{"id":"W2801003877","doi":"10.1021/acs.jproteome.7b00887","title":"Impact of Oxygen Concentration on Metabolic Profile of Human Placenta-Derived Mesenchymal Stem Cells As Determined by Chemical Isotope Labeling LC–MS","year":2018,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Zhejiang University; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Metabolome; Metabolomics; Metabolite; Chemistry; Hypoxia (environmental); Flow cytometry; Cell culture; Mesenchymal stem cell; Placenta; Metabolism; Biology; Biochemistry; Oxygen; Molecular biology; Chromatography; Cell biology; Fetus","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":[0.0003330996,0.0003167895,0.000238333,0.0004248206,0.0001764643,0.0004593221,0.0001387422,0.0002012901,0.0004785684],"category_scores_gemma":[0.0004187711,0.0001470373,0.0002273551,0.0003355422,0.0001973419,0.0001820193,0.0002235888,0.0002541811,0.0001909036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002249305,"about_ca_system_score_gemma":0.0003521308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001257017,"about_ca_topic_score_gemma":0.001560434,"domain_scores_codex":[0.9996864,0.00004888473,0.0000208021,0.00008298161,0.000130668,0.00003031573],"domain_scores_gemma":[0.9998498,0.0000418536,0.00004011869,0.00001244612,0.00004023025,0.00001539931],"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":[0.0001469383,0.000009349254,0.0009159248,0.00002589151,0.000006232735,0.00002767428,0.00002207824,0.00008989278,0.9966655,0.00001752812,0.00001668021,0.002056295],"study_design_scores_gemma":[0.000003458824,0.0001450879,0.008644942,0.000005792463,0.00002304002,0.00005214972,0.00002837847,0.001257495,0.9891524,0.0000255223,0.0006550972,0.000006652133],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860272,0.002187976,0.009023612,0.00009276516,0.00002272034,0.00005477108,0.001110553,0.0001040076,0.001376473],"genre_scores_gemma":[0.9745894,0.002800305,0.01861994,0.0001475049,0.00001050854,0.0001423132,0.001757234,0.0000690792,0.001863808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001257017,"threshold_uncertainty_score":0.002499342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04259322926457413,"score_gpt":0.3837086399058874,"score_spread":0.3411154106413133,"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."}}