{"id":"W4407511940","doi":"10.1182/blood.2024027136","title":"QTLs unlock RBC storage hemolysis secrets","year":2025,"lang":"en","type":"letter","venue":"Blood","topic":"Advanced Glycation End Products research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Ottawa Mental Health Centre","funders":"","keywords":"Hemolysis; Biology; Medicine; Chemistry; Immunology","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":[0.001387459,0.0004519814,0.0004932186,0.0001997181,0.0006580477,0.001233482,0.0004949825,0.006922813,0.004468011],"category_scores_gemma":[0.004619354,0.0002519037,0.0004208321,0.0001560469,0.001156579,0.0008387124,0.0007303342,0.008046091,0.001860004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007819337,"about_ca_system_score_gemma":0.0005182069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009544216,"about_ca_topic_score_gemma":0.00136848,"domain_scores_codex":[0.9994759,0.0001003464,0.00003809643,0.00009518073,0.0001975588,0.00009298412],"domain_scores_gemma":[0.9979122,0.001286855,0.0001503198,0.0001797484,0.0002328126,0.0002380178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002028155,0.0001682084,0.003616932,0.0001723199,0.0001017115,0.01101057,0.000362459,0.0005212309,0.09476426,0.03015806,0.7305425,0.1265536],"study_design_scores_gemma":[0.0007865875,0.000359664,0.006199949,0.00009928744,0.00009771728,0.005328897,0.0003917257,0.002712846,0.02269789,0.04259694,0.9186294,0.00009903542],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02427527,0.007305845,0.008915395,0.8829059,0.05876404,0.00004177972,0.0004613587,0.0009065586,0.01642392],"genre_scores_gemma":[0.2089529,0.006191524,0.005826094,0.6774454,0.05692795,0.0001165763,0.0003079427,0.0003053861,0.04392628],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.006922813,"threshold_uncertainty_score":0.01494706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01078355525185559,"score_gpt":0.2752971613059492,"score_spread":0.2645136060540936,"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."}}