{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002439904,0.002773098,0.001675123,0.004545579,0.001176451,0.003443778,0.002230451,0.0008386236,0.01501866],"category_scores_gemma":[0.005418446,0.001335669,0.002229999,0.002909709,0.0005819743,0.00288765,0.003819413,0.00195352,0.008408734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006395768,"about_ca_system_score_gemma":0.001793641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003322201,"about_ca_topic_score_gemma":0.006797921,"domain_scores_codex":[0.9985763,0.0002312339,0.00008620932,0.0005515458,0.0004561926,0.00009859262],"domain_scores_gemma":[0.9978272,0.0009811306,0.0003023288,0.0003950089,0.0002776597,0.0002165691],"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":[0.002622768,0.0003935009,0.03037336,0.009696775,0.00360857,0.002315383,0.001994024,0.03483648,0.1287744,0.04094401,0.4626617,0.2817791],"study_design_scores_gemma":[0.0004650554,0.0003246963,0.02439065,0.0008167793,0.0009022038,0.001486418,0.0004846097,0.3481965,0.07794247,0.08252271,0.4620108,0.0004570902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02087707,0.002770245,0.5756819,0.0009968554,0.0004570893,0.0003857118,0.08790319,0.3040426,0.006885397],"genre_scores_gemma":[0.1096961,0.002744354,0.6768526,0.0008091633,0.0003121268,0.001342996,0.1751433,0.02648754,0.006611736],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01501866,"threshold_uncertainty_score":0.05024248,"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."}}