{"id":"W2162646598","doi":"10.2217/pme.12.37","title":"After the Revolution? Ethical and Social Challenges in ‘Personalized Genomic Medicine‘","year":2012,"lang":"en","type":"article","venue":"Personalized Medicine","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Human Genome Research Institute","keywords":"Vision; Personalized medicine; Health care; Promotion (chess); Empowerment; Engineering ethics; Precision medicine; Order (exchange); Public relations; Medicine; Data science; Political science; Sociology; Computer science; Business; Bioinformatics; Politics; Engineering; Law; Biology","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":[0.07569206,0.0006228093,0.001158727,0.001128123,0.01529675,0.02015285,0.002338011,0.03185884,0.005423853],"category_scores_gemma":[0.0664344,0.0005021034,0.0009341198,0.001417515,0.08788487,0.02625869,0.01080067,0.03960148,0.001195656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00861264,"about_ca_system_score_gemma":0.01416269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00455691,"about_ca_topic_score_gemma":0.005759578,"domain_scores_codex":[0.9425761,0.04082351,0.001165594,0.002980129,0.008110308,0.004344419],"domain_scores_gemma":[0.9221464,0.05933729,0.003278876,0.004228256,0.005108428,0.005900908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002066036,0.00003050143,0.000224538,0.00004452413,0.00001014508,0.0001566846,0.006804632,0.0001229712,0.0001216054,0.9380583,0.04600399,0.0084015],"study_design_scores_gemma":[0.00003188284,0.00003960998,0.000349634,0.0002334658,0.000008734663,0.0002389628,0.01078199,0.00025758,0.0001790626,0.7275651,0.2602679,0.00004616994],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001906724,0.004372095,0.001512782,0.9782818,0.001602781,0.000008587104,0.000008816162,0.00001094107,0.01229539],"genre_scores_gemma":[0.2523344,0.007299531,0.005411672,0.7153399,0.007327846,0.0001471555,0.00003055885,0.00009749545,0.01201151],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07569206,"threshold_uncertainty_score":0.4003026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04337167410290555,"score_gpt":0.3293809428157,"score_spread":0.2860092687127944,"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."}}