{"id":"W2148726194","doi":"10.1038/msb.2010.82","title":"Genetic interactions reveal the evolutionary trajectories of duplicate genes","year":2010,"lang":"en","type":"article","venue":"Molecular Systems Biology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Human Genome Research Institute; National Institutes of Health; Canadian Institutes of Health Research; Genome Canada; Ontario Genomics; Magyar Tudományos Akadémia; Hungarian Scientific Research Fund; Ontario Genomics Institute; Canadian Institute for Advanced Research; University of Minnesota","keywords":"Biology; Gene; Genetics; Genome; Evolutionary biology; Computational biology","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":[0.0005630289,0.0001405745,0.0003755811,0.001023599,0.000582158,0.0007689115,0.000324047,0.0004195187,0.0007877421],"category_scores_gemma":[0.002469985,0.000324352,0.000224795,0.0009346593,0.0004330614,0.0007357057,0.0006591697,0.0006259672,0.000247078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007911711,"about_ca_system_score_gemma":0.0003507675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001455034,"about_ca_topic_score_gemma":0.001797535,"domain_scores_codex":[0.9997504,0.0000419287,0.00001630125,0.00008607445,0.00007013919,0.00003502816],"domain_scores_gemma":[0.9991455,0.0003090349,0.0002297967,0.00009062771,0.0001197767,0.0001052359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008520606,0.0001041717,0.2370695,0.0002391594,0.0002559052,0.001489417,0.001362244,0.03517114,0.638069,0.0273542,0.0007357455,0.05729754],"study_design_scores_gemma":[0.00006066533,0.0003477186,0.6581481,0.00005941966,0.0003182027,0.003683502,0.001492518,0.1435914,0.1223793,0.05644071,0.01328265,0.0001958067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940107,0.0003819531,0.004496816,0.00009386006,0.000002742612,0.000004393181,0.0001541815,0.00002292457,0.000832401],"genre_scores_gemma":[0.9947655,0.0002228338,0.004135598,0.00002555968,0.000003118614,0.000009480524,0.0002825565,0.00001471298,0.0005405738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001455034,"threshold_uncertainty_score":0.005740404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006062301342679183,"score_gpt":0.2305591777771554,"score_spread":0.2244968764344762,"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."}}