{"id":"W7019870062","doi":"","title":"Insider Trading Regulation in Canada","year":2015,"lang":"ja","type":"other","venue":"Terrestrial Environment Research Center (University of Tsukuba)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Insider trading; Alternative trading system; High-frequency trading; Government (linguistics)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003159668,0.0007432078,0.001302073,0.002190415,0.0002797116,0.00005588145,0.001709479,0.000622939,0.02560206],"category_scores_gemma":[0.0001929766,0.001011537,0.0002436035,0.0009746208,0.001188816,0.0004892753,0.001320261,0.001934492,0.002508922],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0215657,"about_ca_system_score_gemma":0.005088549,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9530846,"about_ca_topic_score_gemma":0.9701446,"domain_scores_codex":[0.9881595,0.002733787,0.0007125036,0.001520399,0.005055696,0.001818132],"domain_scores_gemma":[0.9965198,0.0003031371,0.0007448574,0.001476618,0.00006667072,0.0008888835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004185667,0.001253918,0.02047542,0.0002563077,0.0005823338,0.001373705,0.003422835,0.001032073,0.001900804,0.00004286589,0.9609696,0.004504435],"study_design_scores_gemma":[0.01448796,0.0003907861,0.03402961,0.001331101,0.00011669,0.00001197906,0.008230112,0.0052595,0.00006485062,0.0001176101,0.9348909,0.001068948],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5647407,0.001480792,0.00009619871,0.002928257,0.00233725,0.008803043,0.004653649,0.0001278818,0.4148322],"genre_scores_gemma":[0.8723571,0.0007868506,0.0003472915,0.00001309169,0.0005204444,0.0000024808,0.001214573,0.0005137056,0.1242445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3076163,"threshold_uncertainty_score":0.9992335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07666974846675942,"score_gpt":0.2616070488413257,"score_spread":0.1849373003745663,"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."}}