{"id":"W4394622246","doi":"10.1212/wnl.0000000000204932","title":"Use of a Machine Learning Model to Predict Disability Progression in Patients with Relapsing Multiple Sclerosis Treated with Ozanimod (P6-6.006)","year":2024,"lang":"en","type":"article","venue":"Neurology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; NeuroRx Research (Canada)","funders":"","keywords":"Multiple sclerosis; Medicine; Physical therapy; Physical medicine and rehabilitation; 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":[0.001434817,0.0004335371,0.0005997164,0.000560192,0.0001863316,0.0005798137,0.0003206726,0.0004658943,0.001157729],"category_scores_gemma":[0.003021985,0.0000931972,0.0007736834,0.0002647702,0.0001055736,0.0003142398,0.0003093277,0.000701965,0.0003086051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005380574,"about_ca_system_score_gemma":0.0006212927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006247621,"about_ca_topic_score_gemma":0.004465299,"domain_scores_codex":[0.9996804,0.00015284,0.00003229524,0.00004938573,0.00005157517,0.00003346153],"domain_scores_gemma":[0.9989151,0.0006288337,0.0001421037,0.00004729334,0.0001727137,0.0000941242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01957143,0.003895774,0.6070681,0.0002796409,0.001583203,0.0003875013,0.0001603562,0.1079441,0.00588108,0.0004460791,0.004973738,0.2478089],"study_design_scores_gemma":[0.001151161,0.008451167,0.1898816,0.0001124891,0.000953008,0.0004226943,0.0001351229,0.7908121,0.004959174,0.000941716,0.002108947,0.0000707654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917554,0.0007918553,0.004504215,0.0006020384,0.00006627199,0.00006255339,0.0007448691,0.0001231154,0.001349647],"genre_scores_gemma":[0.9950662,0.000180911,0.003331307,0.00007328247,0.00002305368,0.00004092343,0.0007921858,0.000007340533,0.0004847514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006247621,"threshold_uncertainty_score":0.0124225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06508420434873186,"score_gpt":0.2982220957380431,"score_spread":0.2331378913893112,"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."}}