,0.0004387759,0.00001178305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00003925202,0.0001610246,0.2516583,0.00916483,0.000007333153,0.000003803081,0.00000938968,0.00001976208,0.0000998827,0.02417594,0.003565799,0.7110947],"study_design_scores_gemma":[0.0006741187,0.0001158539,0.8770937,0.009825939,0.0002351035,0.00000664283,0.00003562109,0.004310615,0.0005981614,0.006212421,0.1006121,0.0002797887],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8715755,0.08621806,0.01380471,0.0007454766,0.0002851195,0.001397466,0.00002400924,0.00004218071,0.02590749],"genre_scores_gemma":[0.997251,0.002357119,0.000179604,0.0001133707,0.00005619496,0.00001134469,0.00001011014,0.000004728068,0.00001652236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7108149,"threshold_uncertainty_score":0.3287852,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1981877786","doi":"10.1111/j.1540-6288.2010.00262.x","title":"Bond Market Access, Credit Quality, and Capital Structure: Canadian Evidence","year":2010,"lang":"en","type":"article","venue":"Financial Review","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Regina; University of Manitoba","funders":"","keywords":"Leverage (statistics); Credit rating; Bond market; Bond; Bond credit rating; Business; Capital structure; Monetary economics; Quality (philosophy); Financial system; Economics; Finance; Credit risk; Credit reference; Debt","retraction":null,"screen_n_in":null,"score":{"opus":0.06516635533869779,"gpt":0.3086572538740245,"spread":0.2434908985353267,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008550105,0.0002205633,0.000622724,0.0001730339,0.0002629968,0.0001471631,0.0004317192,0.0001962024,0.002097807],"category_scores_gemma":[0.003724028,0.0002448517,0.0001311205,0.0004238289,0.0001331152,0.0005808517,0.0001187337,0.0004032706,0.0001670414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008270781,"about_ca_system_score_gemma":0.0003272691,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03792875,"about_ca_topic_score_gemma":0.2150125,"domain_scores_codex":[0.9981954,0.00001698235,0.0007847477,0.0005049927,0.00007278196,0.0004250988],"domain_scores_gemma":[0.9986548,0.00009984396,0.0003409779,0.0005038044,0.00007799744,0.0003226226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000009131526,0.0000233079,0.1921558,0.0009190754,0.00001204431,0.00001502969,0.00008106191,2.577742e-7,0.00001937324,0.5878094,0.1670618,0.05189366],"study_design_scores_gemma":[0.00006930707,0.00001268427,0.5178095,0.0002387939,0.000008270566,0.000008643065,6.062712e-7,0.000005796328,0.000003590171,0.0239113,0.4577321,0.0001994526],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5538381,0.3928814,0.0002313393,0.01522241,0.005132269,0.001592898,0.002861755,0.00008762931,0.02815218],"genre_scores_gemma":[0.9216104,0.07434107,0.0006483063,0.001320292,0.001074626,0.00005362676,0.00005339734,0.00003473263,0.0008635609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5638981,"threshold_uncertainty_score":0.9988144,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2091315864","doi":"10.1111/j.1540-6288.2000.tb01422.x","title":"Market Efficiency in Specialist Markets Before and After Automation","year":2000,"lang":"en","type":"article","venue":"Financial Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Exploit; Automation; Stock exchange; Stock (firearms); Nonparametric statistics; Market efficiency; Econometrics; Efficient-market hypothesis; Business; Economics; Stock market; Financial economics; Industrial organization; Finance; Computer science; Engineering; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.01268926482199427,"gpt":0.2169385357625409,"spread":0.2042492709405466,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007640666,0.0001948395,0.0005300679,0.0001184363,0.0000699985,0.00005630555,0.0001390941,0.00009648249,0.008791052],"category_scores_gemma":[0.000246603,0.0002042504,0.00009244728,0.0003971986,0.00008122037,0.0003226219,0.00002950377,0.0001285701,0.0004323598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006829746,"about_ca_system_score_gemma":0.00003885181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008160187,"about_ca_topic_score_gemma":0.0001629354,"domain_scores_codex":[0.9984594,0.00003282139,0.0007422643,0.0004007681,0.00004981555,0.0003149556],"domain_scores_gemma":[0.9995068,0.00002088885,0.000157778,0.0002391423,0.00001408718,0.00006129508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001756488,0.0003150662,0.09054102,0.003894315,0.00001023294,0.00008205161,0.0003531856,0.000001197109,6.27907e-7,0.39836,0.04844211,0.4578245],"study_design_scores_gemma":[0.0001729721,0.00003839441,0.5882218,0.0005895577,0.000003494862,0.000003190693,8.730753e-7,0.00008094836,2.634771e-7,0.01500381,0.3957291,0.0001555605],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3566374,0.1703947,0.00003696589,0.001982746,0.0004408284,0.001101701,0.0001660211,0.00006447123,0.4691751],"genre_scores_gemma":[0.7988626,0.1858381,0.0005427568,0.004891701,0.0004139213,0.000317618,0.00003456403,0.00004605954,0.00905267],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4976808,"threshold_uncertainty_score":0.992115,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1998677683","doi":"10.1111/j.1540-6288.2001.tb00013.x","title":"Market Quote and Spread Component Cost Behavior Around Trading Halts for Stocks Interlisted on the Montreal and Toronto Stock Exchanges","year":2001,"lang":"en","type":"article","venue":"Financial Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Concordia University","funders":"","keywords":"Stock exchange; Open outcry; Business; Stock (firearms); Monetary economics; Order (exchange); Electronic trading; Economics; Financial economics; Algorithmic trading; Alternative trading system; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.07184982095369895,"gpt":0.2707385098057991,"spread":0.1988886888521001,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006863814,0.0002634039,0.0006479087,0.00004326979,0.0002550831,0.0001078484,0.0001718412,0.0000906901,0.0002295793],"category_scores_gemma":[0.0002334189,0.0002185328,0.0001167128,0.00008527043,0.00009750157,0.000235205,0.00005325929,0.0001194892,0.000008530978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000123961,"about_ca_system_score_gemma":0.00002061794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001488241,"about_ca_topic_score_gemma":0.002258331,"domain_scores_codex":[0.9985868,0.00003610623,0.0005495454,0.0004424539,0.00004955452,0.0003354965],"domain_scores_gemma":[0.9991273,0.0001733185,0.0003020299,0.0002779948,0.00002863608,0.00009070204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004672955,0.0004563465,0.01503691,0.002229817,0.00006995941,0.00002505261,0.0007572523,3.208834e-7,0.00001326427,0.3955379,0.112821,0.4725849],"study_design_scores_gemma":[0.0007182743,0.0005381068,0.2418996,0.001559105,0.00005890689,0.00001843313,0.00005779344,0.0004954301,0.000002680988,0.005672553,0.7485507,0.0004284649],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.4404532,0.4729191,0.0005720286,0.005564462,0.001122886,0.00790158,0.0008680294,0.00008049909,0.0705182],"genre_scores_gemma":[0.73226,0.2597585,0.0001960559,0.003463986,0.000398622,0.001741351,0.00004921381,0.00005521382,0.002076967],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6357297,"threshold_uncertainty_score":0.8911508,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2017032927","doi":"10.1111/j.1540-6288.2007.00177.x","title":"Loan Rates and Collateral","year":2007,"lang":"en","type":"article","venue":"Financial Review","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Collateralization; Collateral; Loan; Business; Sample (material); Financial system; Actuarial science; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.0243260978880459,"gpt":0.2620952565760438,"spread":0.2377691586879979,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001465622,0.0001123587,0.0003773939,0.00007137281,0.00009385189,0.00002777377,0.0001112758,0.00006274197,0.0002523768],"category_scores_gemma":[0.0004548289,0.0001219603,0.00006807577,0.0003517306,0.00006594306,0.0001094874,0.00003867064,0.00007653418,0.0002257455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005463779,"about_ca_system_score_gemma":0.00002363783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004546663,"about_ca_topic_score_gemma":0.00005492406,"domain_scores_codex":[0.9988233,0.00001035529,0.0005893367,0.0003004473,0.00003122882,0.0002453725],"domain_scores_gemma":[0.9994271,0.0000504828,0.0002044587,0.0002309924,0.00003321611,0.00005379222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001058761,0.0000962816,0.3303206,0.001639511,0.000008411879,0.000006178832,0.0002098945,0.000001750007,0.000007574628,0.5498484,0.003780841,0.1140699],"study_design_scores_gemma":[0.0001337024,0.00003187786,0.5480489,0.0002766099,0.000004466071,0.000004966242,8.535175e-7,0.00002235236,0.00001301353,0.02183288,0.4294685,0.0001618985],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.4759809,0.4954603,0.003012088,0.001191774,0.0006558204,0.0007769474,0.00005259807,0.00006389207,0.02280563],"genre_scores_gemma":[0.9735406,0.02396175,0.0007966635,0.00104593,0.0001558194,0.00001218289,0.00001026168,0.00001733958,0.0004594454],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5280156,"threshold_uncertainty_score":0.4973395,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2031448578","doi":"10.1111/fire.12054","title":"Split Ratings and Differences in Corporate Credit Rating Policy between Moody's and Standard &amp; Poor's","year":2014,"lang":"en","type":"article","venue":"Financial Review","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Bank