{"id":"W2974361058","doi":"10.1002/cpbi.86","title":"Using MetaboAnalyst 4.0 for Comprehensive and Integrative Metabolomics Data Analysis","year":2019,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2283,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; McGill University; Ste. Anne's Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Computer science","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":[0.00548803,0.004064982,0.00312787,0.00520898,0.0009759496,0.005327814,0.00353567,0.001432187,0.03780498],"category_scores_gemma":[0.01069583,0.002049788,0.003699387,0.004034617,0.0008444891,0.003169749,0.003702787,0.004206087,0.02870933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009295386,"about_ca_system_score_gemma":0.004856991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004434001,"about_ca_topic_score_gemma":0.004402131,"domain_scores_codex":[0.9976828,0.0003843342,0.0003107865,0.0006224593,0.0008142402,0.0001854265],"domain_scores_gemma":[0.9964818,0.001333128,0.0004728893,0.0005433742,0.0009567779,0.0002120237],"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":[0.001666244,0.0002657697,0.01148564,0.01123712,0.002728832,0.001910063,0.001665664,0.01336109,0.05061879,0.02046304,0.6780714,0.2065265],"study_design_scores_gemma":[0.0005435093,0.0003288622,0.01152687,0.001481442,0.0007007201,0.001702103,0.0003466984,0.07907106,0.06522783,0.03794477,0.8003633,0.0007627427],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.004459988,0.001965686,0.3941888,0.0007058432,0.0006417882,0.0007633663,0.08064377,0.5114473,0.005183557],"genre_scores_gemma":[0.02180941,0.002132587,0.7222483,0.001111393,0.0002169175,0.003346587,0.1222339,0.1209482,0.005952794],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03780498,"threshold_uncertainty_score":0.1264703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1398065145181043,"score_gpt":0.4168898723673449,"score_spread":0.2770833578492407,"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."}}