{"id":"W2788594022","doi":"","title":"Insider Trading: Does Being a Neighbor of the SEC Matter?","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Risk Management in Financial Firms","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Insider trading; Earnings; Business; Sanctions; Profitability index; Commission; Insider; Accounting; Mergers and acquisitions; Monetary economics; Finance; Economics; Law","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":[0.001462297,0.0001462213,0.0004106968,0.0004195169,0.0009154314,0.001759209,0.0004796151,0.0005826803,0.004075821],"category_scores_gemma":[0.01298588,0.0001043023,0.0001663166,0.0005227739,0.001279874,0.001221604,0.0007234583,0.0007145028,0.0003897543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002740071,"about_ca_system_score_gemma":0.0003511226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006255379,"about_ca_topic_score_gemma":0.008336587,"domain_scores_codex":[0.9985253,0.0006588142,0.00008165766,0.0002778391,0.0002749724,0.0001814428],"domain_scores_gemma":[0.9804276,0.005725265,0.0097509,0.001055217,0.000996924,0.002044092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001337138,0.0001389432,0.9880806,0.00001819591,0.00007526726,0.0002018962,0.002969154,0.0001162083,0.0003940301,0.0005852915,0.0003667228,0.006919926],"study_design_scores_gemma":[0.000006186881,0.0001397462,0.9859386,0.00002241536,0.00005061048,0.0002677376,0.01124933,0.0006641453,0.0001785559,0.0005603478,0.0009137988,0.000008545562],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962291,0.00009757654,0.0002554918,0.0003572547,0.00001350406,0.000004755685,0.00003192062,0.000001568854,0.003008755],"genre_scores_gemma":[0.9995949,0.00003240443,0.0000748711,0.00004761431,0.0000101255,0.00000162092,0.00002508524,0.000001441728,0.000211995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006255379,"threshold_uncertainty_score":0.01363498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0114490388805009,"score_gpt":0.2065274422545779,"score_spread":0.195078403374077,"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."}}