{"id":"W4410014768","doi":"10.1016/j.pmedr.2025.103093","title":"Characteristics of persons with multiple sclerosis covered by public drug insurance in a Quebec Birth Cohort","year":2025,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Université de Montréal; Institut National de la Recherche Scientifique","funders":"Canadian Institutes of Health Research; Ministère de l'Éducation, du Loisir et du Sport Québec; Mitacs; Fonds de Recherche du Québec - Santé; Multiple Sclerosis Society of Canada; Canadian Cancer Society; Canada Foundation for Innovation","keywords":"Medicine; Cohort; Multiple sclerosis; Drug; Public health insurance; Cohort study; Public health; Health insurance; Family medicine; Environmental health; Demography; Psychiatry; Internal medicine; Political science; Health care; Nursing; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004574132,0.0002711634,0.0003136093,0.001322314,0.001111591,0.000738023,0.0006603452,0.0004733907,0.002972638],"category_scores_gemma":[0.001354993,0.0002547345,0.0005017488,0.002143393,0.0003930336,0.0004815593,0.0004425596,0.0005362107,0.0002687333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005138461,"about_ca_system_score_gemma":0.002903583,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9184948,"about_ca_topic_score_gemma":0.8975266,"domain_scores_codex":[0.9995263,0.00004174078,0.00003218475,0.00009506832,0.0001478531,0.0001569423],"domain_scores_gemma":[0.9988137,0.00008353857,0.0004324286,0.00004909883,0.0003304147,0.0002908045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000311536,0.00002246245,0.9983909,0.000009512271,0.00004306233,0.00005390785,0.0001271489,0.00005596252,0.00009057239,0.00001599703,0.0004609156,0.0006983467],"study_design_scores_gemma":[0.000002355319,0.00001276488,0.9995359,0.000008482379,0.00000777289,0.000029384,0.0001506451,0.00009811353,0.000008257463,0.000003367043,0.000140235,0.000002763177],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915121,0.0003734882,0.00007484603,0.0001795763,0.00001104374,0.0000368335,0.00665789,0.00001055625,0.001143728],"genre_scores_gemma":[0.9970349,0.0001439105,0.00004280066,0.00005018313,0.000004841565,0.00001682002,0.002253892,0.000002150364,0.0004504738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08150524,"threshold_uncertainty_score":0.1639704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02798685300122849,"score_gpt":0.2866864419692076,"score_spread":0.2586995889679791,"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."}}