{"id":"W3018690985","doi":"10.3389/fpubh.2020.00111","title":"Indigenous Genomic Databases: Pragmatic Considerations and Cultural Contexts","year":2020,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia; University of British Columbia; BC Cancer Agency","funders":"","keywords":"Indigenous; Public health; Perspective (graphical); Front (military); Political science; Data science; Public relations; Medicine; Geography; Computer science; Biology; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.1484198,0.0003653766,0.0008593132,0.003259034,0.0115662,0.02094544,0.006758452,0.006130897,0.010493],"category_scores_gemma":[0.1968829,0.0008451081,0.0007425662,0.003638683,0.02387719,0.02033013,0.0235183,0.008361209,0.00139799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01030763,"about_ca_system_score_gemma":0.03656514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03768761,"about_ca_topic_score_gemma":0.04848212,"domain_scores_codex":[0.8700522,0.1021992,0.006015075,0.005285433,0.01189481,0.004553307],"domain_scores_gemma":[0.7379829,0.2073216,0.00734709,0.01611224,0.01692934,0.01430674],"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":[0.0001723717,0.00017045,0.009055912,0.00177667,0.0001156216,0.002808144,0.09301363,0.0007380641,0.0008987573,0.7214103,0.03502553,0.1348146],"study_design_scores_gemma":[0.00009372205,0.000117516,0.004558379,0.004166041,0.00008990918,0.003087132,0.1346925,0.001270512,0.0007118815,0.4244711,0.4266008,0.0001406564],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03726481,0.008904646,0.04396505,0.8065804,0.001570076,0.000680446,0.0006130179,0.0002105589,0.100211],"genre_scores_gemma":[0.7052717,0.01166381,0.1201064,0.1447767,0.002553595,0.001984745,0.0008034941,0.000507749,0.01233187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9884338,"threshold_uncertainty_score":0.7849282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02911462815053318,"score_gpt":0.2873320631513497,"score_spread":0.2582174350008165,"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."}}