{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005146901,0.000181034,0.0004012721,0.00005473313,0.0000221652,0.000005473358,0.0001992859,0.0001178257,0.00005665878],"category_scores_gemma":[0.005251499,0.0001357579,0.0001154128,0.00009678306,0.0002640065,0.00000438698,0.0001747975,0.00007797818,0.000004335871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003782965,"about_ca_system_score_gemma":0.0001276193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002675879,"about_ca_topic_score_gemma":0.00001811206,"domain_scores_codex":[0.998507,0.0001444879,0.0006301351,0.0004026367,0.0001208426,0.0001948778],"domain_scores_gemma":[0.9987137,0.0003983346,0.0001823735,0.0004280755,0.0001591027,0.0001183669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001595488,0.001046127,0.02184206,0.001955077,0.0004340881,0.000117335,0.001374056,0.000006497361,0.249297,0.01544172,0.3086963,0.3996302],"study_design_scores_gemma":[0.002592152,0.001034848,0.005455683,0.008427997,0.0001073476,0.00004374926,0.0004968176,0.000006925534,0.0298634,0.0009703018,0.9503117,0.0006890762],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.06739107,0.897579,0.01160115,0.02126225,0.0005347843,0.0006710599,0.00008546986,0.000009728025,0.0008655564],"genre_scores_gemma":[0.1377718,0.8558985,0.002972591,0.002994808,0.0002367523,0.00004052332,0.00003750426,0.00002468792,0.00002278945],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6416154,"threshold_uncertainty_score":0.6286914,"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."}}