{"id":"W2096555658","doi":"10.1177/1352458508089226","title":"Contribution of incidence to increasing prevalence of multiple sclerosis in Alberta, Canada","year":2008,"lang":"en","type":"article","venue":"Multiple Sclerosis Journal","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health; University of Calgary; University of Alberta","funders":"","keywords":"Incidence (geometry); Demography; Multiple sclerosis; Medicine; Population; Prevalence; Epidemiology; McDonald criteria; Environmental health; Internal medicine; 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":[0.000745105,0.0002569525,0.0003562722,0.00348935,0.00097002,0.001041862,0.001178671,0.0003416854,0.001837268],"category_scores_gemma":[0.004750283,0.0002853985,0.0004517479,0.004610981,0.0004552699,0.0002984469,0.0006159463,0.0007707999,0.0001417652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02120464,"about_ca_system_score_gemma":0.02194162,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9921617,"about_ca_topic_score_gemma":0.9926929,"domain_scores_codex":[0.9986104,0.0001116664,0.00007133465,0.0001098855,0.0007239965,0.000372656],"domain_scores_gemma":[0.9964299,0.0002240748,0.000627501,0.00008109434,0.002089622,0.0005478488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007022034,0.00001621618,0.9833825,0.00005066974,0.00005383719,0.0001758873,0.000191903,0.000303407,0.0001415467,0.0001189569,0.002336766,0.01315807],"study_design_scores_gemma":[0.000003689546,0.000007628456,0.9983646,0.00002918347,0.00003109493,0.0001139821,0.0002265824,0.0003064183,0.00003252759,0.00002854786,0.0008507672,0.000004979716],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9628832,0.009226186,0.0004771381,0.002743942,0.0001177487,0.00006996197,0.008330734,0.00009747592,0.01605358],"genre_scores_gemma":[0.9933254,0.002680558,0.0003627789,0.0001791847,0.00004113551,0.00001049416,0.001904324,0.00001014097,0.001486012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02120464,"threshold_uncertainty_score":0.1538511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07548102177299536,"score_gpt":0.2823439619819707,"score_spread":0.2068629402089753,"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."}}