{"id":"W4254449098","doi":"10.1002/1531-8249(200012)48:6<927::aid-ana14>3.3.co;2-6","title":"Conjugal multiple sclerosis: Population‐based prevalence and recurrence risks in offspring","year":2000,"lang":"en","type":"article","venue":"Annals of Neurology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôpital Notre-Dame; Université de Montréal; University of British Columbia","funders":"","keywords":"Offspring; Concordance; Proband; Demography; Population; Sampling bias; Multiple sclerosis; Medicine; Prevalence; Biology; Psychiatry; Internal medicine; Genetics; Pregnancy; Sample size determination; Statistics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005111575,0.0001940425,0.0003220144,0.001341875,0.0006687552,0.0005853036,0.0003959555,0.0003236684,0.001266536],"category_scores_gemma":[0.002479632,0.0002695084,0.0003198671,0.001134826,0.0003084122,0.0002495652,0.0004018482,0.0003268936,0.0001743855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007014902,"about_ca_system_score_gemma":0.0004794736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1445608,"about_ca_topic_score_gemma":0.1194832,"domain_scores_codex":[0.9995504,0.00007346508,0.00002978367,0.0001163022,0.0001559416,0.00007408387],"domain_scores_gemma":[0.9993811,0.00008438672,0.0002098454,0.00009629227,0.0001319145,0.00009652083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003190578,0.000007259367,0.998037,0.00000282986,0.00003729832,0.0001089191,0.000234819,0.0000234917,0.0001397812,0.00001483199,0.00005315274,0.001308621],"study_design_scores_gemma":[0.000002226405,0.00001897814,0.9993051,0.000002580164,0.00001552381,0.0003074699,0.0001210379,0.00007174156,0.00003183609,0.000009838998,0.0001104196,0.000003209085],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999254,0.000167366,0.00007319298,0.00001748791,0.000001731445,0.000004614589,0.0001873644,0.000002994334,0.0002911176],"genre_scores_gemma":[0.9993528,0.0001672669,0.00007939809,0.000007605265,0.000003402323,0.00000425501,0.0002364652,0.000001729132,0.0001471349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1445608,"threshold_uncertainty_score":0.2874386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.245324329932249,"score_gpt":0.3880732097439572,"score_spread":0.1427488798117082,"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."}}