of Canada","funders":"","keywords":"Credit rating; Bond credit rating; Index (typography); Corporate governance; Bivariate analysis; Economics; Multivariate probit model; Investment (military); Actuarial science; Business; Autonomy; Accounting; Econometrics; Finance; Statistics; Credit reference; Mathematics; Credit risk; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.05862339640282387,"gpt":0.2606424971460139,"spread":0.20201910074319,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001095126,0.0002197803,0.0009400271,0.00020269,0.0001814689,0.0000881887,0.0001376364,0.0001198183,0.00003982025],"category_scores_gemma":[0.002669809,0.0002315112,0.00007065615,0.0005036574,0.000124025,0.0002041301,0.00009926609,0.0002117062,0.00004714941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000510595,"about_ca_system_score_gemma":0.00007853681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004947897,"about_ca_topic_score_gemma":0.0003280306,"domain_scores_codex":[0.9982419,0.00004067459,0.0008685144,0.0004554087,0.00006560874,0.0003279047],"domain_scores_gemma":[0.9988505,0.0001476279,0.0006097138,0.0002271816,0.00004335774,0.0001216007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007417028,0.00001375723,0.58854,0.000726849,0.000004930402,0.000001013025,0.0001531346,4.673604e-7,0.000003045103,0.3169475,0.001145905,0.09245604],"study_design_scores_gemma":[0.0003352828,0.00007407318,0.787795,0.0008026332,0.00001274498,0.000002103506,0.000002655474,0.00005246294,0.000001768161,0.05546745,0.1551974,0.0002564442],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9241831,0.06362313,0.004252057,0.003354121,0.0002151221,0.0006358661,0.0003410043,0.0000413246,0.003354217],"genre_scores_gemma":[0.9631925,0.03362238,0.001657545,0.0002742783,0.0008046756,0.00005146657,0.00004349046,0.00002389864,0.0003297643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.26148,"threshold_uncertainty_score":0.9440754,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1582170030","doi":"10.1111/fire.12020","title":"Liquidity Risk of Private Assets: Evidence from Real Estate Markets","year":2013,"lang":"en","type":"article","venue":"Financial Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Market liquidity; Liquidity risk; Real estate; Business; Asset (computer security); Liquidity crisis; Accounting liquidity; Finance; Financial system; Monetary economics; Financial economics; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.03694966360321052,"gpt":0.2398053273546181,"spread":0.2028556637514076,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001501178,0.000219764,0.0009502202,0.00007617666,0.00008082828,0.00004703632,0.0004133739,0.0001227043,0.001976171],"category_scores_gemma":[0.002556923,0.0002399422,0.0002573767,0.0002227156,0.00007065517,0.0005337764,0.0001360155,0.0002095601,0.002232276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009946244,"about_ca_system_score_gemma":0.0000653121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004787193,"about_ca_topic_score_gemma":0.0001015013,"domain_scores_codex":[0.9978407,0.00007871205,0.001219252,0.0004745956,0.00004436863,0.0003423652],"domain_scores_gemma":[0.997798,0.0002718524,0.001102195,0.0006528422,0.00006050799,0.0001146579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00007052292,0.0001645765,0.3169572,0.002370113,0.0000937739,0.000007335625,0.0002650945,0.00001123214,0.00004167555,0.003436852,0.03858883,0.6379928],"study_design_scores_gemma":[0.0002910537,0.00009002988,0.6458704,0.00297285,0.00005575547,0.000001278663,0.000002295998,0.0005477819,0.00006710281,0.01602137,0.333537,0.000543077],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9393017,0.02286339,0.0005053757,0.0004658974,0.000629128,0.0007012105,0.0003090652,0.00004705758,0.03517715],"genre_scores_gemma":[0.1926399,0.8049978,0.00182937,0.0001708415,0.0001455966,0.00006331162,0.00002332937,0.00002709844,0.0001026855],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7821344,"threshold_uncertainty_score":0.9989362,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2103843953","doi":"10.1111/j.1540-6288.2006.00142.x","title":"The Asymmetric Impact of Monetary Policy on Currency Markets","year":2006,"lang":"en","type":"article","venue":"Financial Review","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Monetary economics; Currency; Liberian dollar; Economics; Monetary policy; Credibility; Pound (networking); Quantitative easing; Us dollar; Value (mathematics); Interest rate; Central bank; German; International economics; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.03747831821433054,"gpt":0.2670879348690812,"spread":0.2296096166547507,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009743968,0.0002328802,0.0007236251,0.0002908911,0.0001518453,0.00002783136,0.0003917767,0.00008435397,0.0002815177],"category_scores_gemma":[0.0009885591,0.000186429,0.0005775568,0.0007297962,0.0000706748,0.0001415402,0.00004434151,0.0001892117,0.00114402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001774416,"about_ca_system_score_gemma":0.0001127198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005357046,"about_ca_topic_score_gemma":0.00002695051,"domain_scores_codex":[0.9980168,0.00003996533,0.001096343,0.0003184838,0.00004619156,0.0004822651],"domain_scores_gemma":[0.9984586,0.0001724734,0.0006720376,0.0005991401,0.00001546229,0.00008234795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00009384652,0.0003172412,0.06528255,0.0008596177,0.0001035764,0.000005893561,0.00002626824,0.0003975206,0.000001343993,0.3966272,0.3340239,0.2022611],"study_design_scores_gemma":[0.0002731817,0.0001873179,0.6169772,0.0003344169,0.00001014647,0.000005516074,2.803146e-7,0.0002875344,0.000004984126,0.03598461,0.3456776,0.0002573394],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1423466,0.6388546,0.0001121438,0.002646928,0.0006617147,0.0009954373,0.0009742221,0.00004262308,0.2133657],"genre_scores_gemma":[0.8813543,0.1164372,0.00004329257,0.0006099448,0.0005316413,0.00002717583,0.00003524692,0.00002199029,0.0009391821],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7390077,"threshold_uncertainty_score":0.9996337,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2080424738","doi":"10.1111/j.1540-6288.2009.00237.x","title":"Dividends versus Share Repurchases Evidence from Canada: 1985–2003","year":2010,"lang":"en","type":"article","venue":"Financial Review","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Endogeneity; Dividend; Flexibility (engineering); Monetary economics; Business; Sample (material); Economics; Econometrics; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.04442256217784754,"gpt":0.2511110044570037,"spread":0.2066884422791561,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002719034,0.0002514791,0.0004294565,0.00003289113,0.0001790068,0.00009130484,0.000532048,0.00007341251,0.001523963],"category_scores_gemma":[0.006261071,0.0002325907,0.0000929107,0.0009357616,0.00003911291,0.001010543,0.0001677749,0.0003270502,0.0005354531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005629427,"about_ca_system_score_gemma":0.0007374785,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.517514,"about_ca_topic_score_gemma":0.770273,"domain_scores_codex":[0.9983425,0.000008330162,0.0004047719,0.0004550944,0.0004375636,0.0003517755],"domain_scores_gemma":[0.9984581,0.00009385353,0.0004655001,0.0005910864,0.0003670568,0.00002434843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007499116,0.00003730298,0.034557,0.001419736,0.00001081065,0.0001524237,0.000005289474,0.000001243375,0.0001170998,0.003762044,0.8458108,0.1140513],"study_design_scores_gemma":[0.0002288091,0.000006744983,0.2099371,0.003557029,0.00006764693,7.0734e-7,8.390238e-7,0.00001116197,0.0000174618,0.0001310997,0.785789,0.0002524296],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7160817,0.2403305,0.0001626688,0.01572523,0.01552559,0.001794204,0.0006166917,0.0003206258,0.009442736],"genre_scores_gemma":[0.9156505,0.04458262,0.0003101521,0.02782838,0.009239372,0.0002517832,0.0003054511,0.0000885529,0.001743161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2527591,"threshold_uncertainty_score":0.9993888,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2077533012","doi":"10.1111/fire.12010","title":"Empirical Evidence on Corporate Risk‐Shifting","year":2013,"lang":"en","type":"article","venue":"Financial Review","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Debt; Volatility (finance); Callable bond; Business; Monetary economics; Empirical evidence; Earnings; Credit risk; Systematic risk; Corporate debt; Default risk; Economics; Bond; Financial economics; Actuarial science; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.2105626391295137,"gpt":0.2999910945339628,"spread":0.08942845540444913,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00085599,0.00022444,0.0006616549,0.0001180659,0.0002465922,0.00006959278,0.0003084058,0.0001231543,0.001333259],"category_scores_gemma":[0.007164431,0.0002270272,0.0002555611,0.0006433292,0.00006839995,0.0003477585,0.00006883843,0.0003332677,0.01477878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009831732,"about_ca_system_score_gemma":0.00007451048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000283021,"about_ca_topic_score_gemma":0.00002342039,"domain_scores_codex":[0.9980403,0.00004383564,0.0009305686,0.0005157549,0.00008055177,0.0003889488],"domain_scores_gemma":[0.9977464,0.0002068561,0.001283136,0.00053424,0.00008836294,0.0001410131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001211394,0.0001525746,0.4849627,0.0005995072,0.00001476087,0.00000920285,0.0001388643,0.00001670012,0.000004328926,0.1833148,0.1996776,0.1310968],"study_design_scores_gemma":[0.0001040247,0.00009002698,0.676488,0.001386525,0.00001095666,0.000001921347,0.000001167369,0.0001020344,0.000004823929,0.03090241,0.2906472,0.0002608902],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5910721,0.3533235,0.008045716,0.01095258,0.002259921,0.002831621,0.000294029,0.0002607733,0.03095969],"genre_scores_gemma":[0.8286017,0.1636318,0.001409229,0.002768831,0.0009910919,0.0004172434,0.00003140248,0.0000587192,0.002089984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2375296,"threshold_uncertainty_score":0.9995797,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2147892895","doi":"10.1111/j.1540-6288.2006.00153.x","title":"Optimal