{"id":"W2980722980","doi":"10.1177/1352458519877810","title":"The long-term outcomes of CIS patients in the Barcelona inception cohort: Looking back to recognize aggressive MS","year":2019,"lang":"en","type":"article","venue":"Multiple Sclerosis Journal","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"Instituto de Salud Carlos III; Siemens; Agència de Gestió d'Ajuts Universitaris i de Recerca; European Committee for Treatment and Research in Multiple Sclerosis; Oryzon Genomics; Teva Pharmaceutical Industries; Red Española de Esclerosis Múltiple; Biogen; Celgene; European Regional Development Fund; Sanofi; F. Hoffmann-La Roche; Genzyme","keywords":"Medicine; Interquartile range; Hazard ratio; Multiple sclerosis; Expanded Disability Status Scale; Cohort; Confidence interval; Internal medicine; Magnetic resonance imaging; Natural history; McDonald criteria; Lesion; Proportional hazards model; Cohort study; Surgery; Radiology; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002014205,0.0003160565,0.000666155,0.0002889188,0.000451921,0.0001663047,0.0006611786,0.0001140656,0.0003600285],"category_scores_gemma":[0.003210358,0.0001687695,0.0003158771,0.0005328449,0.0002116993,0.0002301215,0.0003028129,0.0008695195,0.0002723433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003008081,"about_ca_system_score_gemma":0.0000908603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002001,"about_ca_topic_score_gemma":0.000526922,"domain_scores_codex":[0.9957673,0.0004840617,0.0009770625,0.0003882815,0.001637433,0.0007458733],"domain_scores_gemma":[0.9964815,0.001268032,0.0006535309,0.0006389882,0.0007154195,0.0002425724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004661681,0.0003051373,0.9360815,0.00004620782,0.0002041783,0.000005931004,0.001718126,0.0000372245,0.004718173,9.669898e-7,0.0009946314,0.05542173],"study_design_scores_gemma":[0.004970735,0.0004691218,0.9914785,0.001065877,0.00004813976,0.00001275529,0.0005772296,0.000139434,0.000894321,0.00000601087,0.0001561752,0.0001816965],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949037,0.0002717389,0.00005377053,0.001748232,0.0005070766,0.002035573,0.00002747198,0.00001340606,0.0004390758],"genre_scores_gemma":[0.9962541,0.002394675,0.0003636771,0.0004695394,0.0001774124,0.00007947924,0.00001612359,0.00004004342,0.000204899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05539698,"threshold_uncertainty_score":0.6882221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06686895839198086,"score_gpt":0.3156078835011771,"score_spread":0.2487389251091963,"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."}}