{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005857615,0.000764245,0.003936556,0.0002522814,0.00005410095,0.00004909711,0.0005952384,0.0003524919,0.0003818173],"category_scores_gemma":[0.0006930628,0.0006248037,0.0007980019,0.0008843135,0.00005438855,0.00001112946,0.0004446908,0.0003577943,0.00009231876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002494574,"about_ca_system_score_gemma":0.0005225091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001783259,"about_ca_topic_score_gemma":0.00005172516,"domain_scores_codex":[0.9966303,0.000385476,0.001069504,0.001086853,0.000238676,0.0005891966],"domain_scores_gemma":[0.9982337,0.0000608078,0.0004544558,0.0009813929,0.00009925338,0.0001703436],"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":[0.000002140066,0.00003731069,0.000004718514,0.01105961,0.0002418383,0.00001222735,0.000003335576,1.411622e-7,0.0001423493,0.001268949,0.008778627,0.9784487],"study_design_scores_gemma":[0.0001863065,0.00003600397,0.000002109087,0.008262612,0.001152225,0.00004092115,0.000006042348,4.34194e-8,0.0004363569,0.0000848215,0.9891776,0.0006149937],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[9.481127e-7,0.995669,0.0002077835,0.00005589276,0.0005902887,0.0008131359,0.000102295,0.00001717974,0.002543479],"genre_scores_gemma":[1.710745e-7,0.986808,0.005984985,0.0003063674,0.0008261291,0.0002162147,0.0007276995,0.00009346938,0.005036956],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.980399,"threshold_uncertainty_score":0.9996203,"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."}}