{"id":"W4384301415","doi":"10.1016/j.clinthera.2023.06.004","title":"Protocol for a Prospective, Observational Cost-effectiveness Analysis of Returning Secondary Findings of Genome Sequencing for Unexplained Suspected Genetic Conditions","year":2023,"lang":"en","type":"article","venue":"Clinical Therapeutics","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Children's Hospital of Eastern Ontario; Institute for Clinical Evaluative Sciences; University of Toronto; SickKids Foundation; University of Ottawa; Hospital for Sick Children","funders":"Canadian Institutes of Health Research; Government of Canada; Ontario Genomics; Ontario Genomics Institute; Genome Canada","keywords":"Medicine; Observational study; Economic evaluation; Exome sequencing; Public health; Protocol (science); Index case; Intervention (counseling); Genetic testing; Exome; Cost effectiveness; Family medicine; Pediatrics; Genetics; Internal medicine; Nursing; Alternative medicine; Disease; Pathology; Risk analysis (engineering); Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02656176,0.004165257,0.004356198,0.003068758,0.002748033,0.002997709,0.0027276,0.00381228,0.08601598],"category_scores_gemma":[0.04852941,0.003446659,0.008052072,0.002773517,0.002070457,0.002252477,0.002462666,0.006979427,0.01094427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007740357,"about_ca_system_score_gemma":0.02128228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008352263,"about_ca_topic_score_gemma":0.005367535,"domain_scores_codex":[0.9777273,0.01352188,0.003434774,0.001910361,0.001414489,0.00199116],"domain_scores_gemma":[0.9606256,0.01464169,0.008373613,0.005484547,0.007106457,0.003768025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.6286283,0.02177843,0.03204008,0.01829562,0.01212854,0.002055509,0.001052408,0.03336126,0.002779165,0.03105954,0.1031809,0.1136403],"study_design_scores_gemma":[0.6085287,0.07859111,0.07570818,0.01481269,0.007618151,0.001609781,0.00132395,0.02725634,0.004675599,0.02780239,0.1507785,0.001294657],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.01033782,0.0003269024,0.007620702,0.0007893027,0.0003348839,0.9605252,0.01677639,0.0001493259,0.003139535],"genre_scores_gemma":[0.01291948,0.0001192663,0.005339337,0.0005750607,0.0001075515,0.97778,0.002645028,0.0000172739,0.0004970564],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.08601598,"threshold_uncertainty_score":0.2877521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1873006830068213,"score_gpt":0.4485893318328177,"score_spread":0.2612886488259964,"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."}}