{"id":"W2032419151","doi":"10.1080/15265161.2013.879960","title":"Predictive Genomic Testing of Children for Adult Onset Disorders: A Canadian Perspective","year":2014,"lang":"en","type":"letter","venue":"The American Journal of Bioethics","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Holland Bloorview Kids Rehabilitation Hospital; Hospital for Sick Children; University of Toronto; St Joseph's Health Centre","funders":"","keywords":"Medical genetics; Perspective (graphical); Genetic testing; Medicine; Predictive testing; Pediatrics; Family medicine; Gerontology; Psychology; Genetics; Internal medicine; Biology; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0003880327,0.0002402782,0.0004393559,0.0001391045,0.0001336761,0.00002398284,0.0006473141,0.0002473112,0.000001809307],"category_scores_gemma":[0.0008996539,0.0001750442,0.0003549481,0.0001097586,0.001142845,0.000002096187,0.00005876705,0.0008591284,7.658818e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008573461,"about_ca_system_score_gemma":0.001575905,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02641711,"about_ca_topic_score_gemma":0.004482802,"domain_scores_codex":[0.9986871,0.0001945465,0.0003852138,0.0002337798,0.0001797704,0.000319616],"domain_scores_gemma":[0.9967276,0.0002075122,0.001281155,0.0003484958,0.001313803,0.0001213894],"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":[0.002130726,0.0002091345,0.01221485,0.0002212259,0.00669715,0.00006535958,0.003659578,0.00107542,0.007087377,0.0002023681,0.9584354,0.008001464],"study_design_scores_gemma":[0.01324841,0.1078268,0.08570063,0.003191948,0.01334262,0.009741364,0.05584713,0.001322,0.01545647,0.03990533,0.6444964,0.009920877],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5609168,0.001827104,0.001283639,0.4318977,0.0003409872,0.0007272604,0.002753726,0.000005567303,0.0002471541],"genre_scores_gemma":[0.8214745,0.0005812984,0.001331842,0.1735645,0.002756379,0.000009579182,0.0001778115,0.00007224712,0.00003183688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3139389,"threshold_uncertainty_score":0.9800661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01586929671370388,"score_gpt":0.2701635931556438,"score_spread":0.2542942964419399,"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."}}