{"id":"W4415943462","doi":"10.1177/19475535251390754","title":"Program of Genomic Reference and Biobank of the Argentinian Population: A National Initiative for Genomic Equity and Population-Based Research in Argentina","year":2025,"lang":"en","type":"article","venue":"Biopreservation and Biobanking","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance","funders":"","keywords":"Biobank; Metadata; Corporate governance; Public health; Compendium; Equity (law); Informatics; Population; Population health; Christian ministry","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":[],"consensus_categories":[],"category_scores_codex":[0.01032712,0.0004844125,0.000554795,0.001657843,0.001462079,0.002311245,0.001047707,0.000780681,0.007576144],"category_scores_gemma":[0.008384338,0.0002795212,0.0003594641,0.001944718,0.0008750703,0.001090687,0.003135076,0.001817766,0.001358108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003664194,"about_ca_system_score_gemma":0.01416908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03545342,"about_ca_topic_score_gemma":0.02187937,"domain_scores_codex":[0.9970438,0.001237188,0.0001360415,0.0004743718,0.0006987529,0.0004098391],"domain_scores_gemma":[0.9934579,0.001103238,0.0006471269,0.0006929783,0.002655552,0.001443255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001001668,0.0003014028,0.08760569,0.0009470453,0.0001051004,0.001419309,0.005727636,0.0007602179,0.006253737,0.04725174,0.3754653,0.4731612],"study_design_scores_gemma":[0.0001727066,0.0001402812,0.1280726,0.0005542598,0.00004723679,0.0007652952,0.001106982,0.000907224,0.00104178,0.003616438,0.8635442,0.0000309849],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2741467,0.04672018,0.1375027,0.1511474,0.009276292,0.007109704,0.08452369,0.003604155,0.2859692],"genre_scores_gemma":[0.4755703,0.02472661,0.2248331,0.02038972,0.00367839,0.009889937,0.08135707,0.001714631,0.1578403],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03545342,"threshold_uncertainty_score":0.07049412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1551010796004638,"score_gpt":0.4043262461217602,"score_spread":0.2492251665212964,"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."}}