{"id":"W2901016460","doi":"","title":"Securities Enforcement: An evaluation of recent legislative changes","year":2018,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Securities Regulation and Market Practices","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Ontario; Canadian Imperial Bank of Commerce; Autorité des Marchés Financiers; Valeant Pharmaceuticals International","keywords":"Enforcement; Legislature; Business; Computer security; Accounting; Political science; Computer science; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04197789,0.0003499794,0.0006212285,0.00844732,0.008230211,0.00807237,0.00318929,0.003267676,0.003626339],"category_scores_gemma":[0.1070668,0.0004941965,0.0009406538,0.01513201,0.005819566,0.002592725,0.001668917,0.003449199,0.0002661937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09354416,"about_ca_system_score_gemma":0.09421031,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.854753,"about_ca_topic_score_gemma":0.9239278,"domain_scores_codex":[0.9506877,0.005806966,0.002593239,0.002594068,0.03291677,0.005401224],"domain_scores_gemma":[0.8102602,0.05061796,0.01737723,0.004251888,0.1111941,0.006298644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009774818,0.001084737,0.2312021,0.004752871,0.0005779239,0.001244888,0.04929423,0.004941287,0.003148624,0.1330888,0.08447789,0.4852091],"study_design_scores_gemma":[0.00009108965,0.0006497797,0.6172682,0.002227788,0.0004920404,0.0002296018,0.02641865,0.001040395,0.00274411,0.001414111,0.3472712,0.0001529071],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5800932,0.05016271,0.001493091,0.1141188,0.00232591,0.0009964305,0.004087789,0.0002117014,0.2465103],"genre_scores_gemma":[0.9287825,0.02954244,0.001914824,0.01823838,0.001190629,0.0001750953,0.001735885,0.0000759979,0.01834428],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.854753,"threshold_uncertainty_score":0.6787136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0486808686315635,"score_gpt":0.2997936375040176,"score_spread":0.2511127688724541,"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."}}