{"id":"W4366992310","doi":"10.1016/j.tig.2023.04.001","title":"Biobanking and research quality: think locally, act globally","year":2023,"lang":"en","type":"article","venue":"Trends in Genetics","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Biobank; Biology; Corporate governance; Quality (philosophy); Data science; Engineering ethics; Bioinformatics; Business; Computer science; Engineering","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":["metaresearch"],"category_scores_codex":[0.3001907,0.001458717,0.004068014,0.003746528,0.01607513,0.04816072,0.005941852,0.03578577,0.01004472],"category_scores_gemma":[0.3139809,0.001913365,0.001982234,0.003562832,0.08213711,0.04796123,0.02789748,0.06721806,0.005203561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02031224,"about_ca_system_score_gemma":0.1165785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01106104,"about_ca_topic_score_gemma":0.0159846,"domain_scores_codex":[0.7458305,0.1925395,0.01005644,0.006828478,0.03479337,0.009951677],"domain_scores_gemma":[0.5100021,0.3058827,0.03144185,0.02081488,0.05832271,0.07353579],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001797184,0.0006008737,0.0161245,0.002706202,0.0007655885,0.0004796103,0.07777272,0.0009599709,0.001035651,0.3097222,0.4089177,0.1807352],"study_design_scores_gemma":[0.0001934241,0.0002244922,0.005353734,0.00728832,0.0003117895,0.0003199585,0.07432332,0.0008997603,0.0005126519,0.6057003,0.3046252,0.0002471557],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0009482846,0.004730619,0.00279005,0.9861899,0.001514529,0.00002826977,0.00001065999,0.00004218277,0.003745552],"genre_scores_gemma":[0.1568168,0.01827115,0.03043027,0.7751554,0.01091958,0.0006454815,0.00008887606,0.0007063514,0.006966085],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9642142,"threshold_uncertainty_score":0.8629894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7627135662500916,"score_gpt":0.6852536027037879,"score_spread":0.07745996354630369,"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."}}