{"id":"W7096660482","doi":"","title":"Regional variation of multiple sclerosis prevalence in Canada.&amp;quot; Mult Scler 11(5","year":2005,"lang":"en","type":"article","venue":"","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Logistic regression; Regional variation; Odds; Odds ratio; Multiple sclerosis; Epidemiology; Prevalence; Cross-sectional study","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":[0.0007719421,0.0002776278,0.0003447166,0.002056679,0.001053465,0.0007966381,0.0006976876,0.000260249,0.001788627],"category_scores_gemma":[0.002300067,0.0001912567,0.0006281455,0.004536086,0.0004617806,0.0002528426,0.0005118255,0.0002620544,0.0001861567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01159691,"about_ca_system_score_gemma":0.01208121,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9905751,"about_ca_topic_score_gemma":0.9930929,"domain_scores_codex":[0.9991729,0.00009609738,0.00005615819,0.0001688,0.0002962255,0.0002098605],"domain_scores_gemma":[0.9985231,0.0001126931,0.0003322916,0.00004603262,0.0008184339,0.0001674713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000765619,0.000008806713,0.9874464,0.0001004939,0.0001729144,0.00007762005,0.0004172652,0.0002924423,0.0003161558,0.0001268202,0.001365176,0.009599309],"study_design_scores_gemma":[0.000003492735,0.000008609668,0.9984931,0.00002176106,0.00003508391,0.00006695909,0.0002642118,0.0002644674,0.00004527124,0.00001699714,0.0007733789,0.000006789634],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778656,0.007095344,0.0004829149,0.000645828,0.00002338142,0.00006202498,0.01060386,0.00005531909,0.003165726],"genre_scores_gemma":[0.9966497,0.0008481273,0.0004774742,0.00006662636,0.000005730494,0.0000126877,0.001269664,0.000007426652,0.0006626495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01159691,"threshold_uncertainty_score":0.08414191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1127208081390408,"score_gpt":0.3016314917437626,"score_spread":0.1889106836047218,"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."}}