{"id":"W2960266161","doi":"10.1287/mnsc.2019.3423","title":"Casting Conference Calls","year":2020,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":99,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"London School of Economics and Political Science; National Science Foundation","keywords":"Accrual; Earnings; Equity (law); Business; Portfolio; Exploit; Accounting; Corporate finance; Monetary economics; Financial economics; Economics; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003857788,0.00009105481,0.0001423267,0.00009922872,0.0002045813,0.0002264759,0.0004785858,0.00001577388,0.0003956664],"category_scores_gemma":[0.00007319823,0.00009937855,0.00002948222,0.0006081815,0.0002454979,0.0004729558,0.0002076439,0.00005863599,0.0006786799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003541454,"about_ca_system_score_gemma":0.00001239759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003853945,"about_ca_topic_score_gemma":0.000001514536,"domain_scores_codex":[0.9989265,0.000003134092,0.0002563536,0.000445667,0.00006845637,0.0002998938],"domain_scores_gemma":[0.9995843,0.000006756197,0.0001137511,0.0001710018,0.00001629561,0.0001078691],"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":[0.00000225844,0.00001034463,0.004166812,0.00002391144,0.000003472445,0.000007401038,0.0002075036,0.00003407268,0.00005131558,0.9930901,0.00108996,0.001312826],"study_design_scores_gemma":[0.001000325,0.0003222429,0.2792087,0.00006601637,0.00001186142,0.000002706547,0.001212008,0.05676397,0.000496875,0.1962799,0.4634959,0.00113953],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04896675,0.0001310222,0.008875107,0.003260367,0.0002832457,0.0001933308,0.00001021001,0.00007104059,0.9382089],"genre_scores_gemma":[0.9944469,0.00005323537,0.002305176,0.00223502,0.00004551536,0.000009879698,9.17141e-7,0.000005592145,0.0008977642],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9454802,"threshold_uncertainty_score":0.8723283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08325292309957803,"score_gpt":0.2242107732895906,"score_spread":0.1409578501900126,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}