{"id":"W2139138803","doi":"10.1093/nar/gks992","title":"ECMDB: The E. coli Metabolome Database","year":2012,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":168,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology; University of Alberta","funders":"Canadian Institutes of Health Research; Genome Alberta; Genome Canada","keywords":"Metabolome; Biology; Database; Metabolomics; Escherichia coli Proteins; Metabolite; Computational biology; Escherichia coli; Biochemistry; Gene; Bioinformatics; Computer science","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":[0.00114864,0.002289722,0.001959745,0.004912421,0.001058044,0.003343211,0.00339445,0.001944155,0.01614001],"category_scores_gemma":[0.002888944,0.0007563201,0.001149418,0.006423974,0.0002962072,0.002524232,0.002539025,0.001701529,0.029251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009251468,"about_ca_system_score_gemma":0.002923925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004861515,"about_ca_topic_score_gemma":0.003626939,"domain_scores_codex":[0.9990554,0.0001561191,0.0001866449,0.0002041048,0.0002599347,0.0001376824],"domain_scores_gemma":[0.9988748,0.0001471111,0.0001635225,0.0002238268,0.0003548478,0.0002358118],"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":[0.001893435,0.0003118953,0.003820273,0.004912456,0.0003018009,0.0008398732,0.000144621,0.002338933,0.0277309,0.006289739,0.8655687,0.08584732],"study_design_scores_gemma":[0.0002908192,0.0001331576,0.005457491,0.0005193281,0.0001893177,0.0007763259,0.0001458025,0.005741814,0.01451574,0.006771313,0.9653223,0.0001367023],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008777145,0.007155279,0.02225814,0.001339103,0.0003957814,0.0004684225,0.9070418,0.03657107,0.01599327],"genre_scores_gemma":[0.006768695,0.002729716,0.01983237,0.0004767095,0.00005402179,0.0002753195,0.9668433,0.0009512529,0.002068703],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01614001,"threshold_uncertainty_score":0.0539937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06091454847303168,"score_gpt":0.358214818115937,"score_spread":0.2973002696429053,"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."}}