{"id":"W7132970046","doi":"","title":"Opportunistic Genomic Screening for a Broad Range of Medically Relevant Secondary Findings: Molecular Findings, Clinical Utility, and Cost-Effectiveness","year":2024,"lang":"","type":"dissertation","venue":"TSpace","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Services and Policy Research","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research","keywords":"Exome sequencing; Exome; Pharmacogenomics; Genomics; Randomized controlled trial; Precision medicine; Intervention (counseling); Clinical trial","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":[0.01176088,0.000538987,0.001268306,0.00103771,0.0002747799,0.001295902,0.0004937758,0.0008475378,0.005098897],"category_scores_gemma":[0.01969027,0.0001913406,0.003006449,0.00104366,0.0007903275,0.0009105956,0.001028187,0.0008716857,0.0002683951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0021144,"about_ca_system_score_gemma":0.002289052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001351688,"about_ca_topic_score_gemma":0.001986083,"domain_scores_codex":[0.9912424,0.005766254,0.000739565,0.0009042625,0.0009226432,0.0004248873],"domain_scores_gemma":[0.9799365,0.01285416,0.00502998,0.0006843789,0.0006809324,0.0008141808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.2041245,0.00873825,0.2366778,0.01285388,0.01411854,0.0004427196,0.0004857581,0.01321371,0.003038164,0.004133018,0.006267642,0.4959059],"study_design_scores_gemma":[0.08833763,0.1698784,0.5899087,0.01534554,0.04161432,0.003291606,0.00115285,0.02857578,0.007842902,0.02262511,0.03102961,0.000397474],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9434621,0.02836904,0.005443644,0.003194439,0.000251137,0.004411863,0.004132413,0.00006361642,0.01067182],"genre_scores_gemma":[0.9912853,0.002398033,0.002941991,0.0004776992,0.0000981091,0.001610815,0.000832078,0.000008471308,0.0003475568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01176088,"threshold_uncertainty_score":0.06219822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04470916552094498,"score_gpt":0.3858228814369355,"score_spread":0.3411137159159905,"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."}}