Incentive Contracts for Loss‐Averse Managers: Stock Options versus Restricted Stock Grants","year":2006,"lang":"en","type":"article","venue":"Financial Review","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Stock options; Incentive; Non-qualified stock option; Stock (firearms); Cash flow; Executive compensation; Volatility (finance); Restricted stock; Economics; Business; Loss aversion; Cash; Microeconomics; Financial economics; Monetary economics; Actuarial science; Finance; Stock market","retraction":null,"screen_n_in":null,"score":{"opus":0.03206995977558893,"gpt":0.260770712450023,"spread":0.2287007526744341,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002207885,0.0003036062,0.000513575,0.00009997739,0.0002976348,0.0001091276,0.000318504,0.0001026434,0.0001043823],"category_scores_gemma":[0.0004869713,0.0003027508,0.0002578926,0.0008274759,0.00006665508,0.001053661,0.00008747056,0.000170004,0.0004695052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009041093,"about_ca_system_score_gemma":0.0001020031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005971974,"about_ca_topic_score_gemma":0.0003441389,"domain_scores_codex":[0.9982271,0.00001335148,0.0005133626,0.0004526438,0.0002937235,0.0004998527],"domain_scores_gemma":[0.998571,0.00007553303,0.0006484609,0.0003371191,0.0003496189,0.00001828728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001680504,0.0007782828,0.0061587,0.005727745,0.00006410437,0.0002856413,0.00001282565,0.000564187,0.000129288,0.1167403,0.7911381,0.07672034],"study_design_scores_gemma":[0.002387715,0.00004619125,0.09641275,0.001764552,0.0002425267,0.000001126251,0.000002624591,0.0002337533,0.000008038315,0.0005401738,0.8979507,0.0004098494],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7987584,0.1226007,0.02579496,0.007207972,0.007914461,0.0146905,0.00110387,0.0009623567,0.02096679],"genre_scores_gemma":[0.9065542,0.05710107,0.004736966,0.00986439,0.01070059,0.002045123,0.001583262,0.0002716062,0.007142832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1162002,"threshold_uncertainty_score":0.9999425,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4307243825","doi":"10.1111/fire.12324","title":"Who uses robo‐advising and how?","year":2022,"lang":"en","type":"article","venue":"Financial Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Lethbridge","funders":"","keywords":"Volatility (finance); Business; Investment (military); Plan (archaeology); Finance; Geography; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.04287471461953474,"gpt":0.227239272435718,"spread":0.1843645578161832,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000660615,0.0001636719,0.0005610258,0.00009178629,0.000391718,0.0000749896,0.0001910643,0.00003513273,0.0007138557],"category_scores_gemma":[0.0003586873,0.0001848088,0.0001147205,0.000330191,0.00006104221,0.0002560302,0.0001879519,0.0001923362,0.00005753836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006612882,"about_ca_system_score_gemma":0.00004846295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005539396,"about_ca_topic_score_gemma":0.000005600293,"domain_scores_codex":[0.998897,0.00003592009,0.0003605822,0.0003753776,0.00005498591,0.0002761484],"domain_scores_gemma":[0.9993724,0.00003093616,0.0002801646,0.0002416083,0.0000162898,0.00005862872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005841885,0.00003531556,0.003471273,0.0006760182,0.00000792873,0.000009929426,0.0000588079,0.000002363722,0.000002581504,0.9100332,0.06909196,0.01660475],"study_design_scores_gemma":[0.0001453858,0.0001001919,0.02349783,0.0002620647,0.000008250539,0.000009275318,0.000009800213,0.00002461481,0.000001999501,0.0251258,0.9505783,0.0002364568],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02970361,0.8784175,0.0003267624,0.01209021,0.001072575,0.0008518266,0.0002908489,0.00008318031,0.07716347],"genre_scores_gemma":[0.4841702,0.4794759,0.001110188,0.02266905,0.0005710035,0.0005266306,0.00007279578,0.0000995012,0.01130473],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.8849074,"threshold_uncertainty_score":0.7816219,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2141886971","doi":"10.1111/j.1540-6288.2006.00141.x","title":"The Impact of Pennies on the Market Quality of the Toronto Stock Exchange","year":2006,"lang":"en","type":"article","venue":"Financial Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Western University; Wilfrid Laurier University","funders":"","keywords":"Tick size; Market liquidity; Stock exchange; Market maker; Order (exchange); Economics; Order book; Financial economics; Stock (firearms); Monetary economics; Stock market; Business; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.05768035456074027,"gpt":0.2886101643943845,"spread":0.2309298098336442,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002022002,0.000178809,0.0005736381,0.000014836,0.0002301511,0.00002685273,0.0005559296,0.00006034243,0.0007949044],"category_scores_gemma":[0.001004752,0.00008597664,0.0005288538,0.0002152277,0.0002137858,0.0001146625,0.00008782258,0.0001149174,0.00002103519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001140631,"about_ca_system_score_gemma":0.00008576934,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007787791,"about_ca_topic_score_gemma":0.001279753,"domain_scores_codex":[0.9983937,0.00012867,0.0009442826,0.00019825,0.00008892898,0.0002462005],"domain_scores_gemma":[0.9979514,0.00030329,0.0009697296,0.0006969665,0.00005948243,0.00001910404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003950856,0.00008673281,0.007474028,0.0005091529,0.0000194119,1.360253e-7,0.00004891785,0.000001589716,0.000007303696,0.8258618,0.1607274,0.005224096],"study_design_scores_gemma":[0.0001077983,0.0001195136,0.7650617,0.0004598907,0.000007427296,2.82604e-7,0.000007092371,0.000007398884,0.00001790756,0.0316792,0.2024162,0.0001156079],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1541358,0.4514594,0.00001795808,0.002694601,0.0005955086,0.001542527,0.0004972903,0.00001430476,0.3890426],"genre_scores_gemma":[0.9053866,0.09011006,0.00001582162,0.0005592845,0.0001981317,0.0001202199,0.000004696441,0.00001919996,0.003585964],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7941825,"threshold_uncertainty_score":0.9988194,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3024547019","doi":"10.1111/fire.12233","title":"Religion and venture investing: A cross‐country analysis","year":2020,"lang":"en","type":"article","venue":"Financial Review","topic":"Private Equity and Venture Capital","field":"Business, Management and Accounting","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Religiosity; Venture capital; Endogeneity; Risk aversion (psychology); Social venture capital; Sample (material); Business; Economics; Finance; Demographic economics; Financial economics; Political science; Econometrics; Expected utility hypothesis; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.02242940030489823,"gpt":0.2531244493288787,"spread":0.2306950490239804,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000228661,0.0001477348,0.0003716776,0.00006148437,0.0001240915,0.0001595902,0.0001810575,0.00006977334,0.00009083887],"category_scores_gemma":[0.001353965,0.0001309832,0.0001450741,0.001289537,0.00004486755,0.0004754867,0.0002091778,0.0001661377,0.0001832767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009145023,"about_ca_system_score_gemma":0.00002290666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005138038,"about_ca_topic_score_gemma":0.00002370988,"domain_scores_codex":[0.9990858,0.000008254189,0.0002667982,0.0002809641,0.0001721987,0.0001860139],"domain_scores_gemma":[0.9995576,0.00001337977,0.0001845066,0.0001472983,0.00006946661,0.00002774652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001098344,0.0001371492,0.1191651,0.03377103,0.0003196329,0.0002838537,0.0001719911,0.00002553176,0.0001990977,0.3213796,0.4718083,0.05262891],"study_design_scores_gemma":[0.0001465242,0.000009154111,0.0196937,0.0005883152,0.0005849673,0.000001442155,0.000001289466,0.0001818135,0.000001969523,0.001322165,0.9772819,0.0001867977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3192738,0.6182341,0.00112502,0.03625401,0.0009540125,0.001500617,0.00003636554,0.0006007316,0.02202136],"genre_scores_gemma":[0.7562096,0.0455935,0.0001724672,0.1934649,0.004111958,0.00003619676,0.0002432102,0.0000369724,0.0001311631],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5726406,"threshold_uncertainty_score":0.534134,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2141728840","doi":"10.1111/j.1540-6288.2007.00160.x","title":"The U.S. Share of Trading Volume in Cross‐Listings: Evidence from Canadian Stocks","year":2007,"lang":"en","type":"article","venue":"Financial Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Market liquidity; Financial economics; Monetary economics; Market share; Business; Stock (firearms); Relative value; Cross listing; Listing (finance); Stock