{"id":"W1987303508","doi":"10.1159/000067111","title":"Geographic and Temporal Distribution of Mortality Rates for Multiple Sclerosis in Canada, 1965–1994","year":2003,"lang":"en","type":"article","venue":"Neuroepidemiology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Demography; Medicine; Mortality rate; Population; Age groups; Surgery","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":[0.0003750989,0.0002625781,0.0002670998,0.004211494,0.001362957,0.0006504274,0.0006604629,0.0001697853,0.002263278],"category_scores_gemma":[0.001954088,0.0002117779,0.0004061236,0.007179237,0.0003172967,0.0002210024,0.0004144149,0.0003906123,0.0002987168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01856326,"about_ca_system_score_gemma":0.01937347,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951628,"about_ca_topic_score_gemma":0.9961736,"domain_scores_codex":[0.9993922,0.00002200168,0.00006367831,0.0000716393,0.000266744,0.0001838019],"domain_scores_gemma":[0.9976727,0.0000758754,0.0003440449,0.00003533133,0.001639282,0.000232742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001700676,0.00001732316,0.9714489,0.0001443393,0.0001141203,0.0001362967,0.0005755248,0.0006162309,0.0002735701,0.0003611356,0.009464268,0.01667829],"study_design_scores_gemma":[0.000005264354,0.000008193737,0.9952615,0.00003639263,0.00002046808,0.00007663869,0.0004051524,0.0002850353,0.00007539377,0.00002173414,0.003795769,0.000008326571],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8770273,0.005145285,0.0004386049,0.0006833441,0.00005486035,0.0000828241,0.1049307,0.0001089927,0.0115282],"genre_scores_gemma":[0.9539718,0.003191306,0.0008639919,0.00009987073,0.00002083682,0.00004778652,0.03792728,0.00001640486,0.00386079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01856326,"threshold_uncertainty_score":0.1346865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1227508774518731,"score_gpt":0.3504201251290755,"score_spread":0.2276692476772024,"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."}}