{"id":"W4390837701","doi":"10.1016/j.msard.2024.105434","title":"Predicting time to serologic diagnosis of AQP4+ NMOSD based on clinical factors and social determinants of health","year":2024,"lang":"en","type":"article","venue":"Multiple Sclerosis and Related Disorders","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; University of Alberta; London Health Sciences Centre; University of Calgary; Ottawa Hospital; Health Sciences Centre; St. Michael's Hospital; Sunnybrook Health Science Centre; University of Manitoba; University of Ottawa; University of Toronto; Western University","funders":"European Genomic Institute for Diabetes; Roche Canada","keywords":"Medicine; Serology; Neuromyelitis optica; Cohort; Ethnic group; Pediatrics; Cohort study; Spectrum disorder; Internal medicine; Demography; Multiple sclerosis; Antibody; Immunology; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008182871,0.000303317,0.0002492344,0.0006665422,0.000484307,0.0006629195,0.0002902029,0.0006368048,0.003069698],"category_scores_gemma":[0.003854355,0.000199661,0.0007063944,0.0006659247,0.0002979394,0.0006408341,0.0003963169,0.0008659163,0.0002949116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003316091,"about_ca_system_score_gemma":0.0007002432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01137376,"about_ca_topic_score_gemma":0.009747885,"domain_scores_codex":[0.9995389,0.0001851141,0.00003473512,0.00005763729,0.00004656739,0.0001369675],"domain_scores_gemma":[0.9971474,0.001087705,0.000806505,0.0001123786,0.0002125903,0.0006334265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007363614,0.00003413092,0.9993585,0.000001701463,0.00002198645,0.00001849382,0.00001332138,0.00003678338,0.00002968902,0.00001107626,0.00003694975,0.0003637941],"study_design_scores_gemma":[0.000005385224,0.0001211023,0.998713,0.000005170289,0.00003385363,0.00009161584,0.0001659354,0.0006846358,0.00003839574,0.00004909003,0.00008872068,0.000003050959],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986174,0.0001532409,0.00007824419,0.0001205062,0.00001808489,0.000003846839,0.0001819258,0.000003613605,0.0008231728],"genre_scores_gemma":[0.999639,0.00004181721,0.00004288214,0.00001569442,0.00001572167,0.00000183807,0.000114303,8.974087e-7,0.0001277286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01137376,"threshold_uncertainty_score":0.02261513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09374377842453142,"score_gpt":0.3560968428491834,"score_spread":0.262353064424652,"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."}}