{"id":"W4379348634","doi":"10.1017/cjn.2023.184","title":"P.084 The Canadian Neuromuscular Disease Registry: a national spinal muscular atrophy registry for real world evidence","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Neurogenetic and Muscular Disorders Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Systems, Applications & Products in Data Processing (Canada); Vancouver Biotech (Canada); Toronto Public Health; Calgary Laboratory Services","funders":"","keywords":"Spinal muscular atrophy; Medicine; SMA*; Neuromuscular disease; Population; Natural history; Physical therapy; Disease registry; Disease; 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":[0.01123439,0.0005863022,0.0008152828,0.006838811,0.002420663,0.00359386,0.002731375,0.001447106,0.02867934],"category_scores_gemma":[0.05104737,0.000568726,0.0007384468,0.01607304,0.0009829529,0.001668426,0.002177194,0.001228571,0.006740212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01444911,"about_ca_system_score_gemma":0.130858,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8415729,"about_ca_topic_score_gemma":0.8563946,"domain_scores_codex":[0.9893814,0.001491475,0.0009793764,0.0006849258,0.006783495,0.0006792791],"domain_scores_gemma":[0.9101925,0.009577547,0.007499926,0.004769938,0.060814,0.007146045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00016699,0.00005389133,0.03208888,0.001519326,0.0001566863,0.00006797459,0.00009998328,0.0001915938,0.00008823604,0.003363841,0.8806002,0.08160243],"study_design_scores_gemma":[0.0007879059,0.0001049183,0.2436879,0.01005712,0.0004301471,0.0002448066,0.0004388612,0.001393471,0.000248793,0.001964652,0.7405339,0.0001075486],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01577547,0.02921148,0.004916444,0.07320493,0.003072404,0.005240782,0.724341,0.001303599,0.1429339],"genre_scores_gemma":[0.181632,0.03444012,0.06263617,0.02279461,0.003046976,0.008479156,0.6585958,0.001029838,0.02734534],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1584271,"threshold_uncertainty_score":0.3187202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0941516996830768,"score_gpt":0.3546156144191255,"score_spread":0.2604639147360487,"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."}}