{"id":"W2907026031","doi":"","title":"Do Insiders Exploit Anomalies","year":2018,"lang":"fr","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Insider trading; Exploit; Anomaly (physics); Insider; Stock (firearms); Trading strategy; Construct (python library); Anomaly detection; Business; Econometrics; Financial economics; Economics; Computer science; Geography; Finance; Data mining; Computer security; Physics; Political 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":[0.001787901,0.0001900174,0.0003445806,0.001240502,0.0001927328,0.001278292,0.0003763581,0.0006880174,0.002277619],"category_scores_gemma":[0.01636971,0.0002134791,0.0003009855,0.0009174222,0.0004795477,0.002057396,0.0006672464,0.0005315345,0.0005095095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000210825,"about_ca_system_score_gemma":0.0001447227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001299149,"about_ca_topic_score_gemma":0.001739661,"domain_scores_codex":[0.9991298,0.0002032622,0.00007876737,0.0001939636,0.0002766135,0.0001177248],"domain_scores_gemma":[0.9775095,0.007247045,0.01157121,0.002201614,0.0007965228,0.0006741749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009524888,0.00003910124,0.9700162,0.00003076987,0.0001299056,0.0001541715,0.0004832494,0.0008520221,0.0004890957,0.001548212,0.0008722205,0.02528973],"study_design_scores_gemma":[0.00001293766,0.0001114483,0.9803711,0.00005762204,0.0001024936,0.0005725228,0.001025455,0.005989722,0.001005955,0.00624754,0.004477708,0.00002554179],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947048,0.0006248931,0.000654813,0.0004232947,0.00002100545,0.000005078499,0.0002269634,0.00001538803,0.003323887],"genre_scores_gemma":[0.999051,0.0002391797,0.0001404723,0.0000531688,0.00004699739,0.000001648396,0.000160719,0.000003556738,0.0003032406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002277619,"threshold_uncertainty_score":0.009455442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02318675796017008,"score_gpt":0.2216045156371917,"score_spread":0.1984177576770216,"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."}}