{"id":"W4394725130","doi":"10.1017/cjn.2024.54","title":"Geographical Variation In Medication and Health Resource Use In Multiple Sclerosis","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Libin Cardiovascular Institute of Alberta; Alberta Children's Hospital; South Health Campus; University of Alberta","funders":"University of Alberta; Government of Alberta; Alberta Health Services","keywords":"Medicine; Health care; Logistic regression; Ambulatory; Ambulatory care; Cohort; Rural area; Demography; Family medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0007049778,0.0001453957,0.0002045044,0.001222361,0.00047182,0.0006461556,0.0006017597,0.0002640485,0.001301174],"category_scores_gemma":[0.002926513,0.0001545495,0.0003703443,0.002646309,0.0004915567,0.0002370688,0.0005774133,0.0002924839,0.0001499721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001656077,"about_ca_system_score_gemma":0.001342119,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4957055,"about_ca_topic_score_gemma":0.4895006,"domain_scores_codex":[0.9992616,0.0001928356,0.00007100286,0.000133578,0.0002180274,0.0001230583],"domain_scores_gemma":[0.9981759,0.000347377,0.0008034787,0.0001014872,0.0003130064,0.0002588747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002394447,0.000008397335,0.9984469,0.00001032365,0.00005440702,0.00003176901,0.0001345687,0.00009387216,0.00006303253,0.00001869938,0.0001122699,0.001001861],"study_design_scores_gemma":[0.00000111537,0.000005964139,0.9996409,0.000004369871,0.000006087133,0.00003027116,0.0001486435,0.00008491927,0.000008155558,0.000007504781,0.00006080482,0.000001260834],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983249,0.0003167149,0.00007357065,0.00009390985,0.00000431837,0.000006676951,0.0007042906,0.000004895021,0.0004707081],"genre_scores_gemma":[0.9994401,0.00009211408,0.00005962717,0.00001224581,0.000002784803,0.000003474725,0.0003232471,0.00000138902,0.0000648959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5042945,"threshold_uncertainty_score":0.9856404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1406558769081346,"score_gpt":0.3287722511871917,"score_spread":0.1881163742790571,"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."}}