{"id":"W4399505153","doi":"10.1158/1538-8514.synthleth24-pr013","title":"Abstract PR013: Detecting pairwise and higher-order antagonistic epistatic effects among somatic cancer genotypes to discover synthetic lethality","year":2024,"lang":"en","type":"article","venue":"Molecular Cancer Therapeutics","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Epistasis; Biology; Mutation rate; Cancer; Pairwise comparison; Genetics; Genotype; Selection (genetic algorithm); Computational biology; Germline mutation; Mutation; Gene; Computer science; Machine learning; Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001652524,0.0003649206,0.0007278378,0.001104103,0.0003964435,0.0008063168,0.000771713,0.0006527997,0.003027798],"category_scores_gemma":[0.007227711,0.0002705919,0.0008168953,0.001005121,0.0006174428,0.0004774407,0.0009433383,0.0009368213,0.0003743989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004427341,"about_ca_system_score_gemma":0.0005776836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001908271,"about_ca_topic_score_gemma":0.002227467,"domain_scores_codex":[0.9991794,0.0002196272,0.00005320998,0.0002836105,0.0002047572,0.00005929139],"domain_scores_gemma":[0.9965005,0.002175628,0.0005720568,0.0002880591,0.0002152455,0.000248481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001667485,0.0003421929,0.2789818,0.000642638,0.0007091185,0.001681227,0.0004328942,0.09738002,0.4702612,0.0192572,0.003854039,0.1247902],"study_design_scores_gemma":[0.0001298844,0.001078807,0.1730575,0.00004442257,0.0002659703,0.002373942,0.0003131048,0.7108219,0.07919254,0.02835546,0.004177594,0.0001888302],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7521093,0.0003146527,0.2403973,0.00039528,0.0000517315,0.000110056,0.002402741,0.001693608,0.00252536],"genre_scores_gemma":[0.937579,0.0000902139,0.05952457,0.0001288388,0.00001479938,0.00006742252,0.00156652,0.000132696,0.0008959354],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.003027798,"threshold_uncertainty_score":0.01012897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01130873698320754,"score_gpt":0.2809471946683809,"score_spread":0.2696384576851733,"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."}}