{"id":"W6977488805","doi":"10.6084/m9.figshare.c.7981537.v1","title":"A cost-utility analysis of newborn screening for spinal muscular atrophy in Canada","year":2025,"lang":"en","type":"other","venue":"Figshare","topic":"Neurogenetic and Muscular Disorders Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; McGill University Health Centre; Institute of Health Economics; Children's Hospital of Eastern Ontario","funders":"","keywords":"Newborn screening; SMA*; Spinal muscular atrophy; SMN1; Life expectancy; Population; Cost-effectiveness analysis; Quality-adjusted life year; Cohort; Quality of life (healthcare)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004258059,0.0001799271,0.0006718427,0.0006289442,0.00001581116,0.00000538977,0.000173509,0.0001367061,0.1187028],"category_scores_gemma":[0.0005806712,0.0001755621,0.0003611891,0.0008791525,0.000008312862,0.000005569791,0.00007901851,0.0002024399,0.000008289203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001008877,"about_ca_system_score_gemma":0.002500223,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4866625,"about_ca_topic_score_gemma":0.8215697,"domain_scores_codex":[0.9986871,0.00004123263,0.0002376346,0.0003690633,0.0003818269,0.0002830884],"domain_scores_gemma":[0.999149,0.00005055204,0.0001023543,0.0004627236,0.000128796,0.0001065998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001430067,0.00005132927,0.002457911,0.002691236,0.001798312,0.00007580889,0.000006594465,0.00003920693,0.000005890869,0.000001207132,0.9058831,0.08684644],"study_design_scores_gemma":[0.0009025605,0.00006056937,0.03953012,0.002819151,0.0007062348,5.905008e-7,0.00004078565,0.001775697,0.00003141688,0.000001040684,0.954001,0.0001308359],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002083801,0.01326196,0.001217329,0.0002509123,0.00007234686,0.00632298,0.8306877,0.00006037318,0.147918],"genre_scores_gemma":[0.02810209,0.0002456659,0.006515643,0.001320229,0.0003445359,0.002988023,0.7040311,0.0008150166,0.2556378],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3349071,"threshold_uncertainty_score":0.8821028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08239694685040577,"score_gpt":0.3500948681193954,"score_spread":0.2676979212689897,"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."}}