{"id":"W1982185581","doi":"10.1093/nar/gkp356","title":"MetaboAnalyst: a web server for metabolomic data analysis and interpretation","year":2009,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2320,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology; University of Alberta","funders":"Canadian Institutes of Health Research; Genome Alberta; Genome Canada","keywords":"Metabolomics; Computer science; Identification (biology); Profiling (computer programming); Data pre-processing; Web server; Database normalization; Data mining; Bioinformatics; Cluster analysis; Biology; Artificial intelligence; The Internet; World Wide Web","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":[0.002586632,0.003404152,0.002298119,0.004121093,0.0009007916,0.003014055,0.004022726,0.001667921,0.04811828],"category_scores_gemma":[0.004324501,0.001644924,0.001406839,0.003032092,0.0005285388,0.003654953,0.00265073,0.002407382,0.05435847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009712601,"about_ca_system_score_gemma":0.003164497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00366511,"about_ca_topic_score_gemma":0.00318538,"domain_scores_codex":[0.9988405,0.0001776829,0.0001461529,0.000280576,0.000422359,0.0001328085],"domain_scores_gemma":[0.9975345,0.0005476345,0.00033802,0.000378672,0.00077416,0.0004269725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002452457,0.0003146744,0.003566686,0.002398794,0.0004411857,0.00103875,0.0003564059,0.003072893,0.05447711,0.004497513,0.7590098,0.1683738],"study_design_scores_gemma":[0.001153987,0.0004180621,0.01409492,0.0005844688,0.0002633809,0.001762427,0.0002135468,0.0795339,0.08093922,0.01603378,0.8042977,0.0007046057],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.003218073,0.0008940418,0.151904,0.0003956408,0.0003179518,0.0006048786,0.07746594,0.7591504,0.006049015],"genre_scores_gemma":[0.03017721,0.002116332,0.4080198,0.001539428,0.0004678525,0.002934356,0.4345186,0.1023232,0.01790317],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.04811828,"threshold_uncertainty_score":0.1609716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04978538770464962,"score_gpt":0.3734938341497964,"score_spread":0.3237084464451467,"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."}}