{"id":"W3062166765","doi":"10.1101/2020.08.17.20176891","title":"Blood donor exposome and impact of common drugs on red blood cell metabolism","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Erythrocyte Function and Pathophysiology","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health; Boettcher Foundation","keywords":"Exposome; Pharmacology; Drug; Red blood cell; Drug metabolism; Metabolome; Medicine; Metabolism; Biology; Bioinformatics; Computational biology; Metabolomics; Biochemistry; Pathology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001796306,0.0004115258,0.00126594,0.0002033914,0.00004099249,0.00001227046,0.0001692385,0.0004128458,0.0002978555],"category_scores_gemma":[0.00009058736,0.0003214203,0.0004357872,0.0001521324,0.0001202,0.00002259639,0.0003039537,0.0009762399,0.00003458993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001786407,"about_ca_system_score_gemma":0.0001646954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001227886,"about_ca_topic_score_gemma":0.000002771348,"domain_scores_codex":[0.9981285,0.0001881758,0.0005157873,0.000636749,0.000263762,0.000267079],"domain_scores_gemma":[0.9983437,0.0001359306,0.000357134,0.000752578,0.00009788375,0.0003127856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002630242,0.002528379,0.06885998,0.002587545,0.00197704,0.0003350686,0.002727522,0.00006785027,0.9146734,0.000180644,0.002503468,0.0009288948],"study_design_scores_gemma":[0.0133386,0.005565052,0.705331,0.0007596096,0.004993737,0.0001377204,0.000183074,0.0001879825,0.2639607,0.001591281,0.00299604,0.0009551979],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992347,0.001473242,0.000004457659,0.0008079657,0.0005780905,0.0005502747,0.00009901938,0.00009643539,0.004043488],"genre_scores_gemma":[0.9966066,0.001258969,0.0003102037,0.0005793081,0.0005523317,0.0000342901,0.0001640669,0.00005726856,0.0004369117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6507127,"threshold_uncertainty_score":0.9999238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02357880708083844,"score_gpt":0.2772796104180881,"score_spread":0.2537008033372497,"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."}}