{"id":"W2274066308","doi":"10.1586/14737159.2016.1146593","title":"Toward clinical genomics in everyday medicine: perspectives and recommendations","year":2016,"lang":"en","type":"article","venue":"Expert Review of Molecular Diagnostics","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genome British Columbia","funders":"National Institute of General Medical Sciences; National Human Genome Research Institute; Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Cancer Institute; National Heart, Lung, and Blood Institute","keywords":"Personalized medicine; Viewpoints; Precision medicine; Exome sequencing; Genomics; Exome; Health care; Medicine; Genome; Bioinformatics; Biology; Political science; Genetics; Pathology","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":[0.04703714,0.002047028,0.0039866,0.00391376,0.002782109,0.01239691,0.006353508,0.02401757,0.01036957],"category_scores_gemma":[0.05192792,0.001025431,0.001987604,0.003569166,0.01238975,0.02612533,0.007902307,0.04347979,0.005317582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007612124,"about_ca_system_score_gemma":0.02441534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008242982,"about_ca_topic_score_gemma":0.01520658,"domain_scores_codex":[0.9777189,0.01308165,0.002203494,0.001804967,0.003910508,0.001280637],"domain_scores_gemma":[0.9097873,0.05487718,0.002897507,0.002527,0.02081353,0.009097507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001262178,0.0002369366,0.0007932527,0.006269943,0.0001808436,0.0006934042,0.001851253,0.0007235422,0.0003751404,0.121527,0.655341,0.2118814],"study_design_scores_gemma":[0.0001270924,0.00009642131,0.0008047929,0.01957837,0.0001289811,0.0006021329,0.005237262,0.0004701352,0.0001276976,0.1930131,0.7796852,0.0001287843],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.00009454788,0.09749264,0.00112007,0.8926892,0.007064534,0.00002511911,0.00003717731,0.0000277082,0.001449054],"genre_scores_gemma":[0.005694248,0.3719297,0.01109736,0.5818437,0.02619565,0.0002704705,0.0001392389,0.00005159579,0.002778034],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.04703714,"threshold_uncertainty_score":0.2487592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02203982220954707,"score_gpt":0.3535087466695609,"score_spread":0.3314689244600138,"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."}}