{"id":"W2742808332","doi":"10.1177/1352458517723718","title":"The MSOAC approach to developing performance outcomes to measure and monitor multiple sclerosis disability","year":2017,"lang":"en","type":"review","venue":"Multiple Sclerosis Journal","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute of Neurological Disorders and Stroke; Medical Research Council; U.S. Food and Drug Administration; National Institute for Health and Care Research; National Multiple Sclerosis Society","keywords":"Clinical trial; Medicine; Multiple sclerosis; MEDLINE; Physical medicine and rehabilitation; Physical therapy; Medical physics; Psychiatry; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04704058,0.00162576,0.002819055,0.0152573,0.0006042666,0.003267904,0.002453217,0.001585432,0.004185204],"category_scores_gemma":[0.05308604,0.0005076358,0.003872691,0.01253981,0.001429648,0.002476232,0.002998973,0.003039596,0.001727658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003619357,"about_ca_system_score_gemma":0.01222752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004158952,"about_ca_topic_score_gemma":0.006859576,"domain_scores_codex":[0.9619157,0.02230551,0.006439109,0.001478353,0.007546598,0.0003146326],"domain_scores_gemma":[0.961071,0.02061966,0.00489112,0.002115039,0.01090301,0.0004001579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003305434,0.0001684339,0.005821905,0.07681475,0.002635369,0.00009518793,0.0008576241,0.001081821,0.001200211,0.07394876,0.02734159,0.8097038],"study_design_scores_gemma":[0.0002521675,0.0008988654,0.01658599,0.06804224,0.003811057,0.0005606022,0.0009653645,0.001563307,0.001909198,0.04200149,0.8632788,0.0001308203],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005380906,0.7632702,0.1446645,0.01372705,0.003125334,0.01139026,0.0108785,0.0006219404,0.04694137],"genre_scores_gemma":[0.06413396,0.490322,0.3896697,0.007609678,0.001412155,0.03050539,0.007813391,0.0001595634,0.008374264],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.04704058,"threshold_uncertainty_score":0.2487773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4498764407195988,"score_gpt":0.3983568965870318,"score_spread":0.05151954413256693,"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."}}