{"id":"W2165681080","doi":"10.1093/nar/gkl923","title":"HMDB: the Human Metabolome Database","year":2007,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3265,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology; University of Calgary; University of Alberta","funders":"Genome Alberta; Genome Canada","keywords":"Metabolome; Biology; Metabolite; Metabolomics; Database; Computational biology; Computer science; Bioinformatics; 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":[0.001346389,0.001363821,0.002076227,0.004284597,0.0008473841,0.002626309,0.002854104,0.001546479,0.05708312],"category_scores_gemma":[0.00435699,0.0006898692,0.0009566051,0.005856254,0.0002608081,0.001915896,0.002393306,0.001207194,0.04507744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007968806,"about_ca_system_score_gemma":0.002985426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006548664,"about_ca_topic_score_gemma":0.005528738,"domain_scores_codex":[0.9993266,0.0001555305,0.0001420356,0.0001590641,0.0001429671,0.00007394145],"domain_scores_gemma":[0.998588,0.0003323123,0.000176102,0.0003216848,0.0003303784,0.00025149],"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":[0.0008704757,0.00008531838,0.001964023,0.002262524,0.0002638249,0.0003160671,0.00007482021,0.001126127,0.001583442,0.003721825,0.9423822,0.04534926],"study_design_scores_gemma":[0.0003839587,0.00007038671,0.006103043,0.000428795,0.0002148596,0.000618167,0.00008493838,0.002454596,0.002027405,0.0102097,0.9773143,0.00008993999],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.001652543,0.002810451,0.006449879,0.0008019757,0.0001074308,0.0002007907,0.9710143,0.008878713,0.008083913],"genre_scores_gemma":[0.005292714,0.001829941,0.01016004,0.0005748145,0.00006518234,0.0004095907,0.9786001,0.0006441266,0.002423562],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.05708312,"threshold_uncertainty_score":0.1909621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05618736265646457,"score_gpt":0.3793652041356149,"score_spread":0.3231778414791503,"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."}}