{"id":"W3128306486","doi":"10.1016/j.aca.2021.338300","title":"High-coverage quantitative liver metabolomics using perfused and non-perfused liver tissues","year":2021,"lang":"en","type":"article","venue":"Analytica Chimica Acta","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta Hospital; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; State Key Laboratory for Diagnosis and Treatment of Infectious Diseases; Alberta Innovates; Zhejiang Province Public Welfare Technology Application Research Project; Canada Foundation for Innovation; National Natural Science Foundation of China; Sveriges Kommuner och Landsting; Canada Research Chairs; Zhejiang University; Canadian Institutes of Health Research; Genome Canada","keywords":"Metabolome; Metabolomics; Perfusion; Chemistry; Liver disease; Metabolite; Biochemistry; Internal medicine; Chromatography; Medicine","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":[0.0003579403,0.0006695093,0.0003559951,0.0003300325,0.000357788,0.0003706374,0.0002924544,0.0004563207,0.001593324],"category_scores_gemma":[0.000249717,0.0002588259,0.0003195897,0.0004130487,0.0003133606,0.0004810026,0.0003218091,0.0005819014,0.0004007214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002514065,"about_ca_system_score_gemma":0.0002875888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001056511,"about_ca_topic_score_gemma":0.001774447,"domain_scores_codex":[0.9998139,0.00003062631,0.000006959183,0.0000616965,0.00004838754,0.00003859065],"domain_scores_gemma":[0.9998919,0.00002960306,0.00001632546,0.00001765659,0.00002715887,0.0000173982],"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":[0.0001404463,0.000004511339,0.0000840178,0.00002103739,0.00000542889,0.0000199027,0.000007640266,0.00003480882,0.9990808,0.00004085663,0.00001993445,0.0005405743],"study_design_scores_gemma":[0.00001569512,0.0001763322,0.006023743,0.000005906171,0.00003642219,0.0003096282,0.0000328204,0.00136225,0.9902251,0.0001319579,0.001668126,0.0000119792],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8629699,0.005272266,0.1236029,0.0003119249,0.0001073641,0.0001262749,0.002207519,0.0006815344,0.004720263],"genre_scores_gemma":[0.9077464,0.003188869,0.07664522,0.0004045613,0.0000629357,0.0002995144,0.004952474,0.0004173754,0.006282632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001593324,"threshold_uncertainty_score":0.005330205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01925194372078586,"score_gpt":0.2646398440868654,"score_spread":0.2453879003660795,"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."}}