market; Economics; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.05425731652716437,"gpt":0.2709983389862247,"spread":0.2167410224590604,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002297699,0.0001641191,0.0005270566,0.0001209499,0.0001994079,0.00007370516,0.000486568,0.0001048616,0.0004521403],"category_scores_gemma":[0.00331271,0.0001516843,0.000138561,0.0004961211,0.0001170282,0.0002980823,0.00003950392,0.0002185241,0.000119195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002203217,"about_ca_system_score_gemma":0.000235209,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1164473,"about_ca_topic_score_gemma":0.1363055,"domain_scores_codex":[0.9980025,0.00001910805,0.001104351,0.0003314816,0.00006333616,0.0004792338],"domain_scores_gemma":[0.9988378,0.0002088221,0.0004476688,0.0003418592,0.00005263042,0.0001111881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005075699,0.00005232501,0.5030195,0.001297255,0.00001870818,0.00004453125,0.0006600579,0.000004445463,0.000008636333,0.4026174,0.03047219,0.06175421],"study_design_scores_gemma":[0.00009944833,0.00003708749,0.6218672,0.002797175,0.000004299336,6.623468e-7,0.000009915654,0.00006300787,0.000007543827,0.01242387,0.3625151,0.000174694],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2062321,0.7428573,0.0001754393,0.001666471,0.001005294,0.0009567891,0.0004939726,0.00002303159,0.04658962],"genre_scores_gemma":[0.9311943,0.06634086,0.0001976616,0.001264794,0.0002006077,0.00004360456,0.00002092959,0.00002232387,0.000714921],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7249622,"threshold_uncertainty_score":0.8894363,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2910860963","doi":"10.1111/fire.12171","title":"Higher Moments and Exchange Rate Behavior","year":2019,"lang":"en","type":"article","venue":"Financial Review","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Autoregressive conditional heteroskedasticity; Liberian dollar; Exchange rate; Econometrics; Economics; Pound (networking); Us dollar; Variance (accounting); Financial economics; Monetary economics; Volatility (finance); Computer science; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.0329075863504723,"gpt":0.2555528142586113,"spread":0.222645227908139,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007260259,0.0001300052,0.000435401,0.00006311796,0.00005353864,0.00002548925,0.0001378816,0.0000678799,0.002406944],"category_scores_gemma":[0.0001319424,0.0001410055,0.000077989,0.0002567303,0.00003390944,0.000147643,0.00006542666,0.00008192623,0.001483736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006214553,"about_ca_system_score_gemma":0.00001714694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003414217,"about_ca_topic_score_gemma":0.0000054567,"domain_scores_codex":[0.9988742,0.00002129707,0.0004648699,0.0003860018,0.00003590356,0.00021766],"domain_scores_gemma":[0.999315,0.00002385708,0.0002317027,0.000355946,0.00002846202,0.00004498281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006924094,0.0002421853,0.6469537,0.003888388,0.00001100693,0.000003703045,0.0001551308,0.000001138191,0.00001701754,0.2755604,0.005981474,0.06717891],"study_design_scores_gemma":[0.0001516365,0.00002876881,0.5943749,0.0002126044,0.000007302612,7.540336e-7,2.095372e-7,0.000006965949,0.000001921683,0.003178696,0.4019075,0.0001287095],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.677326,0.3084002,0.0000768811,0.0007478103,0.001173141,0.001278437,0.00008963158,0.00004474516,0.01086311],"genre_scores_gemma":[0.9285269,0.05962679,0.0002558825,0.001639644,0.000173542,0.0002054483,0.00003010159,0.00004084011,0.009500884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3959261,"threshold_uncertainty_score":0.9992937,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1971301664","doi":"10.1111/j.1540-6288.2009.00214.x","title":"Interactions between Corporate Agency Conflicts","year":2009,"lang":"en","type":"article","venue":"Financial Review","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Shareholder; Incentive; Business; Agency (philosophy); Asset (computer security); Agency cost; Preference; Information asymmetry; Compensation (psychology); Principal–agent problem; Investment (military); Finance; Microeconomics; Enterprise value; Industrial organization; Economics; Corporate governance","retraction":null,"screen_n_in":null,"score":{"opus":0.07000110768960308,"gpt":0.2758513979366507,"spread":0.2058502902470476,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002293033,0.0001883244,0.0003830394,0.00006151925,0.0001378004,0.00006686243,0.0002469009,0.00004257095,0.0003449826],"category_scores_gemma":[0.0004130952,0.0001756242,0.0001365038,0.0007380989,0.00002231089,0.0008812206,0.00003778404,0.0001753461,0.002625706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002553754,"about_ca_system_score_gemma":0.00004826293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006343627,"about_ca_topic_score_gemma":0.0000242007,"domain_scores_codex":[0.998898,0.000007349497,0.0003880481,0.0002643012,0.0001838769,0.0002584695],"domain_scores_gemma":[0.9988409,0.00001947046,0.000679868,0.0002848805,0.0001602751,0.00001457912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001235135,0.00009082181,0.0231147,0.00117697,0.000008358475,0.0000673426,0.00001191008,0.000001771404,0.00007565556,0.05467198,0.2453437,0.6754244],"study_design_scores_gemma":[0.0001071046,0.000008656732,0.3291695,0.001215316,0.0000453895,9.008677e-7,1.736955e-7,0.000004482484,0.000004358672,0.00402593,0.6652688,0.0001494281],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4990181,0.1234922,0.006969414,0.04864582,0.005882793,0.004630858,0.0001667274,0.001258904,0.3099352],"genre_scores_gemma":[0.9371992,0.01663864,0.0001135862,0.03927393,0.003373183,0.00003953245,0.0001039037,0.00002645443,0.003231533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.675275,"threshold_uncertainty_score":0.9981509,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1979236203","doi":"10.1111/fire.12055","title":"A New Method to Measure the Performance of Leveraged Exchange‐Traded Funds","year":2014,"lang":"en","type":"article","venue":"Financial Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Leverage (statistics); Compounding; Business; Measure (data warehouse); Tracking error; Tracking (education); Econometrics; Finance; Economics; Computer science; Statistics; Mathematics; Data mining","retraction":null,"screen_n_in":null,"score":{"opus":0.06046788086732553,"gpt":0.2622628485908017,"spread":0.2017949677234762,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002324689,0.0002116617,0.000765972,0.00008963529,0.0001328621,0.00002948223,0.0004600161,0.00008444618,0.0005385285],"category_scores_gemma":[0.0007475864,0.0001699188,0.0002054018,0.0005899226,0.00003347003,0.0001663007,0.00007232471,0.0001788086,0.0003338381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003907906,"about_ca_system_score_gemma":0.00009166339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001662478,"about_ca_topic_score_gemma":0.00002250343,"domain_scores_codex":[0.9983986,0.00008102652,0.0007612936,0.0003467023,0.00008870993,0.0003236652],"domain_scores_gemma":[0.9988668,0.00008410884,0.0003881414,0.0005050224,0.00005090797,0.0001050047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004014656,0.00003931414,0.001938859,0.002244732,0.00002378602,6.465448e-7,0.0003162047,0.00001357448,0.00004810436,0.5900021,0.0989044,0.3064282],"study_design_scores_gemma":[0.0002448365,0.0002557557,0.05250789,0.0009984417,0.00001880145,0.000002261901,0.000002066437,0.00008655225,0.0001148226,0.00701577,0.938507,0.0002458203],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.04844662,0.4988399,0.1415297,0.0263298,0.003104422,0.005115627,0.000224283,0.0001904868,0.2762191],"genre_scores_gemma":[0.7658526,0.1327222,0.04312855,0.03964153,0.002341201,0.0005787615,0.00003837058,0.0001688507,0.01552789],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8396026,"threshold_uncertainty_score":0.6929089,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3123879474","doi":"10.1111/fire.12147","title":"Short Sale Constraints and Single Stock Futures Introductions","year":2018,"lang":"en","type":"article","venue":"Financial Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Futures contract; Exploit; Futures market; Stock (firearms); Loan; Business; Financial economics; Economics; Stock exchange; Monetary economics; Finance; Computer science; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.04694087046013411,"gpt":0.2498797038740352,"spread":0.2029388334139011,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000375118,0.0001719074,0.0004773422,0.00007966931,0.0002457214,0.0000553484,0.0001369594,0.00008060202,0.0008017984],"category_scores_gemma":[0.000501526,0.0001785662,0.00007440902,0.0002518823,0.0004321711,0.0002248211,0.00005655759,0.0001183529,0.0003491539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003953265,"about_ca_system_score_gemma":0.00003801566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002825685,"about_ca_topic_score_gemma":0.00003859532,"domain_scores_codex":[0.9987469,0.00001575422,0.0005227675,0.0004020699,0.00003653384,0.0002759387],"domain_scores_gemma":[0.9994275,0.00001835421,0.0001442467,0.0002759303,0.00005649523,0.00007746168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007542305,0.00007929718,0.002219446,0.0004186362,0.00001404843,0.0000019658,0.0000970467,5.619845e-8,0.0000343006,0.7851794,0.09994596,0.1120023],"study_design_scores_gemma":[0.0001036537,0.0002157043,0.0612436,0.0003721972,0.00001319955,0.00001373812,0.000007441516,0.000003879129,0.00002314606,0.02127899,0.9164786,0.0002458967],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.12113,0.5143816,0.001882532,0.007994054,0.005939938,0.001828699,0.0004518767,0.0002097239,0.3461815],"genre_scores_gemma":[0.8916463,0.0948155,0.002192552,0.005399924,0.00392544,0.000122715,0.00004204999,0.00004931061,0.001806262],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8165326,"threshold_uncertainty_score":0.8779131,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2077646617","doi":"10.1111/j.1540-6288.2006.00139.x","title":"The