{"id":"W2913386208","doi":"10.2139/ssrn.1787232","title":"Market Timing and Managerial Talent","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Business; Industrial organization; Marketing; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001800399,0.000156377,0.0002417428,0.0009412698,0.0003502135,0.002064951,0.0003223305,0.0007675268,0.0225376],"category_scores_gemma":[0.01610743,0.0001485573,0.0001465418,0.000753472,0.0003330523,0.001258577,0.0006639558,0.0006993985,0.001764635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002722054,"about_ca_system_score_gemma":0.0002227935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003917317,"about_ca_topic_score_gemma":0.0005602815,"domain_scores_codex":[0.9996696,0.0001064675,0.00002144335,0.00003902892,0.00007762235,0.00008593831],"domain_scores_gemma":[0.9804745,0.01061988,0.004524636,0.0005043534,0.0005933466,0.003283434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003967968,0.002212593,0.8563161,0.0001438128,0.0002601019,0.00152555,0.001568464,0.006066786,0.01106148,0.03817281,0.003371165,0.07533321],"study_design_scores_gemma":[0.0001499454,0.0009184062,0.9607909,0.00003611125,0.00008023674,0.0004905005,0.00104123,0.00455662,0.001286812,0.0272485,0.003362612,0.00003805671],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838731,0.0003860263,0.0005138187,0.0003086956,0.00002846196,0.000009764504,0.0001275681,0.00001555127,0.01473699],"genre_scores_gemma":[0.9971788,0.00007245543,0.0000763311,0.00002903926,0.0000375753,0.00000297778,0.00005134822,0.000005263395,0.002546265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0225376,"threshold_uncertainty_score":0.07539582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548730428361261,"score_gpt":0.1902022517118115,"score_spread":0.1747149474281988,"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."}}