{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007655456,0.00008233391,0.0001194797,0.0000952932,0.000159866,0.00002980226,0.0001139023,0.000123758,0.000002155008],"category_scores_gemma":[0.0001321145,0.00007139026,0.00003508393,0.0001713166,0.0001470881,0.000007936287,0.0002481148,0.00006493692,3.693019e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002308531,"about_ca_system_score_gemma":0.000111263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001876756,"about_ca_topic_score_gemma":0.0003177917,"domain_scores_codex":[0.9990853,0.0000832594,0.0002835562,0.0002537048,0.0001563948,0.0001377743],"domain_scores_gemma":[0.9994271,0.00004707935,0.0001350018,0.0001335315,0.0002359714,0.00002126074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007998713,0.00006553873,0.8559664,0.0001945783,0.00002216769,2.833997e-8,0.0001208947,0.00002670831,0.1368067,0.002868618,0.00006162123,0.003786667],"study_design_scores_gemma":[0.00057615,0.00008103169,0.9836692,0.00005703667,0.000008434936,2.461766e-7,0.0001086784,0.001518107,0.009522054,0.003205427,0.001181203,0.00007246008],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978742,0.0007235839,0.00009788935,0.0004200842,0.00005511686,0.0005713617,0.00005695511,0.00000342101,0.000197378],"genre_scores_gemma":[0.9978881,0.0001660624,0.001549679,0.0001024181,0.00004072942,0.00004078203,0.0001648451,0.000005329338,0.00004209529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1277027,"threshold_uncertainty_score":0.291121,"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."}}