{"id":"W2025701648","doi":"10.1038/nprot.2011.319","title":"Web-based inference of biological patterns, functions and pathways from metabolomic data using MetaboAnalyst","year":2011,"lang":"en","type":"article","venue":"Nature Protocols","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1386,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Institute for Nanotechnology; University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Metabolomics; Computer science; Database normalization; Univariate; Normalization (sociology); Upload; Biological data; Protocol (science); Data set; Statistical inference; Inference; Data mining; Computational biology; Bioinformatics; Multivariate statistics; Artificial intelligence; Biology; Machine learning; World Wide Web; Pattern recognition (psychology); Statistics; Medicine","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":[0.002624851,0.001673092,0.001571101,0.003743512,0.0008594372,0.002726087,0.001754736,0.001075814,0.006512036],"category_scores_gemma":[0.007046726,0.001263194,0.002393466,0.002423756,0.0004539741,0.001868415,0.001600817,0.001710377,0.004318555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007503497,"about_ca_system_score_gemma":0.001539178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004557437,"about_ca_topic_score_gemma":0.009599106,"domain_scores_codex":[0.9992263,0.000142146,0.0001059398,0.0002821955,0.0002087123,0.00003475193],"domain_scores_gemma":[0.9960617,0.002351804,0.0003074984,0.000676986,0.0004519541,0.0001499564],"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":[0.008103622,0.001616051,0.04299645,0.006794961,0.006702594,0.003018865,0.0008994048,0.08127345,0.2214907,0.01393354,0.06735221,0.5458182],"study_design_scores_gemma":[0.0004645688,0.0002037505,0.01496365,0.0002657192,0.0008220797,0.0009475851,0.0001508374,0.8224151,0.09528334,0.03007269,0.03420663,0.0002039441],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.03039893,0.0007187616,0.7280354,0.000277003,0.000148097,0.0003292784,0.03624487,0.202212,0.001635589],"genre_scores_gemma":[0.09417197,0.0006955002,0.8274459,0.0001841495,0.00006260219,0.0005988543,0.07043827,0.005184939,0.001217785],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.006512036,"threshold_uncertainty_score":0.02178496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1117310879761089,"score_gpt":0.3366927524806622,"score_spread":0.2249616645045533,"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."}}