{"id":"W3019166176","doi":"10.1017/cjn.2020.76","title":"Navigating the TOR of Multiple Sclerosis","year":2020,"lang":"fr","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Multiple sclerosis; Content (measure theory); Action (physics); Computer science; Medicine; Mathematics; Immunology; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001520841,0.0004146771,0.0004261425,0.003703936,0.001255149,0.003259046,0.0007307498,0.000981105,0.03325941],"category_scores_gemma":[0.01426878,0.0002443302,0.0004919356,0.002224656,0.0002926189,0.00323259,0.003465243,0.0006512676,0.006053903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007601333,"about_ca_system_score_gemma":0.002210236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0176455,"about_ca_topic_score_gemma":0.04567311,"domain_scores_codex":[0.9990005,0.0004507932,0.0001143508,0.0001460447,0.0002196905,0.00006858116],"domain_scores_gemma":[0.9956408,0.003063972,0.0002904696,0.0001746297,0.0004500087,0.0003802674],"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":[0.0003614924,0.000226976,0.05193773,0.001968587,0.0001147988,0.001244815,0.009800773,0.002147601,0.001275792,0.01491387,0.2357143,0.6802933],"study_design_scores_gemma":[0.00008543524,0.0002548762,0.02655691,0.003455646,0.0002085241,0.00187989,0.01496197,0.008995962,0.001652733,0.04571382,0.8961226,0.000111711],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3030786,0.03384069,0.1298889,0.04276864,0.001744611,0.001410704,0.09805124,0.02129251,0.3679241],"genre_scores_gemma":[0.6002201,0.02365605,0.2521386,0.004225515,0.0005740389,0.0009954005,0.05260055,0.001856685,0.0637331],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03325941,"threshold_uncertainty_score":0.1112639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1469543283953702,"score_gpt":0.3282166470655506,"score_spread":0.1812623186701804,"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."}}