{"id":"W2333249266","doi":"10.1615/jlongtermeffmedimplants.v18.i1.150","title":"Abstract of \"An Ethical Analysis of Emerging Models of Consent for Genomics and Biobanking\"","year":2008,"lang":"en","type":"article","venue":"Journal of Long-Term Effects of Medical Implants","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Biobank; Informed consent; Dignity; Engineering ethics; Autonomy; Bioethics; Philosophy of medicine; Population; Research ethics; Psychology; Political science; Medicine; Public relations; Law; Alternative medicine; Pathology; Engineering; Bioinformatics","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":[0.05885686,0.0007643342,0.0006293635,0.002464607,0.008700332,0.01214064,0.003213031,0.01177327,0.005795079],"category_scores_gemma":[0.07702187,0.0005136634,0.001283311,0.00236989,0.04360769,0.01281932,0.006378984,0.01545593,0.001212335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0110378,"about_ca_system_score_gemma":0.01650636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003771357,"about_ca_topic_score_gemma":0.002862401,"domain_scores_codex":[0.9345278,0.04901164,0.002171683,0.002723952,0.009915451,0.001649555],"domain_scores_gemma":[0.9260041,0.05979292,0.002651773,0.003715126,0.006842102,0.0009940702],"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":[0.000002343481,0.000001761646,0.00002016678,0.00001528589,7.628293e-7,0.00002452987,0.0008674627,0.00005197205,0.000007679305,0.9954953,0.002280121,0.001232507],"study_design_scores_gemma":[0.000009902695,0.0000149443,0.0001054354,0.0004704186,0.000007885696,0.0002140426,0.001343902,0.0009622652,0.0001228046,0.8938313,0.102899,0.00001810367],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.008842209,0.01290631,0.245164,0.3370475,0.005290924,0.0006917108,0.0002905799,0.0001340206,0.3896327],"genre_scores_gemma":[0.6420708,0.01339129,0.1322664,0.1184104,0.006412363,0.003662063,0.0004439478,0.0003177618,0.08302499],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05885686,"threshold_uncertainty_score":0.3112686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2849989296190282,"score_gpt":0.5416589387686563,"score_spread":0.2566600091496282,"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."}}