{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002405647,0.0002596423,0.0003533335,0.0002851675,0.0000990468,0.0004802494,0.0001301121,0.0001956169,0.001579675],"category_scores_gemma":[0.0003168064,0.0001031017,0.0004598476,0.0003519739,0.0001041784,0.0001152315,0.0001954914,0.0002327348,0.0001921949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002435615,"about_ca_system_score_gemma":0.0002234438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002823312,"about_ca_topic_score_gemma":0.002135087,"domain_scores_codex":[0.9998868,0.00002858419,0.000006279322,0.00004273793,0.00002316773,0.00001243095],"domain_scores_gemma":[0.9998257,0.00006358697,0.0000531056,0.00002379323,0.00002278976,0.00001106887],"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":[0.003805019,0.0004187897,0.2944349,0.0004192657,0.001014977,0.000409188,0.0001160723,0.03924988,0.5979481,0.0009124329,0.0009405855,0.06033072],"study_design_scores_gemma":[0.00004423635,0.001532599,0.4139782,0.00003888187,0.0008328006,0.0006263963,0.0001905005,0.13708,0.439458,0.001206032,0.00495352,0.00005882202],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933434,0.0007159266,0.003605511,0.00005873028,0.000007180987,0.000009419644,0.0015987,0.00005781226,0.0006032377],"genre_scores_gemma":[0.9954085,0.000485087,0.002266977,0.00005090836,0.000002849028,0.000009399218,0.001239853,0.00001090965,0.0005254982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002823312,"threshold_uncertainty_score":0.005613744,"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."}}