{"id":"W7001624361","doi":"","title":"Les opÃ©rations scrutÃ©es sous l'angle de l'intÃ©rÃªt public par les organismes de rÃ©glementation des valeurs mobiliÃ¨res : entre efficience et duplicitÃ©","year":2008,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vulnerability (computing); Pilotage; Criminal liability; Decantation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001679399,0.0005859673,0.0004336975,0.0008610216,0.002317984,0.009445365,0.0009703994,0.003231987,0.02914723],"category_scores_gemma":[0.003513125,0.0003679665,0.001077274,0.000905143,0.004859269,0.006142542,0.003332128,0.00391453,0.00627011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00336058,"about_ca_system_score_gemma":0.00524264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004857611,"about_ca_topic_score_gemma":0.00733326,"domain_scores_codex":[0.9971813,0.0006399588,0.000112945,0.0004857428,0.001170678,0.0004093965],"domain_scores_gemma":[0.997825,0.0005800045,0.0004243764,0.0004632572,0.0004886275,0.0002186835],"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":[0.0002227783,0.0001560418,0.002123485,0.0007403712,0.00004982375,0.0004982803,0.005252244,0.001046729,0.01569045,0.8751184,0.01995845,0.07914297],"study_design_scores_gemma":[0.00003801835,0.000252664,0.004664828,0.000509585,0.00007659621,0.0005190342,0.002806883,0.0008295752,0.01418631,0.07257762,0.9034792,0.00005973824],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.09612843,0.01330345,0.04214603,0.03439971,0.002581864,0.0002165627,0.0005680383,0.0005104192,0.8101454],"genre_scores_gemma":[0.5762753,0.009965379,0.01372745,0.007317562,0.0009980077,0.0002981173,0.000316876,0.0002857909,0.3908154],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02914723,"threshold_uncertainty_score":0.09750724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005149604060940892,"score_gpt":0.1814009745273046,"score_spread":0.1762513704663637,"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."}}