{"id":"W2000977557","doi":"10.1038/ejhg.2014.108","title":"To disclose, or not to disclose? Context matters","year":2014,"lang":"en","type":"article","venue":"European Journal of Human Genetics","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"Canadian Institutes of Health Research; Terry Fox Foundation; Fonds de Recherche du Québec - Santé; Genome Canada","keywords":"Context (archaeology); Multidisciplinary approach; Genetic testing; Scope (computer science); Corporate governance; Psychology; Health care; Engineering ethics; Medicine; Political science; Sociology; Computer science; Business; Biology; Social science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003750006,0.0001898542,0.0002046108,0.0000898774,0.0001087722,0.00008045117,0.0005338195,0.00002553978,0.0000545847],"category_scores_gemma":[0.00007950493,0.0001455523,0.0001507181,0.00005946865,0.00004518373,0.000002674452,0.0002358197,0.00009129285,0.0001068588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001241059,"about_ca_system_score_gemma":0.00004256941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001151132,"about_ca_topic_score_gemma":0.00001763928,"domain_scores_codex":[0.9986651,0.0002001979,0.0004573344,0.0002335514,0.0001854324,0.0002584108],"domain_scores_gemma":[0.9988488,0.00001061347,0.0001843637,0.0003752935,0.0001509792,0.0004299264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00060455,0.000169616,0.0009063866,0.00002768764,0.0001385556,0.0001821097,0.0006771793,0.0007409445,0.8836955,0.00009337231,0.09177651,0.02098762],"study_design_scores_gemma":[0.001815331,0.00644739,0.06720857,0.0001152294,0.0001172677,0.000219784,0.0005896222,0.000009292705,0.1032784,0.00005036813,0.8194251,0.0007236879],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947553,0.0001775829,0.002441708,0.001152965,0.0003063339,0.0001226025,0.0000269051,0.000004451129,0.001012156],"genre_scores_gemma":[0.988974,0.00003942315,0.001447385,0.00704204,0.0009628891,8.476104e-7,0.00001451803,0.00006392819,0.001454969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7804171,"threshold_uncertainty_score":0.5935451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01576168851876546,"score_gpt":0.2618410644240294,"score_spread":0.2460793759052639,"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."}}