Subjective Valuation of Indexed Stock Options and Their Incentive Effects","year":2006,"lang":"en","type":"article","venue":"Financial Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Capital asset pricing model; Incentive; Diversification (marketing strategy); Economics; Executive compensation; Stock options; Stock (firearms); Non-qualified stock option; Valuation (finance); Financial economics; Restricted stock; Business; Microeconomics; Actuarial science; Stock market; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.0267525437987944,"gpt":0.2285616837147939,"spread":0.2018091399159995,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006666695,0.0001303308,0.0003908031,0.00004884638,0.0002049366,0.00002885389,0.0001137739,0.00005543267,0.00001373343],"category_scores_gemma":[0.0004920856,0.00009768138,0.00009953021,0.0002655962,0.0001308326,0.0001545774,0.00004059685,0.00009207103,0.00002176545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004464694,"about_ca_system_score_gemma":0.00004891839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002413493,"about_ca_topic_score_gemma":0.00007626629,"domain_scores_codex":[0.9990528,0.00004715983,0.0004891664,0.0002078261,0.00003353693,0.0001694779],"domain_scores_gemma":[0.9991772,0.0001630538,0.0003972533,0.0001804349,0.00006155766,0.00002056771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000008597156,0.00003886305,0.004149192,0.0003724868,0.000009144891,2.702086e-7,0.00005905358,0.000001155262,0.00001425859,0.9807686,0.001444908,0.01313344],"study_design_scores_gemma":[0.0002482666,0.0001208278,0.5550317,0.0006237956,0.00001295751,7.120707e-7,0.000007888763,0.0000628632,0.0001019692,0.3501612,0.09347558,0.0001522308],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1931924,0.7629011,0.002286034,0.001085643,0.0006914775,0.002147331,0.0001580673,0.00003415544,0.03750375],"genre_scores_gemma":[0.9024817,0.09641791,0.0001243227,0.0002800621,0.00011526,0.0001716475,0.0000189094,0.00001357147,0.0003765906],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7092893,"threshold_uncertainty_score":0.3983331,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3121531468","doi":"10.1111/j.1540-6288.2006.00135.x","title":"Variance Spillover and Skewness in Financial Asset Returns","year":2006,"lang":"en","type":"article","venue":"Financial Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo; University of Alberta","funders":"","keywords":"Skewness; Econometrics; Spillover effect; Variance (accounting); Conditional variance; Economics; Stock (firearms); Capital asset pricing model; Financial economics; Autoregressive conditional heteroskedasticity; Volatility (finance); Accounting; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.01970196828317686,"gpt":0.2197699178096942,"spread":0.2000679495265174,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000974267,0.0002819738,0.0008570029,0.0001444978,0.0001016191,0.00006735164,0.0002237232,0.0001736453,0.0002152532],"category_scores_gemma":[0.0007826788,0.0003039296,0.0001279491,0.0005683973,0.0001025726,0.0004055877,0.00007706417,0.0002511246,0.0002317591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008908237,"about_ca_system_score_gemma":0.0001050828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009227454,"about_ca_topic_score_gemma":0.0004890969,"domain_scores_codex":[0.9978524,0.00003725235,0.0009964049,0.0005796229,0.00006455603,0.000469724],"domain_scores_gemma":[0.9991593,0.00004793302,0.0003694839,0.000328897,0.00003262755,0.00006172937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001106766,0.00007959523,0.02533326,0.0007263974,0.000001989275,0.00002432822,0.0000180932,0.000001468076,0.000004263615,0.9519752,0.01867246,0.003151875],"study_design_scores_gemma":[0.0002827431,0.00003984954,0.3658214,0.0007182959,0.000005001556,0.00000447219,7.84817e-7,0.00001941841,0.000004175011,0.17066,0.4621675,0.0002763028],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1318061,0.6550513,0.00159319,0.005273338,0.002266993,0.002188578,0.0006323103,0.0001369676,0.2010513],"genre_scores_gemma":[0.8343003,0.1514956,0.001348835,0.007571356,0.001019069,0.00027839,0.0001116344,0.00007638999,0.003798451],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7813151,"threshold_uncertainty_score":0.9999413,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3123897863","doi":"10.1111/fire.12093","title":"Fails‐to‐Deliver before and after the Implementation of Rule 203 and Rule 204","year":2015,"lang":"en","type":"article","venue":"Financial Review","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"","keywords":"Relation (database); Capitalization; Market capitalization; Business; Rule-based system; Economics; Financial economics; Computer science; Data mining; Stock market; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.01722464333103737,"gpt":0.256723101553868,"spread":0.2394984582228306,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003112562,0.0001041939,0.0002031404,0.00002609919,0.00004937257,0.00004651152,0.00008880309,0.00002280891,0.00006828115],"category_scores_gemma":[0.00008745142,0.00007308972,0.00003232674,0.0002456332,0.0000330961,0.0005178612,0.0001127193,0.00004731945,0.00009495602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001006407,"about_ca_system_score_gemma":0.00002797461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005664441,"about_ca_topic_score_gemma":0.001132541,"domain_scores_codex":[0.9993368,0.000006699319,0.000217912,0.0001563116,0.0001487549,0.0001334657],"domain_scores_gemma":[0.9995166,0.000006401964,0.0001932548,0.0001419494,0.0001288478,0.00001294436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00005818163,0.00002602015,0.2542228,0.00247968,0.000008674005,0.00001011206,0.0002217607,5.920813e-7,0.0000166812,0.006292691,0.1022308,0.634432],"study_design_scores_gemma":[0.0001883621,0.0000138858,0.6066204,0.0004902537,0.00003808607,9.83261e-7,0.00002212471,0.000002949435,0.000004053762,0.001153327,0.391393,0.00007256426],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750437,0.02084097,0.00005693686,0.00288826,0.0001303438,0.0005064351,0.00002156554,0.00001091304,0.0005008987],"genre_scores_gemma":[0.9859318,0.005904362,0.000100057,0.007321043,0.0004155043,0.00008650048,0.0000127237,0.0000134062,0.0002145853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6343595,"threshold_uncertainty_score":0.2980512,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2079483512","doi":"10.1111/j.1540-6288.2007.00189.x","title":"Voluntary Listing Requirements and Corporate Performance: The Case of the Dey Report and Canadian Firms","year":2008,"lang":"en","type":"article","venue":"Financial Review","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Concordia University","funders":"","keywords":"Listing (finance); Business; Accounting; Independence (probability theory); Quality (philosophy); Compliance (psychology); Turnover; Finance; Economics; Management; Psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.04956576770029745,"gpt":0.2288977830930494,"spread":0.179332015392752,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004885406,0.0001353938,0.0002375109,0.00002877644,0.000563831,0.00002442347,0.000152,0.00003515172,0.00002139248],"category_scores_gemma":[0.0003821191,0.00008319011,0.00004552859,0.0004416787,0.0001516492,0.0003911846,0.0001150255,0.0001261131,0.00001030097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002330106,"about_ca_system_score_gemma":0.0001852186,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06154648,"about_ca_topic_score_gemma":0.05256187,"domain_scores_codex":[0.9991042,0.00001020052,0.0003545239,0.0002001552,0.0001251224,0.0002058053],"domain_scores_gemma":[0.9988323,0.00001537828,0.0007030469,0.0003041592,0.0001285109,0.00001664125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008281007,0.00001219061,0.9180936,0.00233492,0.000007543367,0.002317805,0.00004283773,0.000001852391,0.000006947659,0.001205716,0.03312141,0.04284686],"study_design_scores_gemma":[0.0001216089,0.000006594696,0.7635741,0.00155588,0.00005332635,0.001394441,0.000004220887,0.0001043053,0.000002716774,0.0001362261,0.2329258,0.0001207394],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821832,0.0145337,0.000003355113,0.001285048,0.0002354633,0.0004067912,0.00001072458,0.000008598996,0.001333141],"genre_scores_gemma":[0.981361,0.01425197,0.00001651686,0.003629316,0.0002800215,0.00001860832,0.00000624832,0.00001085339,0.0004254085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1998044,"threshold_uncertainty_score":0.9647264,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4308385786","doi":"10.1111/fire.12329","title":"Monetary policy, ownership structure, and risk‐taking at financial intermediaries","year":2022,"lang":"en","type":"article","venue":"Financial Review","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Santander Universities; Cranfield University; University of Victoria","keywords":"Monetary policy; Business; Intermediary; Shareholder; Monetary economics; Financial intermediary; Financial system; Risk appetite; Stakeholder; Finance; Economics; Corporate governance; Risk