{"id":"W7003707","doi":"","title":"Information, Privilege, Opportunity, and Insider Trading","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Securities Regulation and Market Practices","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Insider trading; Business; Legislation; Insider; Privilege (computing); Confidentiality; Inside information; Alternative trading system; Value (mathematics); Law and economics; Law; Algorithmic trading; Finance; Economics; Political science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001183558,0.0000968969,0.0000899113,0.0002338577,0.000268295,0.000295303,0.0001190949,0.00004056482,0.0005659714],"category_scores_gemma":[0.0001767391,0.00008727916,0.00003438568,0.0001408873,0.00003388778,0.006419629,0.00006229315,0.0005107205,0.00003580234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000648091,"about_ca_system_score_gemma":0.0002444776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001200362,"about_ca_topic_score_gemma":0.0002377058,"domain_scores_codex":[0.9987905,0.00001234196,0.0002272743,0.00005806653,0.0001558776,0.0007559546],"domain_scores_gemma":[0.9995146,0.00001987887,0.0002635931,0.00007285392,0.0001073265,0.00002168305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000409135,0.00002553242,0.007322656,0.00002431513,0.0000547037,0.000001530003,0.0004250788,2.204042e-7,0.000005566245,0.9424363,0.001342524,0.04832068],"study_design_scores_gemma":[0.000861507,0.0000329361,0.02000828,0.00002294291,0.00007577537,0.0003609281,0.01208285,0.0005684704,0.000007082298,0.6579412,0.3077523,0.0002858098],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6165816,0.0007332995,0.004703965,0.002119606,0.0005868739,0.0002148258,5.98025e-7,0.0001353084,0.3749239],"genre_scores_gemma":[0.9966553,0.0006344694,0.00006710076,0.001873592,0.0003773317,0.000002380122,0.000004507221,0.000009519955,0.0003758145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3800737,"threshold_uncertainty_score":0.619699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0248911266657199,"score_gpt":0.2203589376474777,"score_spread":0.1954678109817578,"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."}}