{"id":"W4206732238","doi":"10.1017/cjn.2021.389","title":"P.113 A Population-based Study of the Epidemiology, Healthcare Resource Utilization and Costs of Duchenne Muscular Dystrophy in Alberta, Canada","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Celiac Association; Calgary Laboratory Services","funders":"","keywords":"Medicine; Duchenne muscular dystrophy; Health care; Diagnosis code; Epidemiology; Ambulatory; Medical costs; Population; Indirect costs; Emergency medicine; Pediatrics; Retrospective cohort study; Neuromuscular disease; Disease; Environmental health; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005946117,0.0002755493,0.0002810516,0.001529092,0.001564968,0.001297065,0.001037515,0.0003864121,0.004007927],"category_scores_gemma":[0.002095629,0.000285998,0.0005642172,0.004487865,0.0004498214,0.0002926864,0.0005989482,0.0005645283,0.0003323507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01597695,"about_ca_system_score_gemma":0.027961,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9926615,"about_ca_topic_score_gemma":0.9908875,"domain_scores_codex":[0.9992476,0.00005496382,0.00004341714,0.00009312179,0.000379229,0.0001817851],"domain_scores_gemma":[0.9985988,0.0001131434,0.0002927521,0.00004775863,0.0006431761,0.0003044475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002093503,0.00002017881,0.9940679,0.00002764829,0.00003594829,0.00005964039,0.0001250644,0.00009557149,0.00004201207,0.00008006946,0.002917719,0.002507259],"study_design_scores_gemma":[0.000005398909,0.000008858833,0.9986855,0.00003034331,0.00001537604,0.00005372793,0.0002771947,0.0002315346,0.000009886307,0.00001689488,0.0006619314,0.000003260431],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9508703,0.00262011,0.0004275573,0.001565497,0.00007001133,0.0001756795,0.03482963,0.00004678769,0.009394476],"genre_scores_gemma":[0.9895726,0.0008734733,0.0004841724,0.0002952374,0.00002108972,0.00004455973,0.006171895,0.00001008614,0.002526904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01597695,"threshold_uncertainty_score":0.1159214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03063910985498597,"score_gpt":0.2785145843560297,"score_spread":0.2478754745010437,"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."}}