{"id":"W2743046276","doi":"10.1212/wnl.0000000000004330","title":"Anti-inflammatory disease-modifying treatment and short-term disability progression in SPMS","year":2017,"lang":"en","type":"article","venue":"Neurology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Cliniques Universitaires Saint-Luc; National Health and Medical Research Council; Canadian Institutes of Health Research; Novartis Pharma; Associazione Italiana Sclerosi Multipla; Università di Bologna; Università degli Studi di Parma; Karadeniz Teknik Üniversitesi; Università Degli Studi di Modena e Reggio Emila; Multiple Sclerosis Society of Canada; Univerzita Karlova v Praze; Sanofi; Teva Pharmaceutical Industries; Fondazione Italiana Sclerosi Multipla; Medical Research Council; Biogen","keywords":"Medicine; Hazard ratio; Expanded Disability Status Scale; Confidence interval; Internal medicine; Propensity score matching; Quartile; Proportional hazards model; Multiple sclerosis; Physical therapy; Immunology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001510119,0.000140724,0.0003186085,0.00004376101,0.0002330106,0.00002700974,0.00009718044,0.0000667066,0.00001606109],"category_scores_gemma":[0.0003782577,0.0001010667,0.00004798283,0.00001891958,0.0006704842,0.00007746589,0.0002228464,0.0001763186,0.000005600821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004379032,"about_ca_system_score_gemma":0.00003394881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006038666,"about_ca_topic_score_gemma":0.0002057703,"domain_scores_codex":[0.9988425,0.00009978322,0.0001736438,0.00041274,0.0001444505,0.000326897],"domain_scores_gemma":[0.9990072,0.0001072717,0.00004436994,0.0006177251,0.00002315942,0.0002002656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007164394,0.000251457,0.9356491,0.00008293861,0.00001622499,0.0002876615,0.00008185877,8.243587e-7,0.004633948,0.00000823837,0.000009472269,0.05826184],"study_design_scores_gemma":[0.001480649,0.000609668,0.996567,0.00003723592,0.00001947396,0.000009828742,0.000003967211,0.0004654401,0.0002514429,0.00001509901,0.0004742146,0.00006596391],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936398,0.0002660617,0.000001226612,0.00504722,0.00009501274,0.0006817929,0.000005869604,0.00003313211,0.0002299392],"genre_scores_gemma":[0.9988878,0.0007521129,0.00002233244,0.00006740388,0.0001178287,0.0001176661,0.000004824854,0.00001312825,0.00001683803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06091792,"threshold_uncertainty_score":0.4121382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07835493821381392,"score_gpt":0.3929326252423263,"score_spread":0.3145776870285124,"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."}}