{"id":"W4214926743","doi":"10.1101/2022.03.02.482685","title":"Gene Expression and Tracer-Based Metabolic Flux Analysis Reveals Tissue-Specific Metabolic Scaling <i>in vitro, ex vivo</i> , and <i>in vivo</i>","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Yale Liver Center; U.S. Public Health Service; Yale University","keywords":"Metabolic pathway; Flux (metallurgy); Metabolic flux analysis; In vivo; Biology; Ex vivo; Gene expression; Cell biology; Cytosol; Oxidative phosphorylation; Transcriptome; Scaling; Mitochondrion; Metabolism; Biochemistry; Gene; Chemistry; Enzyme; Genetics","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":[0.0003360627,0.0002336161,0.0002582678,0.0003181536,0.0001380415,0.0004413724,0.0002009538,0.0002780453,0.0007728895],"category_scores_gemma":[0.0002293044,0.0001725276,0.00026851,0.0003168777,0.0005251419,0.000261876,0.0001756617,0.0005004835,0.0002581841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003957568,"about_ca_system_score_gemma":0.0001839623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009381723,"about_ca_topic_score_gemma":0.0008909366,"domain_scores_codex":[0.9998291,0.00003382118,0.00001021198,0.00006371527,0.0000424283,0.00002067642],"domain_scores_gemma":[0.9998655,0.00005205057,0.00003382225,0.00001930226,0.00001644874,0.00001282418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0000386455,0.000006815183,0.0003158682,0.00001288798,0.000002748124,0.000008713195,0.00001116367,0.0001672839,0.998704,0.000145187,0.00001924275,0.0005673295],"study_design_scores_gemma":[0.000008212788,0.00009302205,0.01373262,0.000003622224,0.00001229253,0.00007384225,0.00004507816,0.005081696,0.9794525,0.0002466129,0.001239599,0.00001094521],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9658288,0.0006869195,0.03046918,0.0001509389,0.00003824226,0.00001902642,0.001324036,0.0001326947,0.001350073],"genre_scores_gemma":[0.9724291,0.0007088182,0.02177495,0.0001036102,0.00002246561,0.00006576045,0.001857423,0.0001293833,0.002908464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009381723,"threshold_uncertainty_score":0.002871454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01699473424727891,"score_gpt":0.2480097614712145,"score_spread":0.2310150272239356,"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."}}