{"id":"W2113859811","doi":"10.1177/1747016113488858","title":"Public deliberation to develop ethical norms and inform policy for biobanks: Lessons learnt and challenges remaining","year":2013,"lang":"en","type":"article","venue":"Research Ethics","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Guelph","funders":"","keywords":"Deliberation; Biobank; Political science; Corporate governance; Engineering ethics; Public relations; Public engagement; Public policy; Law; Politics; Engineering; Management; Economics; Bioinformatics; Biology","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":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.361042,0.00166506,0.002510082,0.004974758,0.01462491,0.04847561,0.01044955,0.02481957,0.00893057],"category_scores_gemma":[0.2985592,0.001540084,0.002873162,0.005200539,0.08186033,0.06152256,0.02764588,0.03518219,0.002400205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02829796,"about_ca_system_score_gemma":0.106383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01298662,"about_ca_topic_score_gemma":0.01274093,"domain_scores_codex":[0.7242755,0.2338679,0.007121318,0.008393729,0.01405793,0.01228356],"domain_scores_gemma":[0.4757151,0.4526183,0.0116813,0.02417981,0.02334164,0.0124639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004423115,0.0001357779,0.001205525,0.0007865501,0.00005831099,0.0002796324,0.02677313,0.002168314,0.0000949995,0.8999659,0.02112182,0.04736576],"study_design_scores_gemma":[0.00003388929,0.00002356559,0.0002866851,0.002259805,0.0000138734,0.00006053831,0.01724531,0.001361789,0.0002032912,0.913806,0.06464946,0.00005580419],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.007155127,0.01614933,0.07756619,0.8620869,0.00217535,0.0004280023,0.00009502835,0.0001744813,0.03416964],"genre_scores_gemma":[0.569711,0.03371666,0.226538,0.1504518,0.003615447,0.003887802,0.0003842607,0.0005710842,0.01112382],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9751804,"threshold_uncertainty_score":0.787949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9344429354460383,"score_gpt":0.691832575104417,"score_spread":0.2426103603416213,"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."}}