{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007814432,0.0001659622,0.001735782,0.000643497,0.00003799022,0.00000415051,0.0004411578,0.0008851377,0.00004615435],"category_scores_gemma":[0.01978409,0.0001235194,0.0005168808,0.0003057286,0.001148951,0.00007789195,0.0001346104,0.00196181,1.505614e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004038387,"about_ca_system_score_gemma":0.001149484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007503415,"about_ca_topic_score_gemma":0.00006864931,"domain_scores_codex":[0.9943114,0.0002015012,0.002103402,0.0002150275,0.002872585,0.0002961085],"domain_scores_gemma":[0.9733726,0.02312163,0.001478904,0.0003372491,0.001083511,0.0006061175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01895126,0.008755995,0.4360713,0.05636339,0.02414835,0.008446178,0.007249747,0.001456353,0.3678377,0.00225924,0.0004926162,0.06796791],"study_design_scores_gemma":[0.01456411,0.008590968,0.7566141,0.01236265,0.005208656,0.002453153,0.0001584264,0.01643734,0.1790045,0.004269117,0.000004247162,0.000332725],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948364,0.0007632874,0.00287625,0.001001412,0.0001557705,0.000299161,0.00003712014,0.000002953115,0.00002757818],"genre_scores_gemma":[0.9930975,0.005025628,0.001572992,0.0001527662,0.0001170801,0.000001799359,0.000009032103,0.00001827548,0.000004937411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3205428,"threshold_uncertainty_score":0.9884727,"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."}}