management","retraction":null,"screen_n_in":null,"score":{"opus":0.02403434181409581,"gpt":0.2428944138786476,"spread":0.2188600720645518,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001113687,0.0002432791,0.0006870948,0.0002165069,0.0007243496,0.00004018006,0.000364731,0.00008600968,0.001170213],"category_scores_gemma":[0.004691123,0.000272422,0.0001673771,0.0007429217,0.0002383298,0.00015366,0.0004873582,0.0003923817,0.0000514931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004019955,"about_ca_system_score_gemma":0.000150849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004725823,"about_ca_topic_score_gemma":0.0002603946,"domain_scores_codex":[0.9978977,0.0001044182,0.0008410862,0.0006239729,0.0001127879,0.0004199831],"domain_scores_gemma":[0.9981525,0.00009165637,0.001166169,0.000477876,0.00003114616,0.0000806346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003430338,0.00008920187,0.5285822,0.001345531,0.00002188797,0.000009529733,0.001128339,0.0001145166,0.000003908913,0.3764721,0.006149726,0.08604883],"study_design_scores_gemma":[0.0002392977,0.00008215447,0.686754,0.0001468058,0.00002189335,0.00001925782,0.000003448598,0.0001382774,0.000005680133,0.06878115,0.2434737,0.0003343678],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7488962,0.2457999,0.0003712431,0.001115183,0.0009421627,0.0006816307,0.001062297,0.00006387085,0.001067489],"genre_scores_gemma":[0.9747913,0.02289123,0.0003330555,0.001165984,0.0003732137,0.00007819043,0.0000770141,0.00003150455,0.0002584628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3076909,"threshold_uncertainty_score":0.9999728,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1966978563","doi":"10.1111/j.1540-6288.2007.00162.x","title":"Market Underreaction to Free Cash Flows from IPOs","year":2007,"lang":"en","type":"article","venue":"Financial Review","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Initial public offering; Monetary economics; Free cash flow; Cash flow; Business; Ask price; Operating cash flow; Cash; Stock (firearms); Cash flow statement; Stock market; Cash management; Economics; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.02166330319476605,"gpt":0.2387491005644393,"spread":0.2170857973696733,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005868559,0.0001892078,0.0003288707,0.0000678103,0.000105894,0.00005861669,0.0003259112,0.00006836629,0.0008016563],"category_scores_gemma":[0.0007503131,0.0001815855,0.0001163331,0.0007268739,0.00001078172,0.0005886352,0.0001323713,0.000136129,0.002061711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006162776,"about_ca_system_score_gemma":0.00004312866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001948632,"about_ca_topic_score_gemma":0.004806547,"domain_scores_codex":[0.9987051,0.000005867572,0.0003755284,0.0003261799,0.0002717387,0.0003155253],"domain_scores_gemma":[0.9990945,0.00003783638,0.0002712965,0.0004581151,0.0001175493,0.00002068353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005562396,0.00004652647,0.006234585,0.0006810927,0.000005594412,0.0000599466,0.000005334939,0.000001413296,0.0000791046,0.003011996,0.7462102,0.2436085],"study_design_scores_gemma":[0.0001622712,0.000005437668,0.2716471,0.001355237,0.00003821026,8.41294e-7,0.000001240852,0.00001214575,0.000008203043,0.001344022,0.7252489,0.000176387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5199669,0.1029755,0.04311014,0.02492131,0.01083264,0.005518141,0.0002896208,0.0008681017,0.2915177],"genre_scores_gemma":[0.7095422,0.03830136,0.003454072,0.2079396,0.02751599,0.0002861007,0.0003110861,0.000251688,0.01239797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2791197,"threshold_uncertainty_score":0.9987153,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391880970","doi":"10.1111/fire.12380","title":"Sentiment and the cross‐section of expected stock returns","year":2024,"lang":"en","type":"article","venue":"Financial Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Capital asset pricing model; Stock (firearms); Market sentiment; Stock market; Economics; Econometrics; Sentiment analysis; Financial economics; BETA (programming language); Monetary economics; Computer science; Artificial intelligence; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.02929068300309027,"gpt":0.2589451346458223,"spread":0.229654451642732,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007270721,0.0001219228,0.0004340172,0.00006183489,0.00008345713,0.00007580873,0.0001057965,0.00005852308,0.0002795743],"category_scores_gemma":[0.0003023348,0.00009046868,0.0001547458,0.0002986328,0.0001703716,0.0001718328,0.00004537269,0.0001282827,0.00006052479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003186031,"about_ca_system_score_gemma":0.00003873768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00011059,"about_ca_topic_score_gemma":0.000009905368,"domain_scores_codex":[0.9989356,0.00002551295,0.0005924962,0.0002579355,0.00004046654,0.0001479273],"domain_scores_gemma":[0.9995093,0.00005651493,0.0001799892,0.000201296,0.00002679107,0.00002614382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002205816,0.0000180397,0.001149668,0.001807641,0.00001979704,0.000002332105,0.0001701498,4.783151e-7,0.000004253979,0.9788005,0.01269459,0.005310484],"study_design_scores_gemma":[0.0005027266,0.00009413738,0.04721613,0.002268044,0.00003529628,0.000008701097,0.000006695263,0.0001739713,0.00002830296,0.08033355,0.8691096,0.0002228254],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.05160225,0.9013578,0.0003392359,0.00210459,0.001684181,0.0008603437,0.00009398308,0.00005600551,0.04190157],"genre_scores_gemma":[0.7286243,0.2669639,0.0001353664,0.0009269649,0.000416103,0.0001560859,0.00001570893,0.0000247146,0.00273678],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.8984669,"threshold_uncertainty_score":0.3689206,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3123467624","doi":"10.1111/j.1540-6288.2009.00242.x","title":"Predictability in Consumption Growth and Equity Returns: A Bayesian Investigation","year":2010,"lang":"en","type":"article","venue":"Financial Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Econometrics; Predictability; Economics; Volatility (finance); Elasticity of intertemporal substitution; Elasticity of substitution; Dividend; Equity premium puzzle; Bayesian probability; Capital asset pricing model; Equity (law); Financial economics; Growth model; Microeconomics; Statistics; Mathematics; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.04306354782165942,"gpt":0.2634117361453207,"spread":0.2203481883236612,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001222571,0.0001575896,0.0004669141,0.00009745242,0.00007505792,0.00004656726,0.0001410496,0.0001420072,0.0002277161],"category_scores_gemma":[0.001947748,0.0001687557,0.00006352325,0.0002483545,0.0001812295,0.0004003636,0.00008136826,0.0003202625,0.00005600468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003516418,"about_ca_system_score_gemma":0.00006729588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002583079,"about_ca_topic_score_gemma":0.0004868286,"domain_scores_codex":[0.9985683,0.00003041652,0.0007093393,0.0004016048,0.00004529315,0.0002450603],"domain_scores_gemma":[0.9993279,0.00004317739,0.0002709765,0.0002444169,0.00002456432,0.00008897105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000007045604,0.00003226439,0.3231573,0.001789402,0.000001935965,0.000001871411,0.00007482129,3.37712e-8,0.00005672525,0.6708493,0.000827756,0.003201649],"study_design_scores_gemma":[0.0002310842,0.00004730495,0.7501785,0.0005871904,0.000005496997,0.000003140155,0.000001394031,0.00005007287,0.00002263636,0.2349737,0.01370619,0.0001932747],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9059939,0.06644654,0.0001729353,0.003285165,0.0008449985,0.001249982,0.0001305093,0.00006711484,0.02180887],"genre_scores_gemma":[0.9489646,0.04859062,0.0006788643,0.001485548,0.0001093688,0.00009798878,0.00002409852,0.00001194107,0.00003695473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4358755,"threshold_uncertainty_score":0.6881658,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1998784509","doi":"10.1111/j.1540-6288.2008.00191.x","title":"Expected Time Value Decay of Options: Implications for Put‐Rolling Strategies","year":2008,"lang":"en","type":"article","venue":"Financial Review","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Expiration; Value (mathematics); Expiration date; Time value of money; Economics; Asset (computer security); Constant (computer programming); Future value; Econometrics; Monetary economics; Financial economics; Mathematics; Statistics; Interest rate; Chemistry; Computer science; Finance; Medicine; Internal medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.0590798559188747,"gpt":0.2787872208131473,"spread":0.2197073648942726,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002532158,0.0001499431,0.0006042668,0.00009781456,0.000247556,0.0000132891,0.0002828958,0.00008655869,0.00005558008],"category_scores_gemma":[0.0004124229,0.0001702678,0.0002239286,0.0005987031,0.0000807602,0.0001675088,0.00003248376,0.00007719359,0.0002208915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003999314,"about_ca_system_score_gemma":0.0001930697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003612025,"about_ca_topic_score_gemma":0.000002877932,"domain_scores_codex":[0.9985156,0.000003903801,0.0008745286,0.0003400943,0.00003036544,0.0002355097],"domain_scores_gemma":[0.9987889,0.000106182,0.0005046607,0.0003711377,0.0001719152,0.00005718145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003962439,0.00006880606,0.00007862002,0.0003393171,0.000008280772,1.431719e-7,0.00004322086,0.0000169041,0.00004670622,0.9955925,0.001403384,0.002398186],"study_design_scores_gemma":[0.0004842826,0.000125333,0.0156006,0.0007121045,0.0000452015,0.00002450074,0.000007550172,0.0002075078,0.00007443412,0.7699034,0.2123582,0.0004568108],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001202062,0.1648317,0.8260021,0.001284767,0.0001021794,0.001212382,0.0006742249,0.00005870917,0.004631926],"genre_scores_gemma":[0.5441407,0.2990776,0.1405743,0.002611988,0.001235293,0.009824049,0.0008248135,0.0002151993,0.001496049],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6854278,"threshold_uncertainty_score":0.6943319,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3122390684","doi":"10.1111/fire.12005","title":"International