{"id":"W3159995035","doi":"10.1093/nar/gkab382","title":"MetaboAnalyst 5.0: narrowing the gap between raw spectra and functional insights","year":2021,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4138,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; McGill University","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; National Cancer Institute; National Institutes of Health; Canada Research Chairs; Génome Québec; Compute Canada; Genome Canada","keywords":"Pipeline (software); Computer science; Raw data; Data mining; Session (web analytics); Modular design; Network analysis; Biology; Information retrieval; World Wide Web; Operating system; Engineering","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":[0.008201591,0.004431223,0.002974171,0.007428492,0.001228338,0.006466957,0.005362332,0.002415003,0.0352709],"category_scores_gemma":[0.01615771,0.003525053,0.002888006,0.00332248,0.001055011,0.004980727,0.00521994,0.00424223,0.02418651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001267596,"about_ca_system_score_gemma":0.004632081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003672683,"about_ca_topic_score_gemma":0.004965439,"domain_scores_codex":[0.9973308,0.0005263039,0.0003032593,0.0006189056,0.0009634547,0.0002571724],"domain_scores_gemma":[0.9931781,0.002896751,0.0008081675,0.0009903777,0.001685278,0.0004413025],"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":[0.002621311,0.0002260038,0.008809388,0.01047118,0.001963082,0.001707421,0.001669322,0.006686122,0.08343632,0.02239989,0.6911862,0.1688237],"study_design_scores_gemma":[0.000459353,0.0003430174,0.008896392,0.001519894,0.000654134,0.002039952,0.0003514694,0.04228869,0.1222065,0.03087259,0.7896695,0.0006985692],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.008464325,0.004280256,0.3267701,0.00145886,0.0009718331,0.0003685201,0.07599621,0.5757449,0.005944916],"genre_scores_gemma":[0.03636729,0.003870637,0.5924423,0.002286177,0.0003479895,0.001419144,0.1979861,0.1576304,0.007649933],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.0352709,"threshold_uncertainty_score":0.1179929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06453298421460983,"score_gpt":0.3262573713541874,"score_spread":0.2617243871395776,"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."}}