{"id":"W4416454531","doi":"10.1017/cjn.2025.10475","title":"Epidemiology and Healthcare Resource Utilization of Rett Syndrome in Canada: The Ontario Experience","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Genetics and Neurodevelopmental Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of Toronto; University of Manitoba; University of British Columbia","funders":"","keywords":"Epidemiology; Comorbidity; Health care; Rett syndrome; Multimorbidity; Resource (disambiguation); Health economics; Healthcare system","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":[0.000636414,0.0002836282,0.0004093225,0.001471431,0.002879265,0.001395851,0.001117207,0.0004037536,0.001693235],"category_scores_gemma":[0.003098784,0.0003888549,0.0005477739,0.006049598,0.0009548777,0.0005362902,0.001244949,0.0006609056,0.0001495964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05950252,"about_ca_system_score_gemma":0.08389211,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9977848,"about_ca_topic_score_gemma":0.9983906,"domain_scores_codex":[0.9982552,0.0001033729,0.0001292955,0.0001505382,0.0007864702,0.0005750332],"domain_scores_gemma":[0.9945278,0.0002407217,0.001320279,0.0001016691,0.002125153,0.001684464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000376324,0.00002401872,0.9866779,0.00008830489,0.00005143543,0.000286819,0.00232468,0.0001442164,0.000135747,0.0001810605,0.003657493,0.006390703],"study_design_scores_gemma":[0.000006098602,0.00001828453,0.9944263,0.00008657654,0.00001845552,0.0001578892,0.00230239,0.0002202816,0.00003158359,0.0000271507,0.00269147,0.00001360505],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743664,0.003243311,0.0001581856,0.003089866,0.00004117609,0.0001089833,0.01104974,0.00002565144,0.007916783],"genre_scores_gemma":[0.9928762,0.002665181,0.0001982555,0.0003919866,0.00001858406,0.00003626644,0.00259585,0.000009981361,0.001207738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05950252,"threshold_uncertainty_score":0.431723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04073291691537983,"score_gpt":0.2769992948913994,"score_spread":0.2362663779760195,"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."}}