{"id":"W2032071249","doi":"10.1177/1352458507085801","title":"Argentine Patagonia: prevalence and clinical features of multiple sclerosis","year":2008,"lang":"en","type":"article","venue":"Multiple Sclerosis Journal","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"","keywords":"Multiple sclerosis; Demography; Population; Incidence (geometry); Prevalence; Geography; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001844428,0.0005426739,0.001377588,0.0004410637,0.0009116525,0.00007971401,0.0004674426,0.0003149473,0.0002860356],"category_scores_gemma":[0.006908763,0.0004370111,0.000715082,0.0005384762,0.001438979,0.0004176467,0.0005050583,0.001561604,0.00003643008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001331278,"about_ca_system_score_gemma":0.0002632221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001601673,"about_ca_topic_score_gemma":0.00008234396,"domain_scores_codex":[0.9944034,0.0004611566,0.001742717,0.0008115167,0.00154801,0.00103315],"domain_scores_gemma":[0.9950808,0.00138648,0.0007083784,0.0007679727,0.001014819,0.001041573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009230326,0.0009928768,0.9062704,0.0002737893,0.0005090349,0.00004759343,0.0003952972,0.00000651655,0.06161307,0.00000303871,0.008804233,0.02016108],"study_design_scores_gemma":[0.01002501,0.0008083262,0.9755933,0.001196142,0.0002216266,0.00055386,0.0001365423,0.0006911601,0.009128869,0.000006035107,0.001266817,0.0003723225],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914318,0.00545931,0.0002263945,0.001033416,0.0005276653,0.0008592435,0.0001465037,0.00009597992,0.0002196421],"genre_scores_gemma":[0.9191635,0.07119568,0.007948779,0.0002042303,0.0007755455,0.00003607399,0.0000149393,0.00007824224,0.0005830301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07226837,"threshold_uncertainty_score":0.9998082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1802237103614115,"score_gpt":0.3418067466174209,"score_spread":0.1615830362560094,"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."}}