{"id":"W2116443392","doi":"10.1093/nar/gkt533","title":"GeneMANIA Prediction Server 2013 Update","year":2013,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":403,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences","keywords":"Biology; Function (biology); Set (abstract data type); Model organism; Caenorhabditis elegans; Computer science; Genomics; Gene; Gene nomenclature; Computational biology; Genome; Genetics; Ecology; Taxonomy (biology)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002438745,0.003633761,0.002828027,0.003244683,0.001397824,0.003983131,0.005358849,0.001811747,0.04724207],"category_scores_gemma":[0.005265471,0.002405392,0.002607887,0.003840133,0.0003931629,0.002470817,0.0019387,0.00322452,0.09289197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001459502,"about_ca_system_score_gemma":0.003329134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005064929,"about_ca_topic_score_gemma":0.005489246,"domain_scores_codex":[0.9988492,0.0001693896,0.0001211515,0.0003560597,0.0003573679,0.0001469254],"domain_scores_gemma":[0.9982822,0.000390072,0.0001381983,0.0003924178,0.0005563543,0.0002408884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007535967,0.00008637924,0.001628214,0.000807418,0.0001679029,0.0001871746,0.0000589453,0.0009387562,0.003516459,0.001880832,0.9558377,0.03413674],"study_design_scores_gemma":[0.0005527182,0.0001050484,0.004624866,0.0003695906,0.0002753987,0.0008327331,0.00005531182,0.02093774,0.0117752,0.008964131,0.9513432,0.000163992],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.005866251,0.003472006,0.05235121,0.001647028,0.001346599,0.0002869658,0.5357795,0.382479,0.01677145],"genre_scores_gemma":[0.007321754,0.001356329,0.03248062,0.00056253,0.0001492273,0.0004506768,0.9307999,0.0182292,0.008649683],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.04724207,"threshold_uncertainty_score":0.1580405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01969883482439367,"score_gpt":0.2807602535965554,"score_spread":0.2610614187721617,"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."}}