{"id":"W2948783018","doi":"10.5694/mja2.50219","title":"Inclusion of Indigenous Australians in biobanks: a step to reducing inequity in health care","year":2019,"lang":"en","type":"article","venue":"The Medical Journal of Australia","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biobank; Indigenous; Inclusion (mineral); Health equity; Health care; Medicine; Political science; Environmental health; Sociology; Social science; Law; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01579248,0.0001409389,0.0007824198,0.0004415971,0.0000548755,0.000009422658,0.0007909801,0.0004082595,0.0006205355],"category_scores_gemma":[0.008649097,0.00008844584,0.0001413305,0.0007959188,0.0002332721,0.00006002232,0.0005971198,0.004324495,0.00003013453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006206142,"about_ca_system_score_gemma":0.002577493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004558157,"about_ca_topic_score_gemma":0.002422619,"domain_scores_codex":[0.9939337,0.0004957485,0.001839736,0.0002133912,0.002965993,0.0005513664],"domain_scores_gemma":[0.9962497,0.001786322,0.000456982,0.0004328847,0.0004072586,0.0006668189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007076016,0.002976966,0.7305802,0.008254564,0.0002630015,0.003529859,0.1625006,0.0006375288,0.01272152,0.001896215,0.003491159,0.06607237],"study_design_scores_gemma":[0.00946051,0.01165138,0.9313455,0.02631893,0.00005766294,0.0006603257,0.01095436,0.00005738921,0.003373312,0.003518383,0.002258002,0.000344227],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673527,0.000297526,0.00002239659,0.03131311,0.0003327953,0.0005609933,0.000004909638,0.000003942498,0.0001115549],"genre_scores_gemma":[0.9972318,0.0002791671,0.0008698364,0.0008278771,0.0002027679,0.000002036242,0.000001788416,0.00001506223,0.0005697052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2007654,"threshold_uncertainty_score":0.9997015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2753601885478938,"score_gpt":0.57533263012413,"score_spread":0.2999724415762362,"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."}}