{"id":"W4299958799","doi":"10.17615/nkba-1021","title":"The Challenge of Informed Consent and Return of Results in Translational Genomics: Empirical Analysis and Recommendations","year":2020,"lang":"en","type":"article","venue":"UNC Libraries","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; Genome Canada","keywords":"Informed consent; Genomics; Computational biology; Psychology; Medicine; Biology; Genetics; Alternative medicine; Genome; Gene; 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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.709848,0.001501337,0.002841267,0.008261282,0.01627365,0.03567427,0.009722703,0.0211814,0.007045635],"category_scores_gemma":[0.840425,0.002097811,0.002498828,0.01088843,0.06351594,0.06486463,0.02060077,0.02553527,0.001708162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03422659,"about_ca_system_score_gemma":0.1730014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03365814,"about_ca_topic_score_gemma":0.04457533,"domain_scores_codex":[0.1723051,0.7475232,0.03402091,0.008549635,0.02951623,0.008084861],"domain_scores_gemma":[0.03728206,0.9009237,0.01287727,0.01555652,0.02827562,0.00508474],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0005742602,0.0006102777,0.03296324,0.009409948,0.0003761537,0.001294482,0.158033,0.001353449,0.0004256522,0.3662942,0.1309398,0.2977255],"study_design_scores_gemma":[0.0004985235,0.000296158,0.01189947,0.07203065,0.0004610053,0.0008322878,0.3306779,0.003341465,0.001023606,0.448967,0.1291978,0.0007741136],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01642198,0.009996157,0.01017226,0.9513287,0.0009770492,0.001399589,0.0002324623,0.00006336573,0.009408436],"genre_scores_gemma":[0.5433772,0.02716965,0.1093185,0.3025525,0.001700721,0.0119124,0.0005496441,0.0002642447,0.003155072],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.290152,"threshold_uncertainty_score":0.3578091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07866671720153968,"score_gpt":0.324144765405356,"score_spread":0.2454780482038164,"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."}}