{"id":"W3012617605","doi":"10.1002/cpbi.98","title":"MetaBridge: An Integrative Multi‐Omics Tool for Metabolite‐Enzyme Mapping","year":2020,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; BC Centre for Disease Control; University of British Columbia","funders":"National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research; National Science Foundation","keywords":"Computational biology; Omics; Metabolite; Computer science; Metabolomics; Biology; 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":[0.003066338,0.002964469,0.002319596,0.005396832,0.001109976,0.003070813,0.003050197,0.001347494,0.02815166],"category_scores_gemma":[0.004688342,0.001906493,0.002013162,0.004076463,0.0003798116,0.003202168,0.003407311,0.002203695,0.01994739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006219607,"about_ca_system_score_gemma":0.00251495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00247529,"about_ca_topic_score_gemma":0.003734913,"domain_scores_codex":[0.9986175,0.0002232318,0.0001556627,0.0003453429,0.0005447513,0.0001133746],"domain_scores_gemma":[0.9981504,0.000725673,0.000274972,0.0003676767,0.0003162467,0.0001650163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002415014,0.0003143717,0.008669356,0.006686531,0.00122945,0.002018017,0.00087367,0.005916886,0.1760595,0.01278159,0.500577,0.2824586],"study_design_scores_gemma":[0.0006644292,0.0003283251,0.01597479,0.0007135324,0.0003961167,0.00209507,0.0003309855,0.05365047,0.1504653,0.01579856,0.7591644,0.00041804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007636858,0.001631472,0.5362548,0.000474614,0.0002882307,0.0008624836,0.1493029,0.2967721,0.006776471],"genre_scores_gemma":[0.02012928,0.001076005,0.8226062,0.0004614428,0.00009777263,0.002073384,0.1308061,0.0169252,0.005824662],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02815166,"threshold_uncertainty_score":0.09417671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06961718095760626,"score_gpt":0.3584858946947571,"score_spread":0.2888687137371508,"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."}}