{"id":"W2280430690","doi":"10.1080/15265161.2015.1039732","title":"The Role of Whole Genome and Whole Exome Sequencing in Preventive Genomic Sequencing Programs","year":2015,"lang":"en","type":"letter","venue":"The American Journal of Bioethics","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Aalborg Universitet","keywords":"Exome sequencing; Genomic sequencing; Exome; Whole genome sequencing; Computational biology; Genome; Genetics; Biology; DNA sequencing; Genomics; Gene; Mutation","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001481914,0.0002584693,0.0004805813,0.00009314176,0.0001199768,0.00007091583,0.0007002651,0.0002318831,6.910058e-7],"category_scores_gemma":[0.0001141061,0.0001586889,0.0002097614,0.0001536344,0.001593522,0.000006183239,0.0002443566,0.001263549,0.000001453597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001808892,"about_ca_system_score_gemma":0.001437964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002380276,"about_ca_topic_score_gemma":0.000064577,"domain_scores_codex":[0.9980378,0.0004337156,0.0006059595,0.0002406964,0.0003241077,0.0003576826],"domain_scores_gemma":[0.9975841,0.00009322156,0.001431059,0.0004316297,0.0003718017,0.00008819019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000664438,0.00007013994,0.001342894,0.0001875873,0.00126293,0.0003678846,0.006169683,0.0007611534,0.9473071,0.00004148288,0.007611561,0.03421313],"study_design_scores_gemma":[0.001100145,0.004568968,0.001070657,0.0005304988,0.0005416769,0.001535741,0.03434874,0.0001240233,0.008504412,0.006369672,0.9402448,0.001060648],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9540672,0.01609183,0.00002826396,0.02922373,0.0001263937,0.0002750883,0.0001075126,0.000002730698,0.0000772127],"genre_scores_gemma":[0.9758914,0.003520509,0.0005072163,0.0180004,0.001586454,0.00001208958,0.0001227201,0.00008296615,0.000276244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9388027,"threshold_uncertainty_score":0.6471147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02650533395621387,"score_gpt":0.2746567289145291,"score_spread":0.2481513949583152,"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."}}