{"id":"W2135607659","doi":"10.1093/nar/gks374","title":"MetaboAnalyst 2.0--a comprehensive server for metabolomic data analysis","year":2012,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1156,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology","funders":"Genome Alberta; Canadian Institutes of Health Research; Alberta Innovates; Genome Canada","keywords":"Computer science; Upgrade; World Wide Web; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002384664,0.0002301788,0.0005426174,0.0004648297,0.0003702629,0.00007009157,0.001098701,0.0001688239,0.0001880824],"category_scores_gemma":[0.0004995482,0.000197646,0.000299945,0.001272029,0.0002232078,0.0000242053,0.001393717,0.0002376805,0.00005831426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002642695,"about_ca_system_score_gemma":0.00006903351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007063373,"about_ca_topic_score_gemma":0.00007368431,"domain_scores_codex":[0.9971048,0.0003085484,0.0003300444,0.0007471152,0.0005173121,0.0009922138],"domain_scores_gemma":[0.9971457,0.000122741,0.00008722434,0.001927148,0.0004757273,0.00024153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006070923,0.0005817553,0.04931887,0.0001084031,0.01781357,0.000002269633,0.0001696673,0.00005258849,0.8255845,0.007852253,0.09220128,0.005707743],"study_design_scores_gemma":[0.0007692387,0.0001580145,0.04946364,0.000002169715,0.001229102,0.000003466791,0.0004135405,0.0005857101,0.03815395,0.0001873618,0.9086806,0.0003532378],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9612922,0.028817,0.005770825,0.0005168585,0.0002934253,0.000682263,0.00057379,0.00002467004,0.002028982],"genre_scores_gemma":[0.98549,0.002492758,0.007710614,0.0001697887,0.0007813695,0.00008447391,0.00119291,0.00004425073,0.00203387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8164793,"threshold_uncertainty_score":0.8059769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1336923137794339,"score_gpt":0.404169401194401,"score_spread":0.2704770874149671,"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."}}