{"id":"W2013481339","doi":"10.1212/wnl.0b013e318230a17d","title":"Age and disability accumulation in multiple sclerosis","year":2011,"lang":"en","type":"article","venue":"Neurology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":275,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung; University of Southampton; European Committee for Treatment and Research in Multiple Sclerosis; Multiple Sclerosis Society; Multiple Sclerosis Society of Canada; University of Oxford; UK Stem Cell Foundation; Imperial College London; Eli Lilly and Company; Fondazione Italiana Sclerosi Multipla; Medical Research Council; Universität Wien; Biogen; Sanofi","keywords":"Medicine; Age of onset; Multiple sclerosis; Logistic regression; Internal medicine; Proportional hazards model; Disease; Pediatrics; Young adult; Odds ratio; Expanded Disability Status Scale; Immunology","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":[0.0007144078,0.0002078944,0.0001611421,0.0005360068,0.0001940956,0.0003450041,0.0001915279,0.0002677058,0.001504848],"category_scores_gemma":[0.003549985,0.00007541134,0.0002423169,0.0004474049,0.0002471073,0.0003626428,0.0002973529,0.0002861684,0.0002224766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003919659,"about_ca_system_score_gemma":0.0003918998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006433218,"about_ca_topic_score_gemma":0.006607946,"domain_scores_codex":[0.9997944,0.0000569621,0.00002320957,0.00003379031,0.00005231445,0.00003928794],"domain_scores_gemma":[0.9968104,0.0005968269,0.001931487,0.00009684117,0.0002001949,0.0003642353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000242796,0.00001695926,0.996281,0.00001977942,0.00004554221,0.00008684579,0.00003963664,0.0001198481,0.0001561198,0.00002488976,0.00005950165,0.002907091],"study_design_scores_gemma":[0.000004547413,0.0001145708,0.999141,0.0000091786,0.00001785768,0.0002441138,0.00002363947,0.0001750369,0.00004363732,0.00005555289,0.0001688373,0.000002139896],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970896,0.001943689,0.0001084024,0.0001056869,0.000006642892,0.000004371798,0.0002828018,0.000005221256,0.0004536453],"genre_scores_gemma":[0.9994693,0.0002188924,0.00004205152,0.000006973404,0.00001110154,0.000001808882,0.0001140554,6.637143e-7,0.0001352739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006433218,"threshold_uncertainty_score":0.01279157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2799128015007771,"score_gpt":0.3518479238294026,"score_spread":0.07193512232862548,"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."}}