{"id":"W2571561819","doi":"10.1038/srep40543","title":"Chemical Isotope Labeling LC-MS for Monitoring Disease Progression and Treatment in Animal Models: Plasma Metabolomics Study of Osteoarthritis Rat Model","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Canada; Canadian Institutes of Health Research; Alberta Innovates; Canada Research Chairs; Zhejiang University","keywords":"Metabolomics; Osteoarthritis; Animal model; Medicine; Metabolite; Chromatography; Pharmacology; Chemistry; Bioinformatics; Internal medicine; Pathology; Biology","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":[0.0005042473,0.0008667112,0.0005498651,0.00082323,0.0003139811,0.0003334809,0.0002811154,0.0004779299,0.0005831731],"category_scores_gemma":[0.000297645,0.0002207014,0.0004093362,0.0005526709,0.0002835163,0.0003134084,0.0002557256,0.0006651496,0.0002526216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003116829,"about_ca_system_score_gemma":0.0005513429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001187929,"about_ca_topic_score_gemma":0.002467781,"domain_scores_codex":[0.9997296,0.00004055785,0.00001761319,0.0000907068,0.00008440721,0.00003714287],"domain_scores_gemma":[0.9997221,0.00003528455,0.00009597448,0.00003366638,0.0000695253,0.00004359094],"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":[0.0002654243,0.00004593252,0.001469361,0.00006378662,0.00002819248,0.00002872759,0.00001049688,0.00005809079,0.9921767,0.0000371432,0.00008216557,0.005733976],"study_design_scores_gemma":[0.00003109699,0.0009383277,0.01529367,0.000008478208,0.0001324495,0.0003204625,0.00002681483,0.002245344,0.9784494,0.0001273707,0.002391682,0.00003476314],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8437438,0.008644744,0.1398068,0.0005861474,0.0001456495,0.000312682,0.003716895,0.001312147,0.001731109],"genre_scores_gemma":[0.8321874,0.005918648,0.1539728,0.0007542124,0.00009130858,0.0005584092,0.002964257,0.0001836704,0.003369335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001187929,"threshold_uncertainty_score":0.002666712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03206801336853842,"score_gpt":0.3033268335978869,"score_spread":0.2712588202293484,"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."}}