{"id":"W2110668915","doi":"10.1534/g3.115.016576","title":"Leveraging DNA Damage Response Signaling to Identify Yeast Genes Controlling Genome Stability","year":2015,"lang":"en","type":"article","venue":"G3 Genes Genomes Genetics","topic":"DNA Repair Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Human Genome Research Institute; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Genome instability; Genome; Biology; Genetics; Gene; Saccharomyces cerevisiae; Carcinogenesis; Human genome; Computational biology; Genetic screen; DNA damage; Phenotype; DNA","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001983811,0.0005360391,0.0004887962,0.0001905738,0.0002181364,0.0001841763,0.0008251261,0.0002946016,0.00006443621],"category_scores_gemma":[0.00008980017,0.0005933672,0.000248784,0.0002920663,0.000109337,0.00001193359,0.0007382691,0.0001560289,0.0001776173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001607694,"about_ca_system_score_gemma":0.0004642032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001166961,"about_ca_topic_score_gemma":0.00001954373,"domain_scores_codex":[0.9961116,0.0005168749,0.0007113427,0.001163563,0.0005739151,0.0009226897],"domain_scores_gemma":[0.9970889,0.00004450607,0.000211117,0.001428122,0.0005133381,0.0007140369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007185158,0.00006759512,0.001953648,0.00003219147,0.0001209144,0.00002380778,0.0007566752,0.01186437,0.9557899,0.000005814848,0.00006155109,0.02860499],"study_design_scores_gemma":[0.001183969,0.0005594204,0.001097127,0.00001430593,0.0000771917,0.00003195995,0.001314748,0.0005706723,0.8476235,0.0001235297,0.1466434,0.0007602883],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8672898,0.1147422,0.01618835,0.0001356966,0.000591152,0.0007195475,0.00009288854,0.00008747965,0.0001527936],"genre_scores_gemma":[0.9782066,0.002725499,0.01678173,0.0005670079,0.0008080772,0.00008782769,0.0001424071,0.0001488631,0.000532011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1465818,"threshold_uncertainty_score":0.9996518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03841330450931098,"score_gpt":0.2873527448326468,"score_spread":0.2489394403233359,"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."}}