{"id":"W3158315920","doi":"10.2139/ssrn.2124044","title":"Regulatory Changes, Market Conditions and the Information Content of Insider Trades","year":2012,"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":"Memorial University of Newfoundland; Concordia University","funders":"","keywords":"Insider; Business; Content (measure theory); Insider trading; Accounting; Industrial organization; Finance; Political science; Law; Mathematics","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":[0.003402157,0.0001055898,0.0003256388,0.0017339,0.0005176947,0.004233933,0.0004162841,0.001332285,0.01091081],"category_scores_gemma":[0.03845845,0.0001891252,0.0002726746,0.001668307,0.001478206,0.003615173,0.0005704008,0.001045198,0.0009415815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001040073,"about_ca_system_score_gemma":0.0004839007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001380698,"about_ca_topic_score_gemma":0.001217979,"domain_scores_codex":[0.9984064,0.0004839759,0.0001687611,0.0002192721,0.0004950765,0.0002265022],"domain_scores_gemma":[0.9017715,0.06727815,0.02269757,0.003682559,0.003187864,0.001382329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004752626,0.001588092,0.6318277,0.0006062933,0.00036928,0.001624552,0.005353824,0.02051442,0.02576425,0.1358988,0.008725983,0.1629742],"study_design_scores_gemma":[0.0001172937,0.0004928337,0.9046884,0.0001878025,0.0001754373,0.0006182218,0.002202417,0.01007063,0.006542574,0.06447957,0.01032089,0.0001040072],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9639291,0.001341647,0.0009810335,0.001561218,0.00003313442,0.0000207237,0.0005459539,0.00003615329,0.03155114],"genre_scores_gemma":[0.998245,0.000287268,0.000105837,0.00007131005,0.00008360588,0.000003049669,0.0001497776,0.000009827548,0.001044351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01091081,"threshold_uncertainty_score":0.03650028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01521883859117227,"score_gpt":0.190594787098015,"score_spread":0.1753759485068428,"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."}}