{"id":"W4394578957","doi":"10.1093/nar/gkae253","title":"MetaboAnalyst 6.0: towards a unified platform for metabolomics data processing, analysis and interpretation","year":2024,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1961,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; McGill University","funders":"JDRF; Natural Sciences and Engineering Research Council of Canada; Genome Canada; Canadian Institutes of Health Research; National Cancer Institute; Diabetes Canada; National Institutes of Health; Cummings Foundation","keywords":"Annotation; Computer science; Benchmark (surveying); Visualization; Data processing; Data mining; Computational biology; Biology; Database; Artificial intelligence","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":[0.008577035,0.003503339,0.002776405,0.004831512,0.0008254318,0.005837176,0.005483028,0.001804622,0.0243999],"category_scores_gemma":[0.01347234,0.003242725,0.002480544,0.002560515,0.0008667607,0.003899324,0.004242675,0.004469125,0.02485956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001086878,"about_ca_system_score_gemma":0.005315434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002654912,"about_ca_topic_score_gemma":0.003176328,"domain_scores_codex":[0.9966336,0.0006647895,0.0004718159,0.0006818578,0.001263548,0.0002845004],"domain_scores_gemma":[0.9932377,0.002020346,0.0008541955,0.001200391,0.002172016,0.0005152984],"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":[0.003283477,0.0003370737,0.008623463,0.006892773,0.00197707,0.001459894,0.00115235,0.01112749,0.09642149,0.0197824,0.5755137,0.273429],"study_design_scores_gemma":[0.0006547499,0.0004733372,0.007349104,0.0009852308,0.0005481518,0.001718034,0.0001883498,0.05888912,0.1036712,0.02461002,0.8002187,0.0006940194],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.00364631,0.001699717,0.4735477,0.0007351559,0.0005925272,0.0005529976,0.03302025,0.4828134,0.003392047],"genre_scores_gemma":[0.01924706,0.002139639,0.7470278,0.00138414,0.0002926436,0.001980867,0.1216829,0.09978227,0.006462723],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.0243999,"threshold_uncertainty_score":0.08162582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07042803838880195,"score_gpt":0.3876739563480883,"score_spread":0.3172459179592863,"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."}}