{"id":"W7103438512","doi":"","title":"Multiple sclerosis in Canada 2011 to 2031: results of a\\nmicrosimulation modelling study of epidemiological and\\neconomic impacts","year":2017,"lang":"en","type":"article","venue":"PubMed Central","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Multiple sclerosis; Epidemiology; MEDLINE; Disease","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":[0.001211212,0.0007759813,0.0007962798,0.0008538915,0.001204722,0.001621048,0.001778283,0.0008600738,0.001756413],"category_scores_gemma":[0.003659015,0.0003797996,0.001495738,0.002645884,0.0005228671,0.0006386321,0.001138684,0.0009929219,0.000239967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02771993,"about_ca_system_score_gemma":0.03717829,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9926145,"about_ca_topic_score_gemma":0.9876668,"domain_scores_codex":[0.9991235,0.0002757721,0.0000475303,0.00010033,0.0001426934,0.0003101813],"domain_scores_gemma":[0.9980991,0.0005126315,0.0002286712,0.00008789178,0.0008477015,0.0002239379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001193745,0.0007629425,0.4899894,0.0003738652,0.001709628,0.000430334,0.0009149981,0.4750931,0.0005104184,0.004614671,0.01022278,0.01418416],"study_design_scores_gemma":[0.0002102992,0.0002211343,0.3543621,0.000128739,0.0007654269,0.00009230693,0.004065861,0.6301857,0.0005990223,0.001280413,0.007941199,0.0001478521],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832797,0.0005044207,0.001454774,0.001309282,0.0000436177,0.00006704738,0.00964631,0.0001085147,0.003586295],"genre_scores_gemma":[0.9927417,0.0004028817,0.001007301,0.000113094,0.000008561456,0.00004590633,0.004126559,0.00002402815,0.001529912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02771993,"threshold_uncertainty_score":0.2011231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1725177472473891,"score_gpt":0.3117551895755782,"score_spread":0.1392374423281891,"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."}}