{"id":"W2605421190","doi":"10.1186/s12910-017-0187-8","title":"The elusive ideal of inclusiveness: lessons from a worldwide survey of neurologists on the ethical issues raised by whole-genome sequencing","year":2017,"lang":"en","type":"article","venue":"BMC Medical Ethics","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research; Genome Canada","keywords":"Philosophy of medicine; Anticipation (artificial intelligence); Engineering ethics; Ethical issues; Personalized medicine; Bioethics; Precision medicine; Public relations; Political science; Medicine; Alternative medicine; Bioinformatics; Biology; Law; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.1079686,0.0003192194,0.0007711429,0.002819922,0.008017157,0.01180974,0.001614446,0.004781982,0.003254717],"category_scores_gemma":[0.1542631,0.0004999864,0.0003510912,0.002920895,0.01566365,0.01359722,0.01521769,0.006257469,0.000420542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003204525,"about_ca_system_score_gemma":0.01073494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005656274,"about_ca_topic_score_gemma":0.0088417,"domain_scores_codex":[0.9179532,0.06403416,0.00430708,0.002937798,0.005620225,0.005147494],"domain_scores_gemma":[0.7887359,0.1626431,0.01900973,0.006359703,0.01134018,0.01191135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001065811,0.0001126902,0.07568507,0.0004792485,0.00005431246,0.002126075,0.8067522,0.0001466101,0.0009427035,0.02624436,0.009761441,0.07758863],"study_design_scores_gemma":[0.00002468545,0.0001304231,0.04308602,0.001367276,0.00002581488,0.002042207,0.8767476,0.0003698249,0.000326563,0.02585882,0.04992283,0.00009788998],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.682116,0.006111485,0.008005817,0.2879138,0.0004175795,0.0001708334,0.00009219789,0.00003688987,0.01513542],"genre_scores_gemma":[0.9663408,0.002259835,0.00176985,0.02840337,0.000169319,0.0001676225,0.00003707944,0.00003200785,0.0008200702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1079686,"threshold_uncertainty_score":0.5709996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0720964704851392,"score_gpt":0.3744270552048746,"score_spread":0.3023305847197354,"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."}}