{"id":"W3000974005","doi":"10.1177/1352458519881558","title":"A roadmap to precision medicine for multiple sclerosis","year":2020,"lang":"en","type":"review","venue":"Multiple Sclerosis Journal","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"U.S. Department of Defense","keywords":"Multiple sclerosis; Precision medicine; Disease; Medicine; Clinical phenotype; Intensive care medicine; MEDLINE; Phenotype; Pathology; Psychiatry; Biology","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":[0.005472546,0.001110655,0.002187595,0.004387331,0.0005762851,0.002662134,0.001455182,0.003383762,0.01005738],"category_scores_gemma":[0.006961175,0.0003484273,0.001890381,0.003789844,0.001292574,0.004451889,0.001813159,0.005415821,0.003987344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00225067,"about_ca_system_score_gemma":0.005416848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001804681,"about_ca_topic_score_gemma":0.002436942,"domain_scores_codex":[0.9979702,0.0008186682,0.000258662,0.0001889813,0.0006429914,0.0001205362],"domain_scores_gemma":[0.9908233,0.006510038,0.0005242319,0.0002158933,0.001612143,0.0003144805],"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":[0.00007585714,0.00008277565,0.0001482395,0.02975229,0.0001967142,0.0001660778,0.0001431557,0.0003051505,0.0007840066,0.01861828,0.0541301,0.8955973],"study_design_scores_gemma":[0.0000231136,0.0000806221,0.0004404255,0.01526282,0.0001745015,0.0005543697,0.0001102891,0.00009772753,0.0001837037,0.01094711,0.9720998,0.00002534244],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005125359,0.9942377,0.0005310522,0.003217383,0.0005714047,0.00001228316,0.00002895267,0.00002587719,0.001324088],"genre_scores_gemma":[0.0006745041,0.995197,0.001337017,0.001674064,0.000570399,0.000018897,0.00004473673,0.000005520749,0.0004779004],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01005738,"threshold_uncertainty_score":0.03364533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.382301072029657,"score_gpt":0.4081565931579105,"score_spread":0.02585552112825351,"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."}}