{"id":"W2728303430","doi":"10.1002/pmic.201700053","title":"Features of lineage‐specific hematopoietic metabolism revealed by mitochondrial proteomics","year":2017,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Centre","funders":"Seventh Framework Programme; Blood Cancer UK; Medical Research Council; Bloodwise","keywords":"Biology; Proteomics; Mitochondrion; Cell biology; Myelopoiesis; Metabolome; Stem cell; Oxidative phosphorylation; Progenitor cell; Stable isotope labeling by amino acids in cell culture; Cellular differentiation; Hematopoietic stem cell; Haematopoiesis; Erythropoiesis; Biochemistry; Metabolite; Gene","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":[0.000122174,0.0001771469,0.0001095361,0.0005025901,0.0001327954,0.0002605869,0.0001091384,0.0001789024,0.0009790559],"category_scores_gemma":[0.0001378213,0.00009917684,0.0001225947,0.000418102,0.0001252138,0.0001591571,0.0002328429,0.0001936025,0.0003739603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009113098,"about_ca_system_score_gemma":0.0001083012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003861249,"about_ca_topic_score_gemma":0.0005487352,"domain_scores_codex":[0.9999269,0.000006515933,0.000005755503,0.0000257097,0.00001737612,0.00001776003],"domain_scores_gemma":[0.9999317,0.00001050835,0.00002053354,0.000008080947,0.00001386414,0.00001535452],"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":[0.00008890519,0.000004547144,0.001792347,0.0000313259,0.000007378963,0.00007217375,0.00001850137,0.00002764322,0.9956968,0.00007202811,0.00004972853,0.002138703],"study_design_scores_gemma":[0.00001375183,0.0001872036,0.2031113,0.00001728713,0.00007183825,0.002345245,0.0001195234,0.001263635,0.7868167,0.0005742384,0.005460727,0.00001850411],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846491,0.002784264,0.007457314,0.0001532965,0.00001281547,0.00001878943,0.002924202,0.0000906086,0.001909688],"genre_scores_gemma":[0.9860378,0.002263684,0.006371045,0.0001148907,0.00001024302,0.00002381932,0.003498447,0.00004149218,0.001638521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009790559,"threshold_uncertainty_score":0.003275275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009945957519170502,"score_gpt":0.2507031001605251,"score_spread":0.2407571426413546,"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."}}