{"id":"W3123385129","doi":"","title":"Insider Trading and Voluntary Disclosure","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Insider trading; Market liquidity; Business; Asset (computer security); Order (exchange); Insider; Monetary economics; Information asymmetry; Financial economics; Finance; Economics; Computer security; Computer science","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":[0.002998598,0.0007851578,0.001360065,0.0006397411,0.0009845556,0.003700352,0.00209256,0.00501275,0.005848957],"category_scores_gemma":[0.01225917,0.0005772004,0.0009154964,0.0007978969,0.002419796,0.004551529,0.001569413,0.002236302,0.0005689551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001397473,"about_ca_system_score_gemma":0.001173069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002475957,"about_ca_topic_score_gemma":0.001366386,"domain_scores_codex":[0.9974239,0.001065745,0.0001105356,0.0003944289,0.000437555,0.0005678552],"domain_scores_gemma":[0.9866398,0.007483001,0.003517475,0.001200633,0.0004835941,0.0006754261],"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":[0.0004099183,0.0003784245,0.007723353,0.0001882059,0.0001118075,0.00221854,0.0008960533,0.1225646,0.00346927,0.8449948,0.002911594,0.0141334],"study_design_scores_gemma":[0.0003143137,0.0002435209,0.002820209,0.00008801583,0.00007339593,0.000877738,0.0004079345,0.4514248,0.001102938,0.5372272,0.005324479,0.00009547643],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7004414,0.002425652,0.2155282,0.01059258,0.0001919695,0.0002782006,0.0008869023,0.0002782628,0.06937695],"genre_scores_gemma":[0.988976,0.0003141463,0.003597128,0.0001787206,0.00008609021,0.00006303951,0.00006749183,0.000008861964,0.006708554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005848957,"threshold_uncertainty_score":0.01956666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01323970909343729,"score_gpt":0.1976174714841544,"score_spread":0.1843777623907171,"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."}}