{"id":"W2991623378","doi":"10.1177/1352458519892555","title":"Leveraging real-world data to investigate multiple sclerosis disease behavior, prognosis, and treatment","year":2019,"lang":"en","type":"review","venue":"Multiple Sclerosis Journal","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"European Committee for Treatment and Research in Multiple Sclerosis; National Multiple Sclerosis Society","keywords":"Observational study; Standardization; Real world data; Clinical trial; Harmonization; Disease; Multiple sclerosis; Medicine; MEDLINE; Randomized controlled trial; Data science; Scope (computer science); Medical physics; Computer science; Pathology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02744892,0.001261815,0.006643158,0.009186204,0.0004115416,0.003227128,0.002076049,0.002252046,0.003169972],"category_scores_gemma":[0.07858767,0.0006274637,0.004221114,0.009339032,0.001278873,0.002906369,0.001332894,0.002496286,0.0006063311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001961051,"about_ca_system_score_gemma":0.007468833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003429324,"about_ca_topic_score_gemma":0.006344177,"domain_scores_codex":[0.9840534,0.007833431,0.004087091,0.001144084,0.002669544,0.0002123027],"domain_scores_gemma":[0.8463429,0.1373352,0.008085917,0.002311179,0.005512796,0.0004119829],"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":[0.0001975319,0.00008304699,0.001884545,0.3570937,0.007039878,0.00007291671,0.0001747932,0.0005070706,0.000255226,0.004207953,0.006840961,0.6216423],"study_design_scores_gemma":[0.0003115231,0.0004901203,0.01183152,0.5785174,0.02516755,0.0007172232,0.0005980977,0.0004633197,0.0006128197,0.01191566,0.3692212,0.0001535506],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000127751,0.9983478,0.0003188159,0.0005340832,0.0001406634,0.00006471828,0.000160228,0.000005538798,0.0003004364],"genre_scores_gemma":[0.002674092,0.9946051,0.001455778,0.0006140676,0.0002073465,0.0001752416,0.0001984152,0.00000393834,0.00006607601],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02744892,"threshold_uncertainty_score":0.1451655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5877955149699188,"score_gpt":0.4225676752915705,"score_spread":0.1652278396783483,"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."}}