{"id":"W3028102427","doi":"10.1080/23723556.2020.1761243","title":"Targeting neurolysin in acute myeloid leukemia","year":2020,"lang":"en","type":"article","venue":"Molecular & Cellular Oncology","topic":"Histone Deacetylase Inhibitors Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"Canadian Institutes of Health Research; Ontario Institute for Cancer Research; Princess Margaret Cancer Foundation","keywords":"Myeloid leukemia; Oxidative metabolism; In vivo; Myeloid; Oxidative phosphorylation; Cancer research; Leukemia; Respiratory chain; In vitro; Biology; Mitochondrion; Chemistry; Metabolism; Immunology; Cell biology; Biochemistry; 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":[0.0001147309,0.0002768998,0.0002232192,0.0001790012,0.0001131159,0.0002640183,0.0001708604,0.0002010402,0.0005405433],"category_scores_gemma":[0.00006133178,0.00009210352,0.0001193575,0.0001291554,0.0001683613,0.0001033855,0.0002186338,0.000397904,0.0002455352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000517162,"about_ca_system_score_gemma":0.0002153811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001004133,"about_ca_topic_score_gemma":0.002835676,"domain_scores_codex":[0.9999256,0.000009843756,0.000005274835,0.00001088259,0.0000298646,0.00001850968],"domain_scores_gemma":[0.999966,0.000004482249,0.000009780297,0.000002134762,0.000006085339,0.00001144473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001632054,0.00003021416,0.0003599958,0.00005053322,0.000008678042,0.0001460166,0.00001083323,0.0003831209,0.9926893,0.0001799598,0.0001434499,0.005834667],"study_design_scores_gemma":[0.00007089287,0.0007026797,0.002574106,0.000007229756,0.00002956884,0.0006716478,0.00002711361,0.001697494,0.9852458,0.0001195156,0.008846588,0.000007404847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847172,0.007089033,0.00431281,0.0004221356,0.0000472022,0.00008005777,0.0004222026,0.000162577,0.002746739],"genre_scores_gemma":[0.9882637,0.004966586,0.003449109,0.0001026879,0.000009932045,0.00002671416,0.0004412245,0.00001533944,0.002724768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001004133,"threshold_uncertainty_score":0.003752291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01088364580137089,"score_gpt":0.268028090341683,"score_spread":0.2571444445403121,"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."}}