{"id":"W2801288141","doi":"10.1093/bioinformatics/bty331","title":"MetaBridge: enabling network-based integrative analysis via direct protein interactors of metabolites","year":2018,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Killam Trusts; University of British Columbia; Canada Research Chairs","keywords":"Workflow; Computer science; Source code; Computational biology; Complement (music); Systems biology; Metabolomics; Bioinformatics; Biology; Database; Biochemistry; Programming language; Mutant","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":[0.000551905,0.0002856336,0.0005017744,0.000200102,0.0001107639,0.00005440971,0.0003419216,0.0001858748,0.00006129041],"category_scores_gemma":[0.000138261,0.0002211926,0.000329681,0.0009031995,0.0002253682,0.0000221713,0.0001499403,0.0001302671,0.00001979279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001778651,"about_ca_system_score_gemma":0.0001166712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002845356,"about_ca_topic_score_gemma":0.00007660752,"domain_scores_codex":[0.9983274,0.00005631213,0.0008339508,0.0001821079,0.0002071334,0.0003930969],"domain_scores_gemma":[0.9982799,0.00003462463,0.0005608358,0.0005629048,0.0004473863,0.0001143192],"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":[0.003484869,0.001614929,0.03177465,0.002123901,0.04208516,0.00000884825,0.0142439,0.04999987,0.4880043,0.008016332,0.04916789,0.3094754],"study_design_scores_gemma":[0.001045513,0.0009507863,0.0009164159,0.0001257595,0.001274967,0.000003819359,0.000526163,0.3539869,0.5748677,0.0002357689,0.06517152,0.0008947551],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2771359,0.001335407,0.7056525,0.00006919953,0.000513042,0.0009053104,0.0001671518,0.00005862712,0.01416289],"genre_scores_gemma":[0.9506974,0.000034627,0.04795433,0.0002706403,0.0003525451,0.00002231443,0.0003781728,0.00001977411,0.0002701806],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6735615,"threshold_uncertainty_score":0.9019973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008295472400709979,"score_gpt":0.2388291522548754,"score_spread":0.2305336798541654,"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."}}