{"id":"W4377564742","doi":"10.7554/elife.78335","title":"Gene and protein expression and metabolic flux analysis reveals metabolic scaling in liver ex vivo and in vivo","year":2023,"lang":"en","type":"article","venue":"eLife","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Yale Liver Center; National Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; Yale University; National Institutes of Health; National Cancer Institute; National Institute of General Medical Sciences; U.S. Public Health Service","keywords":"In vivo; Metabolic pathway; Biology; Metabolic flux analysis; Ex vivo; Flux (metallurgy); Proteomics; Gene expression; Transcriptome; Cytosol; Cell biology; Metabolomics; Gene expression profiling; Metabolism; Biochemistry; Chemistry; Gene; Enzyme; Bioinformatics; 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":[0.000328521,0.0002141549,0.0003503796,0.0005146923,0.0001811631,0.0004675542,0.0001763914,0.0003130739,0.0007179416],"category_scores_gemma":[0.0002584484,0.0002435283,0.0003237141,0.00053479,0.0004194283,0.0003691271,0.0002119452,0.0005576611,0.0002331934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000286238,"about_ca_system_score_gemma":0.00016397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000965135,"about_ca_topic_score_gemma":0.00133066,"domain_scores_codex":[0.9998043,0.00002428412,0.00001294592,0.00008375685,0.00004415549,0.00003059895],"domain_scores_gemma":[0.9998145,0.00005180008,0.00005373857,0.00002863554,0.00002954757,0.00002177015],"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":[0.000123824,0.00001069901,0.001939144,0.00002055138,0.00001028505,0.00002397474,0.00003038621,0.0002540204,0.9959894,0.0001948838,0.00003261911,0.001370129],"study_design_scores_gemma":[0.00002731828,0.0002522091,0.1790679,0.00001199044,0.00006371226,0.0003035892,0.0002397341,0.01381458,0.8020476,0.001093495,0.00304131,0.00003654824],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782636,0.0006073588,0.01865704,0.0001236265,0.00002027516,0.000007598945,0.001439038,0.00008245042,0.0007990366],"genre_scores_gemma":[0.9823349,0.000764535,0.01312293,0.0001242439,0.00001766356,0.00005692326,0.001683852,0.00008282065,0.001812192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000965135,"threshold_uncertainty_score":0.002401769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02196302173419003,"score_gpt":0.2858158676375631,"score_spread":0.263852845903373,"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."}}