{"id":"W2945659957","doi":"10.1111/jacf.12332","title":"Do Large Blockholders Reduce Risk?","year":2019,"lang":"en","type":"article","venue":"Journal of applied corporate finance","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Social Sciences and Humanities Research Council","funders":"","keywords":"Shareholder; Incentive; Profitability index; Business; Portfolio; Capital asset pricing model; Systematic risk; Profit margin; Leverage (statistics); Monetary economics; Profit (economics); Economics; Finance; Microeconomics; Corporate governance","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":[0.001849876,0.0001853167,0.0003469794,0.0003131545,0.0003722509,0.001290222,0.0004054087,0.001052336,0.009037896],"category_scores_gemma":[0.01131547,0.0001409929,0.0002250131,0.0001877532,0.0008373847,0.002088155,0.0006932489,0.0007546509,0.001108652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003581897,"about_ca_system_score_gemma":0.0005583517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00108892,"about_ca_topic_score_gemma":0.001461379,"domain_scores_codex":[0.9994028,0.0002240406,0.00001896353,0.00008197734,0.0001487455,0.0001235013],"domain_scores_gemma":[0.9943579,0.002208503,0.002082098,0.0004229205,0.0002715485,0.0006570582],"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":[0.001939764,0.002014511,0.3664725,0.0005250103,0.0004282117,0.001382374,0.006209419,0.002062539,0.01174174,0.09726384,0.01706291,0.4928972],"study_design_scores_gemma":[0.0009910425,0.004048292,0.5493792,0.0006975485,0.00055173,0.002595182,0.007430817,0.007211294,0.01104894,0.2438354,0.1720805,0.0001301209],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9201661,0.007762458,0.006794974,0.01973817,0.0002945949,0.00009985011,0.0001745339,0.00006501456,0.04490419],"genre_scores_gemma":[0.9870332,0.002082853,0.0008956253,0.001587507,0.0002567991,0.00002039373,0.00004305626,0.00001125938,0.008069305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009037896,"threshold_uncertainty_score":0.03023475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01765590106607964,"score_gpt":0.2013263134299695,"score_spread":0.1836704123638898,"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."}}