{"id":"W2513204290","doi":"10.2139/ssrn.2103523","title":"Corporate Governance and Insider Trading","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Corporate governance; Insider trading; Business; Accounting; Finance","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":[0.0009055306,0.000116546,0.000192102,0.0005219834,0.0005993071,0.004315536,0.0001512581,0.001287145,0.006230317],"category_scores_gemma":[0.003955926,0.0001018622,0.0001217081,0.0009277248,0.001785466,0.00254992,0.0006044247,0.001014222,0.0003734049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000777526,"about_ca_system_score_gemma":0.0006311499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002232112,"about_ca_topic_score_gemma":0.003553174,"domain_scores_codex":[0.9996256,0.0001945544,0.00001375813,0.00004701388,0.00005281488,0.00006629628],"domain_scores_gemma":[0.9957196,0.00243204,0.001105207,0.000204322,0.0002147278,0.0003240788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00008503458,0.0001297874,0.03603068,0.00006108827,0.00003111704,0.000328519,0.001763672,0.001796612,0.0003678667,0.9248676,0.004609145,0.02992891],"study_design_scores_gemma":[0.00003315667,0.00006688334,0.08817349,0.0001330465,0.00003977769,0.0002107569,0.002376436,0.003342531,0.0002338205,0.8786052,0.02676491,0.00001989972],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6702749,0.02342499,0.004429887,0.0208056,0.0002254621,0.00001755169,0.000140634,0.00003788186,0.280643],"genre_scores_gemma":[0.9911425,0.001776718,0.0001234271,0.0001993294,0.0001137492,0.000002526767,0.00001747592,0.000003566317,0.006620634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006230317,"threshold_uncertainty_score":0.02084249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01244226785792755,"score_gpt":0.2009926012593364,"score_spread":0.1885503334014088,"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."}}