{"id":"W2809000676","doi":"10.1093/nar/gky311","title":"GeneMANIA update 2018","year":2018,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1435,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences; National Human Genome Research Institute; National Institutes of Health","keywords":"Biology; Function (biology); Model organism; Set (abstract data type); Computer science; Genomics; Caenorhabditis elegans; Computational biology; Gene; Genome; 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":[0.002382126,0.001592253,0.001504477,0.004748948,0.0009710875,0.004758819,0.003963669,0.002293957,0.08790837],"category_scores_gemma":[0.0106715,0.00109346,0.001419775,0.004686885,0.0005114514,0.00326109,0.00281581,0.002844396,0.1375589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0014747,"about_ca_system_score_gemma":0.003125085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003411462,"about_ca_topic_score_gemma":0.005691962,"domain_scores_codex":[0.9988783,0.0001656366,0.0001081526,0.0002073115,0.0004721245,0.0001685331],"domain_scores_gemma":[0.9969608,0.0007166762,0.0003045601,0.0004257658,0.000931735,0.0006603911],"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":[0.0001819194,0.00002303792,0.0003062888,0.0006428464,0.00002602124,0.00008631334,0.00004927455,0.0001146906,0.001071863,0.002115806,0.9298345,0.06554738],"study_design_scores_gemma":[0.00001417235,0.00001031719,0.0001946736,0.00009378577,0.00001257512,0.0001006698,0.000005506531,0.00005995063,0.000310321,0.0005261849,0.9986635,0.000008418668],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.00483447,0.07408326,0.05431736,0.02715696,0.02612558,0.0007896444,0.3107692,0.2770612,0.2248622],"genre_scores_gemma":[0.009427849,0.04371302,0.06325538,0.01900822,0.004703352,0.001799663,0.6268903,0.05164381,0.1795584],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.08790837,"threshold_uncertainty_score":0.2940828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02920307701016343,"score_gpt":0.3218955130479575,"score_spread":0.2926924360377941,"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."}}