{"id":"W301587787","doi":"","title":"Enjeux et défis de la réglementation canadienne des valeurs mobilières","year":2003,"lang":"fr","type":"preprint","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Environmental Policies and Emissions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Concurrence; Philosophy; Physics","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":[],"category_scores_codex":[0.0008962571,0.0005700617,0.0005985365,0.000100292,0.0010599,0.0001228799,0.001215974,0.0004045765,0.001384152],"category_scores_gemma":[0.0001140056,0.0006641572,0.0001587907,0.000143146,0.002664159,0.0009051926,0.00274991,0.0005116723,0.00004101656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002392004,"about_ca_system_score_gemma":0.0001466892,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5537146,"about_ca_topic_score_gemma":0.1557044,"domain_scores_codex":[0.9959721,0.0009004067,0.0005678543,0.001314303,0.0004539512,0.0007913812],"domain_scores_gemma":[0.9965383,0.0004230915,0.0006793131,0.001571279,0.000028908,0.0007591509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004631796,0.002878094,0.6076675,0.001272489,0.00204787,0.001800661,0.008698342,0.01614095,0.03330025,0.003837561,0.2561845,0.06570865],"study_design_scores_gemma":[0.001682711,0.0002202835,0.5890521,0.0005072434,0.0009589433,0.0002853848,0.004113675,0.0005108533,0.0008346692,0.001748743,0.3992022,0.0008831792],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9642365,0.002357678,0.0004744377,0.001405691,0.0004618969,0.0006642841,0.002618129,0.00004118814,0.02774022],"genre_scores_gemma":[0.9285417,0.04071476,0.005091102,0.0002377099,0.00008077245,0.00000518342,0.001120363,0.00005790406,0.02415046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3980101,"threshold_uncertainty_score":0.999581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01470492557881047,"score_gpt":0.2439787601523618,"score_spread":0.2292738345735514,"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."}}