{"id":"W4392286088","doi":"10.1111/trf.17749","title":"Estimated median density identifies donor age and sex differences in <scp>red blood cell</scp> biological age","year":2024,"lang":"en","type":"article","venue":"Transfusion","topic":"Blood transfusion and management","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Canadian Blood Services","funders":"Health Canada; Canadian Blood Services; Australian Government","keywords":"Percoll; Biological age; Mean corpuscular hemoglobin concentration; Age groups; Mean corpuscular hemoglobin; Red blood cell; Hemoglobin; Erythropoiesis; Medicine; Physiology; Biology; Immunology; Internal medicine; Anemia; Mean corpuscular volume; Gerontology; Demography","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":[0.0002682036,0.0002391854,0.0004226103,0.0002624636,0.00008582413,0.0000756842,0.00009214363,0.0001931118,0.0001213704],"category_scores_gemma":[0.0000347902,0.000174439,0.00009544205,0.0003357484,0.000147998,0.00007346807,0.00004160578,0.0003353971,0.00002250448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001470497,"about_ca_system_score_gemma":0.00002270003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003657668,"about_ca_topic_score_gemma":0.001044509,"domain_scores_codex":[0.9985064,0.00007909737,0.0003125712,0.0005289101,0.0002561636,0.0003168052],"domain_scores_gemma":[0.9994004,0.0001925136,0.00001745451,0.0001883536,0.00001580555,0.0001854064],"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":[0.0001291329,0.001655837,0.09689504,0.002172887,0.0002690851,0.01607971,0.01375258,0.000002062782,0.8264872,0.0005463305,0.001483752,0.04052636],"study_design_scores_gemma":[0.005139227,0.0007863446,0.9104614,0.0009627783,0.0006925763,0.0001233964,0.002114719,0.0008923591,0.07501166,0.001227055,0.002335289,0.0002531928],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993482,0.001445601,0.0003445157,0.0009731763,0.0003138602,0.0007087162,0.000008829229,0.0003068912,0.002416388],"genre_scores_gemma":[0.9889323,0.0089197,0.0003354928,0.0002203665,0.00005660403,0.00003030965,0.00005360328,0.00002034469,0.001431263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8135664,"threshold_uncertainty_score":0.7113417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03348673680832513,"score_gpt":0.2599402473135732,"score_spread":0.2264535105052481,"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."}}