{"id":"W1764658002","doi":"10.1002/0471250953.bi1408s25","title":"Exploring Human Metabolites Using the Human Metabolome Database","year":2009,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology; University of Alberta","funders":"Genome Alberta; Genome Canada","keywords":"Metabolome; Metabolite; Metabolomics; Computational biology; Computer science; Bioinformatics; Biology; 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":[0.0006764505,0.0004975823,0.0005797332,0.003182341,0.0003650678,0.0009996283,0.0005488796,0.0004811057,0.01483936],"category_scores_gemma":[0.002384218,0.0002139355,0.0006085424,0.003912465,0.00009890513,0.0006398993,0.001008429,0.0002869547,0.004498442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002823704,"about_ca_system_score_gemma":0.0009290365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004006768,"about_ca_topic_score_gemma":0.004661464,"domain_scores_codex":[0.9997144,0.00006219894,0.00004225453,0.0000981596,0.00005861266,0.00002428347],"domain_scores_gemma":[0.9994568,0.0002262851,0.00005570124,0.0001085344,0.00008562244,0.00006693365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006441012,0.0004936103,0.07110875,0.005653617,0.001377213,0.004128259,0.0004394157,0.0099136,0.0373408,0.005857157,0.222683,0.6345637],"study_design_scores_gemma":[0.0008224834,0.0007834163,0.1315092,0.0008495809,0.0009400906,0.006030306,0.0005359497,0.02591902,0.044284,0.01918354,0.7689026,0.0002399387],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.09473079,0.006772107,0.02878066,0.000873735,0.00007687001,0.0004967051,0.8455454,0.007659827,0.01506396],"genre_scores_gemma":[0.1470036,0.005021085,0.07736846,0.0004867481,0.00006127629,0.000620816,0.7662263,0.000366761,0.002845046],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01483936,"threshold_uncertainty_score":0.04964256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2053561132408094,"score_gpt":0.3972397651650368,"score_spread":0.1918836519242274,"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."}}