{"id":"W2125642929","doi":"10.1093/bioinformatics/btn440","title":"Local coherence in genetic interaction patterns reveals prevalent functional versatility","year":2008,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Canada Research Chairs; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Epistasis; Gene; Computational biology; In silico; Biology; Gene interaction; Cluster analysis; Saccharomyces cerevisiae; Genetics; Function (biology); Partition (number theory); Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001703375,0.0001634048,0.0001490388,0.00005709768,0.00007879729,0.00001802357,0.0001503061,0.0001605232,0.00007686271],"category_scores_gemma":[0.0000251624,0.0001564675,0.00007472131,0.0000833349,0.0000899177,0.00001783018,0.0001096126,0.0001480457,0.00006989422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000587744,"about_ca_system_score_gemma":0.0000829397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000232532,"about_ca_topic_score_gemma":0.00005369028,"domain_scores_codex":[0.998845,0.00002745823,0.0005448411,0.0001452857,0.0001752903,0.0002620996],"domain_scores_gemma":[0.9993533,0.00001477592,0.0001619743,0.0003223727,0.00006164204,0.00008587086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001562958,0.001178788,0.6071604,0.001905737,0.0004780131,0.00005871411,0.007495053,0.05523108,0.01157533,0.0004004526,0.0870857,0.2258678],"study_design_scores_gemma":[0.003219891,0.0008229545,0.7906117,0.0002101681,0.00004229575,0.0005043371,0.001711888,0.1724014,0.006396366,0.0003507539,0.02257961,0.001148597],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8648167,0.0001409278,0.1325655,0.00003612753,0.0003297299,0.0002865388,0.00003287751,0.00001479031,0.00177684],"genre_scores_gemma":[0.9953656,0.0002238812,0.003538147,0.0003216544,0.0001046471,0.00002123454,0.0001762612,0.00001017443,0.0002384152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2247192,"threshold_uncertainty_score":0.638056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02005842178164167,"score_gpt":0.2350388322449486,"score_spread":0.2149804104633069,"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."}}