{"id":"W3204852798","doi":"10.3390/metabo11100672","title":"New Advances in Tissue Metabolomics: A Review","year":2021,"lang":"en","type":"review","venue":"Metabolites","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; National Cancer Institute; Genome Canada","keywords":"Metabolomics; Biomarker discovery; Biomarker; Computational biology; Bioinformatics; Disease; Medicine; Biology; Pathology; Proteomics","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":[0.001092176,0.001302685,0.001790266,0.003726583,0.0003187386,0.001665259,0.001076545,0.00145109,0.006334286],"category_scores_gemma":[0.001468543,0.0004356688,0.0008900067,0.00365524,0.0005169518,0.00241323,0.001062988,0.002121209,0.003823868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007446659,"about_ca_system_score_gemma":0.001545301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001085092,"about_ca_topic_score_gemma":0.001696646,"domain_scores_codex":[0.9996992,0.00005207285,0.00004468075,0.00006252866,0.0001092385,0.00003224163],"domain_scores_gemma":[0.9991384,0.0004631835,0.00009467032,0.00002636865,0.0002107329,0.0000666741],"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":[0.00009289177,0.00007306402,0.0001855297,0.02837971,0.0001335462,0.0002560069,0.00006238089,0.0004112357,0.002233022,0.00506283,0.04184607,0.9212637],"study_design_scores_gemma":[0.000009825077,0.00007043628,0.0004054627,0.003032907,0.0001018888,0.0007129538,0.00004285135,0.00007749364,0.0004523321,0.001842061,0.9932285,0.00002332698],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006835043,0.9983245,0.0002138294,0.0003294013,0.0002962714,0.000004815944,0.00003467341,0.00001067877,0.0007174673],"genre_scores_gemma":[0.0003664712,0.998404,0.0002739089,0.0002264656,0.0002719679,0.000006290524,0.00005306742,0.000002643251,0.0003952621],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006334286,"threshold_uncertainty_score":0.02119029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02084054906336896,"score_gpt":0.3461562659586892,"score_spread":0.3253157168953202,"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."}}