{"id":"W1976327004","doi":"10.1093/nar/gkv380","title":"MetaboAnalyst 3.0—making metabolomics more meaningful","year":2015,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2747,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology; University of Alberta; McGill University","funders":"Canadian Institutes of Health Research","keywords":"Interactivity; Upgrade; Computer science; Visualization; Rendering (computer graphics); Web server; World Wide Web; The Internet; Data mining; Operating system; 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":[0.004072568,0.002357669,0.001839897,0.002832906,0.0007262639,0.004657508,0.004051857,0.001343176,0.02633325],"category_scores_gemma":[0.007249272,0.001991938,0.002101671,0.002010348,0.0006254826,0.004203236,0.003362999,0.003515502,0.01873852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009422582,"about_ca_system_score_gemma":0.00247012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003421823,"about_ca_topic_score_gemma":0.003367333,"domain_scores_codex":[0.9982241,0.0003014464,0.00015871,0.0003990527,0.0007341397,0.0001825396],"domain_scores_gemma":[0.996352,0.0008995702,0.0003493638,0.0008002335,0.001126836,0.0004721092],"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":[0.002413814,0.0002966367,0.005373861,0.002167743,0.0008056161,0.000722326,0.0005500473,0.005355484,0.1180969,0.01535042,0.6184316,0.2304356],"study_design_scores_gemma":[0.000438338,0.0002017919,0.007686031,0.0003564642,0.0002496127,0.0007592735,0.00009759622,0.04584424,0.09749047,0.01854176,0.8279126,0.0004216953],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.01042742,0.001931991,0.4097611,0.002139736,0.001136789,0.0003977461,0.03252209,0.5322592,0.00942397],"genre_scores_gemma":[0.04450591,0.002486922,0.6919934,0.002477217,0.0006835437,0.0009648952,0.09902745,0.1443363,0.01352439],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.02633325,"threshold_uncertainty_score":0.08809346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08126158021009874,"score_gpt":0.376384817327871,"score_spread":0.2951232371177722,"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."}}