{"id":"W4281770660","doi":"10.1016/j.cmet.2022.05.006","title":"Biting into a union of oncology and metabolism through leukemic stem cells","year":2022,"lang":"en","type":"letter","venue":"Cell Metabolism","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Canadian Cancer Society","keywords":"Myeloid leukemia; Stem cell; Cancer research; Leukemia; Metabolism; Biology; Medicine; Immunology; Cell biology; Endocrinology","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.001396405,0.000813283,0.002712621,0.0008256474,0.0002501195,0.00004227987,0.0007237975,0.00153249,0.0009752937],"category_scores_gemma":[0.00007986736,0.0007461839,0.0004630483,0.0008696858,0.0005701375,0.0001949788,0.001141955,0.00653184,0.00008206466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008932952,"about_ca_system_score_gemma":0.002029714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001247901,"about_ca_topic_score_gemma":0.000004769483,"domain_scores_codex":[0.9937097,0.001337867,0.001211601,0.001269128,0.001346112,0.001125594],"domain_scores_gemma":[0.9964734,0.0007677799,0.0008721687,0.001301758,0.0003461578,0.0002387756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000202571,0.0001368817,0.00001525358,0.002498703,0.000499205,0.001543461,0.003547947,0.000007353953,0.1236524,0.0002294297,0.8464178,0.02124902],"study_design_scores_gemma":[0.003664942,0.0002265717,0.0000563077,0.00009466357,0.001258783,0.0002251564,0.0007581778,0.00005955873,0.053787,0.0003263222,0.9390163,0.0005262409],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.2803318,0.1532075,0.0006536908,0.4858067,0.008783657,0.007102546,0.000699395,0.0006365519,0.06277817],"genre_scores_gemma":[0.02598552,0.03960026,0.02233803,0.7943646,0.02281052,0.001006925,0.001802614,0.001443002,0.09064856],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3085578,"threshold_uncertainty_score":0.999938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02744873713776395,"score_gpt":0.2931577327130777,"score_spread":0.2657089955753137,"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."}}