{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006954771,0.0002978604,0.0003506251,0.0001735213,0.0003565564,0.0001084752,0.0005287417,0.00006110642,0.00001233732],"category_scores_gemma":[0.000111904,0.0002137281,0.0001306605,0.0003581978,0.0001123576,0.00005740438,0.0002758611,0.0002705831,0.000004851967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002559015,"about_ca_system_score_gemma":0.00004199483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005667685,"about_ca_topic_score_gemma":0.000006524647,"domain_scores_codex":[0.9982299,0.00007142878,0.0007023066,0.0002630473,0.0002581793,0.0004751818],"domain_scores_gemma":[0.9988292,0.0000116755,0.0002643148,0.0007339295,0.00008278174,0.00007812057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004991029,0.0005802136,0.005487005,0.0003521154,0.0001300533,0.000002465187,0.0008070667,0.000124047,0.9347563,0.03648592,0.000969703,0.02025514],"study_design_scores_gemma":[0.004112184,0.0007788671,0.01854351,0.0004723234,0.0001789262,0.00002673277,0.001267117,0.001775472,0.5169273,0.00311182,0.4510815,0.001724188],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9610369,0.002505401,0.004206558,0.0001224008,0.0003522985,0.029805,0.00008711495,0.00005545235,0.001828922],"genre_scores_gemma":[0.9338805,0.00155833,0.0270641,0.0005364142,0.001401719,0.03480588,0.00054138,0.00007858447,0.0001330909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4501118,"threshold_uncertainty_score":0.8715578,"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."}}