{"id":"W3009008098","doi":"10.1016/j.msard.2020.102028","title":"Predictors of hospitalization in a Canadian MS population: A matched cohort study","year":2020,"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":"University of Manitoba; Health Sciences Centre; Manitoba Health; University of Saskatchewan","funders":"Saskatchewan Health Research Foundation","keywords":"Medicine; Comorbidity; Odds ratio; Population; Odds; Logistic regression; Cohort; Demography; Retrospective cohort study; Cohort study; Diagnosis code; Pediatrics; Internal medicine; Environmental health","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":[0.0008435762,0.0009652416,0.000866442,0.002206017,0.004957614,0.001990128,0.001954065,0.001309763,0.002614399],"category_scores_gemma":[0.002278729,0.0009749635,0.00133254,0.004866629,0.001002378,0.0008834894,0.001117035,0.00178343,0.0003612443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01420756,"about_ca_system_score_gemma":0.0179852,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.969672,"about_ca_topic_score_gemma":0.9698913,"domain_scores_codex":[0.9987501,0.0001047782,0.0000657208,0.0002731041,0.0002631373,0.0005431478],"domain_scores_gemma":[0.9981759,0.0001021142,0.0003067633,0.0001326224,0.000621177,0.0006614577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002890266,0.0001399194,0.9966731,0.00001165952,0.000130099,0.0002294534,0.0004842112,0.00005074231,0.0002300954,0.00007120264,0.0006257005,0.001064877],"study_design_scores_gemma":[0.00002284557,0.00004834757,0.9981184,0.00000878475,0.00005707236,0.0001291396,0.001057983,0.0001883488,0.00002253383,0.0000247952,0.0003050216,0.00001663776],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972163,0.000244323,0.00005192113,0.0001555404,0.00001774626,0.00002988161,0.001441261,0.000006308403,0.0008366431],"genre_scores_gemma":[0.9978461,0.0003188935,0.0001262804,0.00009301506,0.00001733781,0.00002233993,0.001066959,0.000005529419,0.0005035751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03032804,"threshold_uncertainty_score":0.1030836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02436139598120182,"score_gpt":0.2527734395428892,"score_spread":0.2284120435616874,"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."}}