{"id":"W2124649441","doi":"10.1186/gb-2008-9-s1-s4","title":"GeneMANIA: a real-time multiple association network integration algorithm for predicting gene function","year":2008,"lang":"en","type":"article","venue":"Genome biology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1126,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Genomics; Ontario Genomics Institute; Genome Canada","keywords":"Biology; Computational biology; Function (biology); Gene regulatory network; Human genetics; Association (psychology); Genome Biology; Evolutionary biology; Gene; Genetics; Genomics; Genome; Gene expression","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":[0.002076428,0.001439715,0.001016153,0.002614314,0.0006832285,0.0009626705,0.002270499,0.001147344,0.002792554],"category_scores_gemma":[0.005741777,0.0007614111,0.001141503,0.001976813,0.0005725324,0.001515721,0.001102139,0.001615677,0.00135802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008008414,"about_ca_system_score_gemma":0.00163008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004322968,"about_ca_topic_score_gemma":0.005374587,"domain_scores_codex":[0.9993267,0.0001900767,0.0000379026,0.0002180876,0.0001834453,0.00004376372],"domain_scores_gemma":[0.9983262,0.001052473,0.0002163967,0.0001546174,0.0001895491,0.00006070603],"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":[0.0005297847,0.0002748117,0.009363098,0.0002938853,0.0004745008,0.0002670661,0.0002072792,0.2420444,0.009210638,0.01037183,0.02491996,0.7020426],"study_design_scores_gemma":[0.00005142365,0.00003599232,0.0004427619,0.00001037178,0.00003110254,0.00009494541,0.00001240902,0.9857249,0.002404692,0.008329352,0.00284717,0.00001480368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009906815,0.0003609685,0.9754044,0.0002280214,0.00004631688,0.00007843635,0.0004866695,0.01299619,0.0004922154],"genre_scores_gemma":[0.07844443,0.0001937235,0.9177351,0.0001322435,0.00004699273,0.0002946354,0.00163063,0.0005631461,0.00095915],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004322968,"threshold_uncertainty_score":0.01098138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008372168286564815,"score_gpt":0.2083843575728123,"score_spread":0.2000121892862474,"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."}}