{"id":"W2969664314","doi":"10.1152/physrev.00035.2018","title":"Metabolomics for Investigating Physiological and Pathophysiological Processes","year":2019,"lang":"en","type":"review","venue":"Physiological Reviews","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1188,"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; Genome Alberta; Directorate for Biological Sciences; Canada Foundation for Innovation","keywords":"Metabolomics; Pathophysiology; Biology; Computational biology; Bioinformatics; Endocrinology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006631108,0.00104893,0.004703374,0.0000702852,0.0002153878,0.00005768117,0.0006324234,0.0008203812,0.00001837499],"category_scores_gemma":[0.004690174,0.0005958382,0.001144646,0.0003299761,0.000376681,0.00000771946,0.0008371235,0.0004626503,0.00005449441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002101954,"about_ca_system_score_gemma":0.0001577809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.338493e-7,"about_ca_topic_score_gemma":6.334846e-7,"domain_scores_codex":[0.9956842,0.0005466965,0.001191002,0.001721833,0.0001368934,0.0007193684],"domain_scores_gemma":[0.9977419,0.0002893918,0.0009230169,0.0007039633,0.000137475,0.0002041959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008522074,0.0005169843,0.000006367145,0.09366328,0.001012869,0.00000308949,0.00002149495,0.000003809544,0.06861221,0.003462779,0.07717848,0.7554334],"study_design_scores_gemma":[0.0002253751,0.0008543568,0.00002189698,0.001207711,0.0006492158,0.000008961292,0.000006047035,0.000004159203,0.00006783958,0.0009478254,0.9952237,0.0007829318],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007026846,0.9954715,0.0001681613,0.00001790108,0.0002212675,0.003131358,0.0002020397,0.00003501317,0.00005009984],"genre_scores_gemma":[0.00008231168,0.9903424,0.005109021,0.000481368,0.0009532773,0.001707111,0.001016388,0.00006683306,0.0002413363],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9180452,"threshold_uncertainty_score":0.9996493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2100915211459509,"score_gpt":0.3901310955875973,"score_spread":0.1800395744416464,"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."}}