{"id":"W4400130074","doi":"10.1089/bio.2024.0032","title":"Incorporating Equity, Diversity and Inclusion in a Canadian Biobank","year":2024,"lang":"en","type":"article","venue":"Biopreservation and Biobanking","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biobank; Equity (law); Diversity (politics); Inclusion (mineral); Biology; Political science; Psychology; Bioinformatics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.1412504,0.0006329833,0.0007525926,0.005833157,0.03948482,0.02297462,0.004708088,0.005302179,0.005123637],"category_scores_gemma":[0.08716525,0.001174132,0.001160651,0.006258836,0.01570544,0.01092715,0.02283107,0.008477901,0.0005753795],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2028532,"about_ca_system_score_gemma":0.6620825,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9015046,"about_ca_topic_score_gemma":0.951461,"domain_scores_codex":[0.9061713,0.03556618,0.003816548,0.004631135,0.03007988,0.01973497],"domain_scores_gemma":[0.9177548,0.01953588,0.003753842,0.005145663,0.02340266,0.03040717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001103486,0.0002489185,0.0246497,0.0005945013,0.00006809219,0.001015525,0.06918929,0.002532662,0.001313546,0.5778381,0.07922059,0.2432187],"study_design_scores_gemma":[0.00007563838,0.000150807,0.03245914,0.001658223,0.00007346577,0.000274684,0.04872291,0.002401245,0.001067142,0.1151169,0.7976294,0.0003705132],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.09056433,0.006753921,0.07066402,0.4445044,0.00251915,0.009086143,0.001432441,0.0003326903,0.3741429],"genre_scores_gemma":[0.6737276,0.004729897,0.206472,0.04999441,0.0005039871,0.003951928,0.0009632445,0.000183454,0.05947346],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9952919,"threshold_uncertainty_score":0.9245773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4512969514029773,"score_gpt":0.5229413445259967,"score_spread":0.0716443931230194,"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."}}