{"id":"W3094140895","doi":"10.3390/ijns6040082","title":"Challenges in Assessing the Cost-Effectiveness of Newborn Screening: The Example of Congenital Adrenal Hyperplasia","year":2020,"lang":"en","type":"review","venue":"International Journal of Neonatal Screening","topic":"Sexual Differentiation and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Congenital adrenal hyperplasia; Newborn screening; Medicine; Cost effectiveness; Screening test; Pediatrics; Intensive care medicine; Endocrinology; Risk analysis (engineering)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.01849918,0.001346243,0.004942422,0.00341426,0.0002859576,0.003650863,0.002388811,0.00278645,0.004090266],"category_scores_gemma":[0.04965754,0.0005410436,0.00303208,0.004157017,0.001102208,0.003590866,0.001274411,0.004024108,0.000643944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003172995,"about_ca_system_score_gemma":0.005679713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007579429,"about_ca_topic_score_gemma":0.007000642,"domain_scores_codex":[0.9919406,0.005397424,0.0007809719,0.0003945043,0.001297058,0.0001895882],"domain_scores_gemma":[0.9476248,0.04826292,0.001349001,0.000386584,0.002169802,0.0002067433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003273164,0.00007265043,0.0007387876,0.05259244,0.002604413,0.0001891514,0.0001346403,0.005768263,0.0001563878,0.04004947,0.01686289,0.8805035],"study_design_scores_gemma":[0.0004070268,0.0006545101,0.007645382,0.235375,0.007584631,0.00227371,0.001091379,0.005320219,0.0006889068,0.1298037,0.6089374,0.0002181231],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002702354,0.994591,0.0005352513,0.003186472,0.0001931274,0.00001707759,0.00008047639,0.000003996197,0.001122372],"genre_scores_gemma":[0.00747088,0.9889421,0.00169226,0.00113231,0.0004515807,0.00006649898,0.000067215,0.000009357986,0.0001677354],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01849918,"threshold_uncertainty_score":0.09783417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1433059792203566,"score_gpt":0.3914154027994002,"score_spread":0.2481094235790436,"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."}}