{"id":"W2995755393","doi":"10.1159/000504804","title":"Causes that Contribute to the Excess Mortality Risk in Multiple Sclerosis: A Population-Based Study","year":2019,"lang":"en","type":"article","venue":"Neuroepidemiology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia Hospital; University of Saskatchewan; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Multiple sclerosis; Population; Excess mortality; Population based study; Demography; Environmental health; Gerontology; Psychiatry","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":[0.0007077422,0.0004077814,0.0004469314,0.001364797,0.0006244542,0.0008854116,0.0005451057,0.0007560116,0.001188314],"category_scores_gemma":[0.002159159,0.0003729525,0.0007901374,0.002159069,0.0003030731,0.0005335397,0.0005955126,0.0008863878,0.0002848597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004449426,"about_ca_system_score_gemma":0.0005334236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01266347,"about_ca_topic_score_gemma":0.01478555,"domain_scores_codex":[0.9994181,0.0001208065,0.00006339353,0.0001742192,0.0001335467,0.00008995555],"domain_scores_gemma":[0.9987489,0.0001477494,0.000567111,0.0001223086,0.000205701,0.0002081998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004647916,0.00001570245,0.9991894,0.000008458673,0.00009964163,0.00003897887,0.00003458853,0.00001895075,0.00004302856,0.000008458956,0.0000552583,0.0004410823],"study_design_scores_gemma":[0.000003341209,0.00002506325,0.9995354,0.000004737652,0.00004748306,0.0001390682,0.0000795341,0.00006044078,0.000007900368,0.00002054882,0.00007381612,0.000002613051],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975377,0.0007824932,0.00009418761,0.00006354033,0.000008439732,0.00001309843,0.0008984566,0.000006297618,0.0005958034],"genre_scores_gemma":[0.9989402,0.0003302321,0.00006883662,0.0000264169,0.00002351161,0.00001240233,0.0004978916,0.000002121217,0.00009851857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01266347,"threshold_uncertainty_score":0.02517956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1929583861867532,"score_gpt":0.3833619336005004,"score_spread":0.1904035474137472,"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."}}