{"id":"W3080740053","doi":"10.1111/trf.16017","title":"Donor‐dependent aging of young and old red blood cell subpopulations: Metabolic and functional heterogeneity","year":2020,"lang":"en","type":"article","venue":"Transfusion","topic":"Erythrocyte Function and Pathophysiology","field":"Medicine","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Canadian Blood Services","funders":"National Institute of General Medical Sciences; National Heart, Lung, and Blood Institute; Canadian Blood Services","keywords":"Hemolysis; Hemoglobin; Red blood cell; Echinocyte; Oxidative stress; Mean corpuscular hemoglobin concentration; Andrology; Reactive oxygen species; Biology; Internal medicine; Endocrinology; Immunology; Mean corpuscular volume; Biochemistry; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00006742476,0.00009875133,0.000229903,0.00005191842,0.00007059678,0.000004736612,0.0000157567,0.0000691165,0.0001265487],"category_scores_gemma":[0.00001132037,0.0000871899,0.00005065394,0.00009868504,0.0000415922,0.00005143591,0.00001525446,0.0001182436,0.000002607806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003554164,"about_ca_system_score_gemma":0.00001551559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009462485,"about_ca_topic_score_gemma":0.0000471325,"domain_scores_codex":[0.9993052,0.00004235928,0.0001943641,0.0002361522,0.0001257726,0.00009611539],"domain_scores_gemma":[0.9996874,0.00002050347,0.0000414294,0.00009101452,0.00004266254,0.0001170177],"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":[0.000397357,0.0000931785,0.1551968,0.0001748142,0.00004263839,0.000006551725,0.0005286972,0.0000205417,0.8422984,0.00009871595,0.00003007852,0.001112199],"study_design_scores_gemma":[0.00484148,0.0005293456,0.8490219,0.00003789179,0.0004439109,0.0001067867,0.0001388988,0.0006313031,0.1434616,0.00005222052,0.0005944373,0.0001401877],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964343,0.00131187,0.0007801638,0.000819639,0.0001330547,0.0002079253,0.000009633829,0.00003659183,0.0002667645],"genre_scores_gemma":[0.997243,0.001729202,0.0002980462,0.000455992,0.0001166242,0.000005520254,0.00003608894,0.00001045427,0.0001049999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6988368,"threshold_uncertainty_score":0.3555501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02758584330224962,"score_gpt":0.2432922768937602,"score_spread":0.2157064335915105,"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."}}