{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00173485,0.001996308,0.005287288,0.001995374,0.001206161,0.001008953,0.001656881,0.0003385166,0.0001770413],"category_scores_gemma":[0.002875948,0.00154314,0.001249753,0.001647287,0.000654729,0.0006991294,0.00261822,0.001969509,0.000370601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001938747,"about_ca_system_score_gemma":0.001769033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001234411,"about_ca_topic_score_gemma":0.001211966,"domain_scores_codex":[0.9895806,0.0009278146,0.002485359,0.002755404,0.002069826,0.002180994],"domain_scores_gemma":[0.9890726,0.001562726,0.001280906,0.003318612,0.0005517649,0.004213356],"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":[0.0002743167,0.0009936105,0.1033488,0.004917877,0.001445585,0.0001400601,0.0002881046,0.000006763431,0.0002023264,0.000001117742,0.006678625,0.8817028],"study_design_scores_gemma":[0.005333489,0.000696326,0.3079837,0.05287477,0.006955455,0.0001101822,0.0001235445,0.0005343572,0.00003300557,8.886157e-7,0.6238101,0.001544196],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01506589,0.9710877,0.0000249793,0.001028428,0.0009191127,0.009094268,0.002380959,0.0002822841,0.000116369],"genre_scores_gemma":[0.009845318,0.9786885,0.005514094,0.0002560897,0.001490734,0.001695303,0.001177412,0.000468188,0.0008643889],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8801586,"threshold_uncertainty_score":0.9992779,"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."}}