{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005051522,0.0004544913,0.0004434202,0.001967957,0.001587936,0.004792148,0.001200915,0.001490045,0.01646207],"category_scores_gemma":[0.0513334,0.0002984341,0.000344366,0.0009955472,0.0006204631,0.00235602,0.001830423,0.001856046,0.003640225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009908236,"about_ca_system_score_gemma":0.001130394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001909736,"about_ca_topic_score_gemma":0.003299539,"domain_scores_codex":[0.9945951,0.001752164,0.0002988738,0.0006893409,0.001588929,0.001075649],"domain_scores_gemma":[0.943303,0.02770855,0.01526119,0.006553233,0.003266089,0.003907882],"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":[0.001077161,0.0006687084,0.291885,0.0003904137,0.0002415464,0.00180156,0.0121293,0.003855483,0.01456226,0.04939996,0.04303581,0.5809528],"study_design_scores_gemma":[0.0002294528,0.001226336,0.6189625,0.0005103962,0.0003664062,0.00353092,0.01730732,0.02005083,0.01905637,0.04327839,0.27513,0.0003509939],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7959788,0.001433427,0.02183402,0.004111519,0.001044534,0.0003784802,0.001414498,0.001117969,0.1726868],"genre_scores_gemma":[0.9847867,0.0002097241,0.002806486,0.0005802452,0.0003635347,0.00006505107,0.0003962064,0.00008188058,0.01071018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01646207,"threshold_uncertainty_score":0.05507118,"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."}}