{"id":"W2130311175","doi":"10.1093/bioinformatics/btu671","title":"Novel function discovery with GeneMANIA: a new integrated resource for gene function prediction in <i>Escherichia coli</i>","year":2014,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina; University of Toronto","funders":"National Institute of General Medical Sciences; Canadian Institutes of Health Research","keywords":"Function (biology); Computational biology; Biology; Computer science; Escherichia coli; Biogenesis; Resource (disambiguation); Protein function; Gene; Genetics","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":[0.001361897,0.001657087,0.001122727,0.002846316,0.0006813853,0.001577978,0.001487186,0.0008992176,0.004603129],"category_scores_gemma":[0.003768313,0.0006861672,0.001342711,0.002106683,0.0003943513,0.001187221,0.001393643,0.0009658948,0.002391947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007169289,"about_ca_system_score_gemma":0.00135431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001879469,"about_ca_topic_score_gemma":0.003428781,"domain_scores_codex":[0.9993781,0.0001385037,0.00005057747,0.0002279693,0.0001658314,0.00003890793],"domain_scores_gemma":[0.9987122,0.0006897819,0.0001620802,0.00020913,0.0001299515,0.00009690286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004115249,0.0007429394,0.05725314,0.005266418,0.001692428,0.002876025,0.0008740489,0.1126013,0.2122517,0.02489113,0.2423066,0.335129],"study_design_scores_gemma":[0.0004134191,0.0004000737,0.01777793,0.000344489,0.0005551055,0.001894927,0.0002189912,0.6927184,0.09652348,0.03209609,0.1568547,0.0002023797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1196995,0.003183064,0.5525047,0.001135602,0.000218309,0.0003219191,0.1242066,0.1916078,0.007122419],"genre_scores_gemma":[0.2293902,0.00157094,0.5309044,0.0005651207,0.00008240642,0.0007238302,0.2287563,0.006032986,0.001973925],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004603129,"threshold_uncertainty_score":0.01539898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007439553823589437,"score_gpt":0.1878487030574318,"score_spread":0.1804091492338424,"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."}}