{"id":"W4206552172","doi":"10.1016/j.msard.2022.103509","title":"Clinical characteristics and outcomes of multiple sclerosis patients with COVID-19 in Toronto, Canada","year":2022,"lang":"en","type":"letter","venue":"Multiple Sclerosis and Related Disorders","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hamilton Health Sciences; McMaster University; University of Toronto; St. Michael's Hospital","funders":"","keywords":"Medicine; Multiple sclerosis; Coronavirus disease 2019 (COVID-19); Ocrelizumab; Retrospective cohort study; Population; Disease; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pediatrics; Internal medicine; Infectious disease (medical specialty); Immunology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003795153,0.0003576998,0.0006387514,0.0009322308,0.003382413,0.001527161,0.001074699,0.000775234,0.003729606],"category_scores_gemma":[0.002283612,0.0003464459,0.00043379,0.00464681,0.0007416469,0.0004566314,0.000799965,0.001152588,0.0004217395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02791395,"about_ca_system_score_gemma":0.03029426,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9813653,"about_ca_topic_score_gemma":0.9907147,"domain_scores_codex":[0.9989029,0.00008431658,0.0001009198,0.0001095821,0.0002653323,0.0005369012],"domain_scores_gemma":[0.9964071,0.0001444544,0.0005236696,0.00006870478,0.001518884,0.001337155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002296475,0.00005544754,0.9867943,0.00004207539,0.00006070175,0.00131138,0.0009534752,0.00009347546,0.000289176,0.0002081828,0.006841626,0.003120612],"study_design_scores_gemma":[0.00003468633,0.00003731372,0.9952395,0.00007059821,0.00004067226,0.0005256974,0.002299521,0.0001344536,0.00004045845,0.00004649009,0.00150984,0.0000208549],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725418,0.002116192,0.00007724109,0.006639353,0.0001359671,0.00006812199,0.006767575,0.00001666702,0.01163699],"genre_scores_gemma":[0.9945739,0.0008151546,0.00007243003,0.0009188427,0.00006590119,0.00002058356,0.00176974,0.000007621658,0.00175577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02791395,"threshold_uncertainty_score":0.2025309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0455873167147681,"score_gpt":0.29016341688654,"score_spread":0.2445761001717719,"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."}}