{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00140007,0.0001266605,0.0002946914,0.0001137672,0.0000726656,0.00002488389,0.0002710528,0.0001664535,0.00008986289],"category_scores_gemma":[0.0001592878,0.00009923636,0.0001615421,0.0001791895,0.000195083,0.00001168605,0.00008204432,0.0002455357,0.000004939566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000452443,"about_ca_system_score_gemma":0.0003013207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005073579,"about_ca_topic_score_gemma":0.000002016666,"domain_scores_codex":[0.9980018,0.0003015629,0.0005783215,0.0001926467,0.0006287888,0.0002968853],"domain_scores_gemma":[0.9980198,0.0000393645,0.0004459913,0.0002309771,0.001120128,0.0001437707],"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":[0.0005573282,0.0001750153,0.001160295,0.00003098706,0.0001138025,0.000001732012,0.0001250484,0.00001227901,0.9966537,0.000009130331,0.0002141715,0.0009465521],"study_design_scores_gemma":[0.0009722708,0.004514916,0.001215056,0.00005217092,0.0000156678,0.000003758087,0.00004349541,0.0001101509,0.992726,0.00005673673,0.000201315,0.00008844478],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981477,0.0008216293,0.0001519716,0.00003319273,0.00004510501,0.0004900417,0.00002568578,0.000001531125,0.0002831866],"genre_scores_gemma":[0.9984549,0.0002155324,0.0008602435,0.00000389174,0.0002580298,0.000009816006,0.00001625869,0.00001888692,0.0001624882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004339901,"threshold_uncertainty_score":0.4046741,"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."}}