Cross‐Listings and Subsequent Security‐Market Choices: Evidence from ADRs","year":2013,"lang":"en","type":"article","venue":"Financial Review","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Equity (law); Business; Capital market; Debt; Emerging markets; Receipt; Cross listing; Equity capital markets; Financial system; Shareholder; Monetary economics; Finance; Economics; Accounting; Private equity; Corporate governance","retraction":null,"screen_n_in":null,"score":{"opus":0.02672720231014797,"gpt":0.2594304127861571,"spread":0.2327032104760091,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003186823,0.0001968725,0.0003060129,0.00003950412,0.0001148789,0.0003438681,0.0003761267,0.0000593224,0.002459226],"category_scores_gemma":[0.001466829,0.0001775427,0.00008433115,0.0002857994,0.00006849801,0.002328946,0.0001936123,0.0001518595,0.0008483717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003484706,"about_ca_system_score_gemma":0.00004055308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004650228,"about_ca_topic_score_gemma":0.0002022537,"domain_scores_codex":[0.9986915,0.000009808657,0.0003862771,0.0003916862,0.0002873817,0.0002333218],"domain_scores_gemma":[0.9989363,0.00007247603,0.00045839,0.0002426546,0.0002721457,0.00001802933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004367945,0.00007745706,0.5067807,0.004086813,0.00002328381,0.0000420626,0.00005192471,0.00000172565,0.0001083084,0.004496766,0.3342784,0.1500089],"study_design_scores_gemma":[0.0001278745,0.000003109066,0.4313185,0.004260765,0.00002194393,8.849628e-7,9.374286e-7,0.0001359369,0.000002605875,0.001545379,0.5624292,0.0001528151],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8513244,0.1159831,0.0001791858,0.006298547,0.001793961,0.001324987,0.00006970976,0.000159155,0.02286695],"genre_scores_gemma":[0.7914662,0.1709076,0.0003503727,0.0279364,0.005120652,0.0003875515,0.00009667985,0.0000574531,0.003677064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2281509,"threshold_uncertainty_score":0.9999296,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387222154","doi":"10.1111/fire.12366","title":"Determinants of commodity market liquidity","year":2023,"lang":"en","type":"article","venue":"Financial Review","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Egg Farmers of Canada; University of Memphis","keywords":"Market liquidity; Futures contract; Leverage (statistics); Economics; Monetary economics; Market impact; Commodity; Position (finance); Accounting liquidity; Financial economics; Liquidity crisis; Market microstructure; Finance; Order (exchange)","retraction":null,"screen_n_in":null,"score":{"opus":0.05102431571344132,"gpt":0.2787372024485162,"spread":0.2277128867350749,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002190391,0.0001332962,0.0007550527,0.00008866614,0.00006419409,0.000009005141,0.0002834879,0.00008461359,0.001077739],"category_scores_gemma":[0.00142577,0.0001464446,0.0002204721,0.000555306,0.00005280828,0.00008946371,0.0001334967,0.0001187669,0.0003008939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000326499,"about_ca_system_score_gemma":0.00004902225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000992467,"about_ca_topic_score_gemma":0.00004636875,"domain_scores_codex":[0.998503,0.00003969526,0.0008584182,0.0002942652,0.0000462735,0.0002582926],"domain_scores_gemma":[0.9988775,0.00009050263,0.0004341736,0.0004892414,0.00004389174,0.00006471478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003320276,0.0001397166,0.7397653,0.007216707,0.00001326431,0.00001448426,0.00004218956,4.620321e-7,0.000001712083,0.02000242,0.1920412,0.04072943],"study_design_scores_gemma":[0.0001437205,0.00004532393,0.5093738,0.0007074622,0.000007953181,0.000001378841,6.027694e-7,0.0064828,0.000005615535,0.01961063,0.4634249,0.0001957937],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8757614,0.05645147,0.0003354769,0.0006755276,0.001349798,0.001095324,0.002035415,0.0001387352,0.0621568],"genre_scores_gemma":[0.8972614,0.0990423,0.000184228,0.0005666207,0.0001090849,0.00006442218,0.00005312189,0.00002607204,0.002692756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2713838,"threshold_uncertainty_score":0.9998354,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3124006904","doi":"10.1111/j.1540-6288.2007.00164.x","title":"Repricing and Executive Turnover","year":2007,"lang":"en","type":"article","venue":"Financial Review","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Business; Stock (firearms); Turnover; Economics; Management; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01751237620639211,"gpt":0.2386742428288922,"spread":0.2211618666225001,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006004698,0.0001242946,0.0002412191,0.00004216759,0.00008973117,0.00003416872,0.0000993477,0.00003871096,0.00005743907],"category_scores_gemma":[0.0004611648,0.0001096911,0.00005503833,0.0004701524,0.00002956491,0.0004913367,0.00007828714,0.0001043744,0.0002531481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001755237,"about_ca_system_score_gemma":0.00002042769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001592317,"about_ca_topic_score_gemma":0.0001283721,"domain_scores_codex":[0.9991411,0.000002413072,0.000251931,0.0002358239,0.0001436215,0.0002250839],"domain_scores_gemma":[0.9994563,0.00002286505,0.0002526417,0.0001719485,0.0000875692,0.000008711597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000615134,0.00006840301,0.1055949,0.005200793,0.000009396441,0.0001990762,0.00003252798,7.880798e-7,0.0001453588,0.131625,0.224173,0.5328893],"study_design_scores_gemma":[0.0001119292,0.000003295,0.2964242,0.001446151,0.00002180001,0.000002855342,0.000001403431,0.000002930019,0.000008934298,0.0009311527,0.7009278,0.000117553],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5273383,0.2505157,0.008594746,0.005353954,0.0018583,0.001956088,0.00001338049,0.0003179377,0.2040516],"genre_scores_gemma":[0.9239653,0.03018019,0.0002710493,0.04037219,0.002715746,0.00002369388,0.0000130732,0.00004082684,0.002417942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5327718,"threshold_uncertainty_score":0.4473072,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3124509658","doi":"10.1111/fire.12102","title":"When Analysts Talk, Do Institutional Investors Listen? Evidence from Target Price Changes","year":2016,"lang":"en","type":"article","venue":"Financial Review","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University; Dalhousie University","funders":"","keywords":"Institutional investor; Earnings; Stock price; Business; Stock (firearms); Monetary economics; Investment decisions; Financial economics; Investment (military); Economics; Finance; Behavioral economics; Corporate governance","retraction":null,"screen_n_in":null,"score":{"opus":0.02691592403766162,"gpt":0.2386149722614537,"spread":0.2116990482237921,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000769479,0.0003114599,0.0005074558,0.0001331816,0.0002383684,0.0001456203,0.0006747229,0.00007749884,0.002150026],"category_scores_gemma":[0.03120551,0.0002321704,0.0001570995,0.0006621956,0.0001224821,0.001682111,0.0004994792,0.0001599956,0.002185378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001450298,"about_ca_system_score_gemma":0.00009967939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007127234,"about_ca_topic_score_gemma":0.0003018971,"domain_scores_codex":[0.9978254,0.00003370646,0.0004583822,0.0006257093,0.0006370064,0.0004198005],"domain_scores_gemma":[0.9929922,0.0001105325,0.006158444,0.0004799446,0.0002266711,0.00003216543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000291654,0.00007424848,0.03700349,0.003895645,0.00006090867,0.0001074545,0.00005647496,0.000005906856,0.0003347625,0.02805211,0.242348,0.6880319],"study_design_scores_gemma":[0.0001785771,0.000008832944,0.04869367,0.01399053,0.0001089556,9.578337e-7,0.000001912256,0.00001029384,0.00001546492,0.002292772,0.9343669,0.0003311836],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1300481,0.4789446,0.265401,0.07453693,0.005110196,0.004647617,0.0001865793,0.001190946,0.03993405],"genre_scores_gemma":[0.7877238,0.122727,0.00478844,0.05937982,0.01382438,0.0006260076,0.0001618253,0.0001739218,0.01059482],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6920189,"threshold_uncertainty_score":0.9987621,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3198054104","doi":"10.1111/fire.12285","title":"Credit derivatives and loan yields","year":2021,"lang":"en","type":"article","venue":"Financial Review","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Loan; Securitization; Yield (engineering); Business; Financial system; Real estate; Loan sale; Non-conforming loan; Derivative (finance); Monetary economics; Finance; Economics; Non-performing