{"id":"W3041907986","doi":"10.1101/2020.07.09.20149674","title":"Accurate classification of secondary progression in multiple sclerosis","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia Hospital","funders":"Canadian Institutes of Health Research; Vetenskapsrådet","keywords":"Medicine; Concordance; Expanded Disability Status Scale; Cohort; Multiple sclerosis; Clinical phenotype; Disease; Medical record; Phenotype; Retrospective cohort study; Medical history; Internal medicine; Oncology; Immunology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.003406419,0.0005363807,0.0008337526,0.002727604,0.0004513889,0.001310621,0.000619546,0.000715955,0.00088338],"category_scores_gemma":[0.0100012,0.0001799588,0.0005585423,0.0008006304,0.0002080937,0.000575789,0.0006204185,0.000700797,0.0008778141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006241097,"about_ca_system_score_gemma":0.0006737871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00782425,"about_ca_topic_score_gemma":0.008085962,"domain_scores_codex":[0.9982356,0.0004716065,0.0002012374,0.0003535316,0.0005548225,0.00018321],"domain_scores_gemma":[0.9941719,0.001938215,0.0006788344,0.0004621637,0.002498603,0.0002501837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001074656,0.0002316346,0.8368433,0.0001753661,0.0003116065,0.0003779535,0.0001827966,0.01075999,0.007632202,0.0002595095,0.005657668,0.1364933],"study_design_scores_gemma":[0.0001040634,0.0004413901,0.6901509,0.0001632799,0.0002832418,0.001625483,0.0002415597,0.2926535,0.009165615,0.001731788,0.003370417,0.00006874148],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9668035,0.001431803,0.02498524,0.0002700491,0.0001399742,0.0001751483,0.003251666,0.0007615456,0.002180871],"genre_scores_gemma":[0.9840619,0.0001868137,0.01247165,0.00004763342,0.00005388224,0.00003915865,0.002604682,0.00002921455,0.0005051566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00782425,"threshold_uncertainty_score":0.01801509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2350247818472535,"score_gpt":0.3767066647014576,"score_spread":0.1416818828542041,"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."}}