{"id":"W3127014518","doi":"10.2139/ssrn.3680313","title":"CEO Overconfidence, Moral Hazard, and Investment","year":2020,"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":"University of Waterloo","funders":"","keywords":"Overconfidence effect; Moral hazard; Investment (military); Actuarial science; Business; Economics; Financial economics; Psychology; Social psychology; Political science; Law; Microeconomics; Incentive","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":[0.004046972,0.0001345502,0.0002796452,0.0006815474,0.0003601435,0.001789,0.0004796853,0.001262453,0.00588432],"category_scores_gemma":[0.03830994,0.0001611109,0.0001963836,0.0005614306,0.0006633356,0.0008807875,0.000569346,0.00227382,0.0003317008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004905519,"about_ca_system_score_gemma":0.0005336636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001946756,"about_ca_topic_score_gemma":0.002690085,"domain_scores_codex":[0.9992462,0.0002988306,0.0000623641,0.00007484778,0.0001515631,0.000166142],"domain_scores_gemma":[0.9240608,0.0383196,0.02678442,0.001787608,0.001304727,0.007742988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004588022,0.0004842287,0.9862489,0.0000196302,0.00005841731,0.0001734101,0.0003377654,0.0005211465,0.0001493395,0.001376824,0.0005000716,0.009671587],"study_design_scores_gemma":[0.00003486805,0.0001696054,0.9916553,0.00002168943,0.00003912066,0.0002474686,0.0007536107,0.001951907,0.00007544179,0.004700834,0.0003371137,0.00001299893],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948316,0.0005154947,0.0001496827,0.0009523114,0.00001713145,0.00000419308,0.00004526739,0.000003456124,0.003480932],"genre_scores_gemma":[0.999353,0.0001076378,0.00002924224,0.00007383136,0.00003138958,0.000001633705,0.00002837931,0.000001312626,0.0003736077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00588432,"threshold_uncertainty_score":0.02140272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01645531639077346,"score_gpt":0.1981987706418505,"score_spread":0.181743454251077,"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."}}