{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008011863,0.0002896277,0.0005233681,0.0002151311,0.0001343409,0.0001862008,0.0005826227,0.0001150599,0.0001959876],"category_scores_gemma":[0.00003754919,0.0002583484,0.0001807708,0.0009348403,0.00004907962,0.001044148,0.0001074798,0.0005231876,0.001330481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005248679,"about_ca_system_score_gemma":0.0001141372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002137265,"about_ca_topic_score_gemma":0.000006146377,"domain_scores_codex":[0.9979908,0.000007031937,0.0007107186,0.0003388858,0.0005075761,0.0004450082],"domain_scores_gemma":[0.9942572,0.00003173901,0.004871748,0.0004351636,0.0003849194,0.00001920449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002303028,0.0009292094,0.4837874,0.000500195,0.0002142073,0.0004491491,0.0002332487,0.01442236,0.01059272,0.2966058,0.1620932,0.02786948],"study_design_scores_gemma":[0.004943998,0.0001014593,0.3013683,0.0003038756,0.0001306357,0.00003119458,0.0002011616,0.001012705,0.001088414,0.03900317,0.6510078,0.0008072191],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787253,0.000204023,0.0005419031,0.0002810955,0.001112725,0.0002601762,0.00001384807,0.00003349654,0.01882743],"genre_scores_gemma":[0.9960337,0.0002974344,0.0004821272,0.0009655022,0.001206006,0.000006470102,0.000004084477,0.0000444796,0.0009601657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4889147,"threshold_uncertainty_score":0.9999869,"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."}}