{"id":"W2063028213","doi":"10.1093/nar/gks1065","title":"HMDB 3.0—The Human Metabolome Database in 2013","year":2012,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2904,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Genome Alberta; Canadian Institutes of Health Research; Alberta Innovates; Genome Canada","keywords":"Metabolome; Biology; Metabolomics; Metabolite; Database; Bioinformatics; Computational biology; Computer science; Biochemistry","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":[0.002612901,0.001270686,0.001874774,0.003524381,0.0008314173,0.003627892,0.002582919,0.001190757,0.04164869],"category_scores_gemma":[0.006184603,0.0009440095,0.001138748,0.005638056,0.0002764326,0.002628343,0.00308029,0.001897163,0.04520698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001746839,"about_ca_system_score_gemma":0.004820217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01809284,"about_ca_topic_score_gemma":0.01652283,"domain_scores_codex":[0.9988968,0.0001977287,0.0002234583,0.0002014181,0.0003591495,0.000121344],"domain_scores_gemma":[0.9983228,0.0002316749,0.0001591458,0.00026823,0.0006719173,0.0003462816],"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":[0.0005773623,0.00003487077,0.001104618,0.000851955,0.0001109311,0.0001225673,0.00005560066,0.0003023049,0.001633159,0.001710888,0.9482323,0.0452634],"study_design_scores_gemma":[0.0001497748,0.00004323881,0.004548684,0.0004075995,0.00007268619,0.0002194558,0.00004820557,0.0005586909,0.002044518,0.002679,0.9891557,0.00007257392],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001990243,0.003978904,0.006889218,0.00198462,0.0005097646,0.0002293665,0.960771,0.01253244,0.01111444],"genre_scores_gemma":[0.002895145,0.002029366,0.009556254,0.0009574882,0.0001160211,0.0002870118,0.9779177,0.0012564,0.004984579],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04164869,"threshold_uncertainty_score":0.1393287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06294234742338028,"score_gpt":0.3721048319621013,"score_spread":0.309162484538721,"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."}}