{"id":"W2128622895","doi":"10.1186/gm25","title":"Genomic medicine: considerations for health professionals and the public","year":2009,"lang":"en","type":"article","venue":"Genome Medicine","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Genome Canada","keywords":"Genomic medicine; Human genetics; Personalized medicine; Public health; Genomics; Precision medicine; Genetic testing; Engineering ethics; Medicine; Data science; Ethical issues; Genomic information; Bioinformatics; Computer science; Computational biology; Genetics; Engineering; Biology; Genome; Pathology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07100765,0.001361744,0.002229575,0.003026816,0.01444445,0.02336986,0.0055802,0.07277793,0.01818376],"category_scores_gemma":[0.11497,0.001041594,0.001274314,0.002013324,0.0364734,0.01928598,0.01752095,0.02705439,0.005349471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009015216,"about_ca_system_score_gemma":0.04281424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008016714,"about_ca_topic_score_gemma":0.01059601,"domain_scores_codex":[0.9468057,0.03849318,0.002118011,0.001720176,0.007966897,0.002896157],"domain_scores_gemma":[0.8775909,0.09071415,0.002576768,0.003417419,0.009617165,0.01608367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001199252,0.00016352,0.001419468,0.0008769281,0.00007232038,0.002221764,0.006185174,0.001021508,0.0003239821,0.4448508,0.4125343,0.1302104],"study_design_scores_gemma":[0.00006790058,0.0001373406,0.0008585514,0.002919194,0.00005722057,0.002654693,0.01782867,0.000427887,0.0001078299,0.5760012,0.3988337,0.0001058146],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.0003380585,0.009775358,0.001573281,0.9791393,0.001743966,0.00001644027,0.00001430145,0.00002670084,0.007372405],"genre_scores_gemma":[0.08848464,0.05440613,0.01566153,0.8057764,0.02375269,0.0004365409,0.000128059,0.0001170195,0.01123699],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.07277793,"threshold_uncertainty_score":0.3755288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02949713839584573,"score_gpt":0.3436561998137644,"score_spread":0.3141590614179187,"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."}}