{"id":"W4309366118","doi":"10.1503/cmaj.221500","title":"Sharing genomic data for health research: institutional trust and trustworthiness, and informed consent","year":2022,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Wellcome Trust","keywords":"Trustworthiness; Informed consent; Research ethics; Computer science; Data sharing; Genetic data; Biobank; Data collection; Data science; Key (lock); Internet privacy; Medicine; Bioinformatics; World Wide Web; Alternative medicine; Biology; Psychiatry; Pathology; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.07817047,0.0005870862,0.0017378,0.0009575416,0.007749932,0.008706362,0.004065578,0.06139315,0.01889511],"category_scores_gemma":[0.2783947,0.001382569,0.001536731,0.001381165,0.01650853,0.01513361,0.009089971,0.06044748,0.01299229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008496483,"about_ca_system_score_gemma":0.04099299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00946577,"about_ca_topic_score_gemma":0.01510676,"domain_scores_codex":[0.9015812,0.06397601,0.009037711,0.004486425,0.01532867,0.00558998],"domain_scores_gemma":[0.7330459,0.1903203,0.008966377,0.02021274,0.0252638,0.02219087],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009335999,0.00004122775,0.0009962413,0.0001660897,0.00002393628,0.002505543,0.001831215,0.00009329653,0.0003555246,0.04809216,0.9203057,0.02549554],"study_design_scores_gemma":[0.0001586132,0.0001237242,0.001341095,0.001560685,0.00002694998,0.004676485,0.002225599,0.0009147155,0.0003326354,0.1131616,0.8753223,0.0001556587],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004409679,0.0008506723,0.001338009,0.9845718,0.004051685,0.0001077601,0.00006150701,0.00002796774,0.008549629],"genre_scores_gemma":[0.0173641,0.00157927,0.003893588,0.9597622,0.0091167,0.0004370729,0.0001413693,0.0000713706,0.007634367],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9386069,"threshold_uncertainty_score":0.4134099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6198467314246675,"score_gpt":0.5635284768211806,"score_spread":0.05631825460348694,"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."}}