{"id":"W1985213868","doi":"10.1093/nar/gkq537","title":"The GeneMANIA prediction server: biological network integration for gene prioritization and predicting gene function","year":2010,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5113,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Biology; Function (biology); Model organism; Organism; Computer science; Set (abstract data type); Exploit; Caenorhabditis elegans; Computational biology; Gene; Genetics","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":[0.001131923,0.002274074,0.001494599,0.003207088,0.0008148032,0.001588766,0.001969334,0.0007160038,0.01849454],"category_scores_gemma":[0.002527545,0.0009691382,0.001569909,0.002312125,0.0002733811,0.001720002,0.00131656,0.001449613,0.008944546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008220836,"about_ca_system_score_gemma":0.001665246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003576797,"about_ca_topic_score_gemma":0.003988331,"domain_scores_codex":[0.9996094,0.00007608978,0.0000298166,0.0001229999,0.000118535,0.0000432162],"domain_scores_gemma":[0.9992968,0.0002626088,0.0000990147,0.0001088999,0.0001408686,0.00009180701],"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":[0.002159549,0.00043936,0.01812072,0.00332367,0.001028333,0.0008257389,0.0004995164,0.04218658,0.05664142,0.01404385,0.6107143,0.250017],"study_design_scores_gemma":[0.0007070749,0.0003593474,0.01533337,0.0002961633,0.0004523074,0.001693071,0.0002199963,0.6920776,0.04915703,0.0306251,0.20883,0.0002489008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.02637503,0.001262833,0.5246238,0.000489688,0.0002992155,0.0005344434,0.1468405,0.2928168,0.006757803],"genre_scores_gemma":[0.09987001,0.001596532,0.5080693,0.0002776352,0.0001338965,0.001497805,0.3670759,0.01467778,0.006801085],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01849454,"threshold_uncertainty_score":0.0618704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02415407617581905,"score_gpt":0.2863397790352,"score_spread":0.2621857028593809,"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."}}