{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001796893,0.00008418794,0.000207074,0.0000600118,0.00004121943,0.000003716205,0.000046405,0.00007902761,0.00009219118],"category_scores_gemma":[0.0006988933,0.00007219794,0.00002688031,0.0001081034,0.0003455339,0.00005233987,0.0001113509,0.000213768,0.00001405095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001549494,"about_ca_system_score_gemma":0.000007989089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009933225,"about_ca_topic_score_gemma":0.001650499,"domain_scores_codex":[0.9991031,0.0001141041,0.0001650431,0.0002769577,0.0001067219,0.0002340256],"domain_scores_gemma":[0.9994309,0.0002275594,0.00002396045,0.0002140483,0.0000250156,0.0000784994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007145418,0.0001721552,0.9793189,0.00002412651,0.000007922665,0.0000312245,0.0005023182,0.000001175214,0.008142374,0.00002192411,0.00003400476,0.01102929],"study_design_scores_gemma":[0.001451457,0.0004572243,0.9964358,0.000006639892,0.000006130057,0.000005047891,0.00001039768,0.0008407666,0.0004085161,0.00009193469,0.0002397889,0.00004629898],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975076,0.00004493487,0.00001108692,0.000897092,0.00005133061,0.0003410095,0.000002741698,0.00003524537,0.001108983],"genre_scores_gemma":[0.9990191,0.0001460434,0.0002941786,0.0004441203,0.00003434909,0.00003885095,0.000003618582,0.000009569369,0.00001016874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01711685,"threshold_uncertainty_score":0.2944146,"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."}}