{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003572605,0.0003012757,0.0003980928,0.0001189759,0.00008906293,0.00002742962,0.0005092213,0.0004347474,0.00009759779],"category_scores_gemma":[0.0003067074,0.0003422259,0.0001842406,0.000413581,0.0001727606,0.000006378465,0.0004218059,0.0005652229,0.0002149053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001974449,"about_ca_system_score_gemma":0.0005486417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000052207,"about_ca_topic_score_gemma":0.00002600911,"domain_scores_codex":[0.9971527,0.0004821125,0.0004781781,0.0008706388,0.0003143518,0.0007020617],"domain_scores_gemma":[0.9990225,0.00002188393,0.0001166397,0.0004312687,0.00009178265,0.0003159198],"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":[0.0002225859,0.00006579483,0.0001928336,0.00001928457,0.00005729531,0.00210433,0.0001627412,0.001195081,0.9896211,0.00003156122,0.004918112,0.001409289],"study_design_scores_gemma":[0.00110102,0.0007617016,0.00003901191,0.000004855158,0.00002273585,0.00003344482,0.00005264991,0.001401073,0.848531,0.00001311636,0.1477444,0.0002950349],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858142,0.00148958,0.007761385,0.001830109,0.0001667145,0.0004027045,0.00001171607,0.00003908278,0.002484469],"genre_scores_gemma":[0.9941272,0.0001209222,0.001701783,0.003008528,0.0002995456,0.00006043692,0.0002898932,0.00008778785,0.0003039222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1428263,"threshold_uncertainty_score":0.999903,"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."}}