{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.004893564,0.001648853,0.00468805,0.0005094346,0.005905219,0.001693422,0.00211861,0.0006183256,0.00001319281],"category_scores_gemma":[0.0145529,0.0009882248,0.001422374,0.0007550869,0.0009303543,0.0005003277,0.001938173,0.002821179,0.0001632097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001817947,"about_ca_system_score_gemma":0.0007141013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001341188,"about_ca_topic_score_gemma":0.0001720466,"domain_scores_codex":[0.9903184,0.0008418878,0.002393618,0.001676352,0.002558982,0.002210789],"domain_scores_gemma":[0.9908259,0.002488418,0.001094195,0.002475095,0.001069423,0.002046986],"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":[0.0002034376,0.0002634019,0.06263429,0.004362669,0.001081962,0.000003156068,0.0004201567,0.000007840973,0.00004547044,0.000002143967,0.001879639,0.9290959],"study_design_scores_gemma":[0.002200317,0.0002505371,0.4840874,0.02646932,0.0006885525,0.0001062869,0.0002704659,0.0001676623,0.00002667379,0.000001255193,0.4846552,0.0010763],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01411341,0.9723422,0.0004895314,0.002578632,0.001554907,0.008113223,0.0002651774,0.0001903658,0.0003525813],"genre_scores_gemma":[0.03455292,0.9496972,0.01205151,0.0002001077,0.001350009,0.001510515,0.00002986838,0.0002596382,0.0003482425],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9280195,"threshold_uncertainty_score":0.9996259,"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."}}