{"id":"W4413637702","doi":"10.1182/blood.2025029132","title":"Plasma lipid levels predict chemotherapy response and survival in acute myeloid leukemia","year":2025,"lang":"en","type":"article","venue":"Blood","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Princess Margaret Cancer Centre; University of Toronto","funders":"National Cancer Institute; National Institutes of Health; Cancer Center, University of Colorado; Leukemia and Lymphoma Society; Princess Margaret Cancer Foundation; Rally Foundation; V Foundation for Cancer Research; Elsa U. Pardee Foundation","keywords":"Myeloid leukemia; Oncology; Internal medicine; Metabolome; Medicine; Proportional hazards model; Metabolomics; Biomarker; Chemotherapy regimen; Leukemia; Survival analysis; Chemotherapy; Bioinformatics; Biology; Immunology; Metabolite; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004448267,0.0002683572,0.0001895256,0.0003864047,0.000125815,0.0004344924,0.00009392897,0.0002656073,0.0009931783],"category_scores_gemma":[0.001446167,0.00008485893,0.0001187415,0.0003689229,0.00009860699,0.0002200191,0.000260976,0.0003661544,0.0002639528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001870212,"about_ca_system_score_gemma":0.0001777253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004567099,"about_ca_topic_score_gemma":0.0005753965,"domain_scores_codex":[0.9998763,0.00004153081,0.00001684268,0.00002320328,0.00002716736,0.00001497797],"domain_scores_gemma":[0.9995623,0.0001412166,0.0001622864,0.0000285556,0.00005198226,0.00005361047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001640869,0.0001195415,0.9680547,0.00003041964,0.0001086488,0.00007640951,0.00003047978,0.0009234998,0.01056174,0.00004833867,0.00027819,0.01812721],"study_design_scores_gemma":[0.00005150627,0.0004190892,0.9824171,0.00001568819,0.0001079326,0.0003504775,0.00006773252,0.007887362,0.007454504,0.0003408269,0.0008784465,0.000009372263],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981292,0.0004744011,0.0006227084,0.000106277,0.000006991417,0.000009413823,0.000366158,0.0000140204,0.0002707943],"genre_scores_gemma":[0.998787,0.0001109869,0.0004903743,0.00002786646,0.000007030657,0.000005841051,0.0004072208,0.000002107975,0.0001615736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009931783,"threshold_uncertainty_score":0.003322542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01599866267874344,"score_gpt":0.2927296980633389,"score_spread":0.2767310353845955,"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."}}