loan","retraction":null,"screen_n_in":null,"score":{"opus":0.03239677899229522,"gpt":0.252135030508209,"spread":0.2197382515159138,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004960392,0.0001133377,0.0004218416,0.00004021815,0.00009830397,0.00003507664,0.0001102484,0.0000703335,0.0009389836],"category_scores_gemma":[0.002267848,0.0001298254,0.00008629532,0.0003968522,0.00006968946,0.0001323005,0.00007631111,0.0001023171,0.0001648894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004136994,"about_ca_system_score_gemma":0.00006270329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001401648,"about_ca_topic_score_gemma":0.00002583366,"domain_scores_codex":[0.9988839,0.00002373667,0.0004893694,0.0003826453,0.00003552585,0.0001847901],"domain_scores_gemma":[0.9993153,0.00006004537,0.0001839686,0.0003327722,0.00006253798,0.00004537781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002288209,0.0001157604,0.1257136,0.001947019,0.00001214265,0.000009163276,0.000263723,0.000001984258,0.000009723621,0.8078887,0.007438749,0.05659717],"study_design_scores_gemma":[0.0001138136,0.00002376024,0.4200709,0.000434361,0.000007179678,0.000007996505,0.000003039646,0.00002598425,0.00002429392,0.04546896,0.5336367,0.0001829763],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.15285,0.8141676,0.003608656,0.004469152,0.000557515,0.0003923796,0.0000804115,0.00005461291,0.0238197],"genre_scores_gemma":[0.8394335,0.1521623,0.003081179,0.003274527,0.0004092714,0.0000609199,0.00004852868,0.0000364582,0.001493361],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7624197,"threshold_uncertainty_score":0.9999743,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2168187274","doi":"10.1111/fire.12013","title":"Performance of Thinly Traded Assets: A Case in Real Estate","year":2013,"lang":"en","type":"article","venue":"Financial Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Market liquidity; Business; Real estate; Asset (computer security); Finance; Metric (unit); Liquidity risk; Financial economics; Economics; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.03579812670466211,"gpt":0.2326731515936949,"spread":0.1968750248890327,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000764276,0.0001418915,0.0006816575,0.0001190625,0.0000393619,0.00001964376,0.000165034,0.00008086722,0.0004892892],"category_scores_gemma":[0.0002134926,0.0001588497,0.0001163994,0.000274594,0.00003844304,0.0003314259,0.00003598266,0.0001473939,0.0006293833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007961522,"about_ca_system_score_gemma":0.00005329853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001523008,"about_ca_topic_score_gemma":0.0002382459,"domain_scores_codex":[0.9984569,0.00001880105,0.0009695248,0.0002592052,0.0000203667,0.0002752103],"domain_scores_gemma":[0.9992018,0.00003891827,0.0003889101,0.0002896442,0.00002208719,0.0000586262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003218692,0.0002697356,0.1774686,0.006661477,0.00002256044,0.000176553,0.0008493022,0.00003187189,0.00001154,0.01386721,0.009239796,0.7913691],"study_design_scores_gemma":[0.002620422,0.0006452629,0.3621482,0.005903813,0.00005316676,0.0005441671,0.00005084744,0.01503463,0.00007230945,0.007687282,0.6031555,0.002084373],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8793548,0.003207566,0.000006671356,0.0002322722,0.0001862215,0.0004136189,0.00002524365,0.00001580771,0.1165578],"genre_scores_gemma":[0.7233002,0.2759719,0.0003251321,0.0001808672,0.0000417327,0.00005860248,0.000007357015,0.00001703395,0.00009726296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7892848,"threshold_uncertainty_score":0.8089658,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4295885129","doi":"10.1111/fire.12321","title":"Governance and leverage: International evidence","year":2022,"lang":"en","type":"article","venue":"Financial Review","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta; Saint Mary's University","funders":"","keywords":"Leverage (statistics); Corporate governance; Shareholder; Business; Natural experiment; Accounting; On board; Percentage point; Monetary economics; Economics; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.03453355988317917,"gpt":0.250628708054016,"spread":0.2160951481708368,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004009353,0.0001210256,0.0002024256,0.00002458755,0.0002206487,0.00007958208,0.0003541272,0.00001498977,0.0007915797],"category_scores_gemma":[0.0005785004,0.0001239918,0.00006290965,0.0004083364,0.00002524485,0.001337002,0.0003912575,0.000172469,0.0001458059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005480812,"about_ca_system_score_gemma":0.00005494745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001847353,"about_ca_topic_score_gemma":0.00002982428,"domain_scores_codex":[0.9989643,0.000009463191,0.0002292139,0.0002790861,0.0003556783,0.0001623036],"domain_scores_gemma":[0.9993793,0.00002428685,0.0003340441,0.0001853884,0.00007077289,0.000006175573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006660072,0.00008332114,0.04266936,0.002297332,0.00000960632,0.0001266361,0.00001380167,0.00002243635,0.00005367814,0.1635709,0.5202476,0.2708387],"study_design_scores_gemma":[0.0001219015,0.000006966251,0.1634971,0.0009345637,0.00001653455,0.000007150056,0.000001001243,0.00004425112,8.676282e-7,0.0007297867,0.8345054,0.0001344472],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1675072,0.7112404,0.001320899,0.07674161,0.007599623,0.00214406,0.0001957077,0.0003235942,0.03292683],"genre_scores_gemma":[0.8344898,0.108159,0.00008849036,0.0500952,0.00151706,0.0002444295,0.00002169045,0.00002743247,0.005356897],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6669826,"threshold_uncertainty_score":0.8667243,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3124606130","doi":"10.1111/fire.12217","title":"Did SFAS 166/167 decrease the information asymmetry of securitizing banks?","year":2019,"lang":"en","type":"article","venue":"Financial Review","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Securitization; Information asymmetry; Business; Accounting; Consolidation (business); Financial system; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.01255209769644493,"gpt":0.2223490610244539,"spread":0.209796963328009,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001563594,0.000140934,0.0004993949,0.0001074648,0.00008719401,0.00003551386,0.0003252579,0.00008215546,0.0006927183],"category_scores_gemma":[0.002284315,0.0001259494,0.0001989913,0.0006356455,0.00005992427,0.0004854912,0.00007573351,0.000147262,0.00099791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007861178,"about_ca_system_score_gemma":0.00009092987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009767148,"about_ca_topic_score_gemma":0.00001140382,"domain_scores_codex":[0.9984078,0.00003523778,0.00102984,0.0002164041,0.0000869525,0.0002237519],"domain_scores_gemma":[0.9984629,0.000116489,0.0006874035,0.0005873518,0.00009806087,0.00004781269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000106284,0.00009397537,0.07353061,0.004002048,0.0000139821,3.814106e-7,0.0004626098,0.00003792451,0.000002806393,0.8510619,0.002759619,0.06802353],"study_design_scores_gemma":[0.0003604022,0.00007333091,0.3542835,0.00137432,0.00002116635,0.000005121941,0.000009871173,0.0004690946,0.00003645089,0.02251254,0.6205446,0.0003096253],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6942228,0.2512642,0.002675865,0.001911448,0.001365726,0.002338732,0.0002785126,0.00007382093,0.04586892],"genre_scores_gemma":[0.9891254,0.009232193,0.000260052,0.001154899,0.00006380073,0.00003083602,0.00003610773,0.00001217748,0.0000845841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8285493,"threshold_uncertainty_score":0.9997799,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4282962294","doi":"10.1111/fire.12310","title":"Option trading and returns versus the 52‐week high and low","year":2022,"lang":"en","type":"article","venue":"Financial Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Stock (firearms); Stock price; Financial economics; Economics; Monetary economics; Stock trading; Stock exchange; Business; Finance; Stock market","retraction":null,"screen_n_in":null,"score":{"opus":0.0461702537043675,"gpt":0.2244806310832938,"spread":0.1783103773789263,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000696952,0.0001305825,0.0003510496,0.00004795839,0.0004407852,0.00005496837,0.0001406064,0.00003274182,0.0002576327],"category_scores_gemma":[0.0002381004,0.0001177536,0.00006384047,0.0002222052,0.00007747599,0.0001649634,0.0001102151,0.0001974788,0.0000192686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005534792,"about_ca_system_score_gemma":0.00003039737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001042356,"about_ca_topic_score_gemma":0.0000129591,"domain_scores_codex":[0.9990538,0.0000354382,0.0003754221,0.0002914009,0.00004550274,0.0001983918],"domain_scores_gemma":[0.9994841,0.000062827,0.0002159834,0.0001866431,0.000009692818,0.0000407745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000279908,0.00002629439,0.0003402817,0.0003509833,0.00000761758,0.000003617086,0.0001114906,0.000001140511,0.000002290017,0.9814606,0.005518804,0.01214893],"study_design_scores_gemma":[0.0005978404,0.0003751539,0.0465929,0.0002571034,0.00002494639,0.00001108782,0.00003861521,0.0001981821,0.00000219654,0.09277006,0.8588466,0.0002852871],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3388963,0.6255124,0.0001145523,0.00895931,0.002246108,0.00114911,0.0002886779,0.0000544023,0.02277914],"genre_scores_gemma":[0.847138,0.1499121,0.0001119366,0.00208351,0.0001697822,0.0001631179,0.00002127858,0.00001758864,0.0003826288],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8886905,"threshold_uncertainty_score":0.4801851,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}