{"id":"W7100455160","doi":"","title":"ORIGINAL COMMUNICATION High incidence and increasing prevalence of multiple sclerosis in British Columbia, Canada: findings from over two decades (1991–2010)","year":2016,"lang":"en","type":"article","venue":"","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Incidence (geometry); Life expectancy; Sex ratio; Prevalence; Multiple sclerosis; Epidemiology; Rate ratio; Poisson regression","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006393705,0.0003545117,0.0003897788,0.003554077,0.00185668,0.001692906,0.0009751535,0.0005798869,0.004658511],"category_scores_gemma":[0.003360444,0.0003385888,0.0004720411,0.009236468,0.0004950628,0.0004695518,0.0006931872,0.0008039139,0.0007492882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01672331,"about_ca_system_score_gemma":0.0233158,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9927229,"about_ca_topic_score_gemma":0.9949932,"domain_scores_codex":[0.9988715,0.00005481031,0.0001052536,0.0001831136,0.0005593665,0.0002259064],"domain_scores_gemma":[0.9942454,0.0001863534,0.0008442464,0.0001184071,0.00396021,0.0006453904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006332177,0.00002209552,0.9582035,0.0003301603,0.0001306587,0.0001874215,0.0006702616,0.000102451,0.0002674296,0.00004602559,0.02287082,0.01710582],"study_design_scores_gemma":[0.000002526032,0.000004878383,0.9962192,0.00008005196,0.00002576179,0.00008224025,0.000375823,0.00003589944,0.00003231773,0.000007068533,0.003126967,0.000007307888],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8368643,0.02147982,0.0003881022,0.006151952,0.0005554933,0.0001504031,0.1143241,0.0001182346,0.01996755],"genre_scores_gemma":[0.9578432,0.01063229,0.0005202232,0.001181735,0.0002596387,0.00005804849,0.01936585,0.00003921929,0.01009977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01672331,"threshold_uncertainty_score":0.1213366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02124709068810443,"score_gpt":0.2473321793690962,"score_spread":0.2260850886809917,"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."}}