{"id":"W2803664483","doi":"10.1093/nar/gky310","title":"MetaboAnalyst 4.0: towards more transparent and integrative metabolomics analysis","year":2018,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3820,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; McGill University","funders":"Canadian Institutes of Health Research","keywords":"Metabolomics; Identification (biology); Computer science; Biology; Bioinformatics","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":[0.008035216,0.004575886,0.003596149,0.006144364,0.001209406,0.007913691,0.006361249,0.002365251,0.0556424],"category_scores_gemma":[0.01480119,0.003899993,0.004538074,0.004529954,0.0008829604,0.00562091,0.005958879,0.00515719,0.06273925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001326308,"about_ca_system_score_gemma":0.005184745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00396905,"about_ca_topic_score_gemma":0.004516711,"domain_scores_codex":[0.9962442,0.0006873572,0.0004285235,0.0008137533,0.001502043,0.0003240906],"domain_scores_gemma":[0.9931427,0.001906845,0.0008176675,0.001247855,0.002373105,0.0005119351],"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":[0.001133531,0.0001233184,0.004920778,0.005013801,0.001185308,0.0007223779,0.0007057288,0.003702909,0.03390478,0.01090414,0.7767843,0.1608991],"study_design_scores_gemma":[0.0001837843,0.0001497938,0.003564224,0.0005790448,0.0003370995,0.0008203131,0.00009485386,0.01068159,0.02835337,0.01148552,0.9433768,0.0003736931],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.003657152,0.005074316,0.3452557,0.002007806,0.002013063,0.0003689748,0.07803121,0.5552918,0.008299958],"genre_scores_gemma":[0.01634213,0.005356906,0.5076979,0.00320244,0.00076352,0.001385711,0.2397525,0.2108569,0.01464205],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.0556424,"threshold_uncertainty_score":0.1861424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04950750720783706,"score_gpt":0.3708966744716163,"score_spread":0.3213891672637792,"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."}}