{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.006772733,0.0003944902,0.0005307749,0.00183144,0.005409504,0.000991288,0.002548959,0.0001672107,0.0001052279],"category_scores_gemma":[0.009797497,0.0002497444,0.0006455863,0.00345463,0.007755382,0.0005546302,0.0000950411,0.001515944,0.00001136566],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005564646,"about_ca_system_score_gemma":0.02454569,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0318883,"about_ca_topic_score_gemma":0.6371359,"domain_scores_codex":[0.9932872,0.0009162403,0.0008710648,0.0008000108,0.002068026,0.002057425],"domain_scores_gemma":[0.9924701,0.0007560931,0.0005484349,0.0003681479,0.00125518,0.004602036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000860735,0.00006193385,0.9339663,0.0001149297,0.00009567071,0.02772683,0.0002444761,0.006428924,0.0001457586,0.005162876,0.02016922,0.00502237],"study_design_scores_gemma":[0.0008682057,0.03862444,0.8513296,0.0002505193,0.000208047,0.01362626,0.0002168474,0.005128687,0.0000343654,0.02137439,0.06778105,0.0005576271],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9485857,0.001932903,0.00002924257,0.04629427,0.000727593,0.0006390311,0.00003422778,0.00003079155,0.00172618],"genre_scores_gemma":[0.9909685,0.00119096,0.0005372827,0.00637535,0.0006261919,0.00002658422,0.000002172427,0.00002638255,0.0002465305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6052476,"threshold_uncertainty_score":0.9999955,"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."}}