{"id":"W2024002487","doi":"10.1186/jbiol144","title":"Q&A: Epistasis","year":2009,"lang":"en","type":"article","venue":"Journal of Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Epistasis; Biology; Evolutionary biology; Computational biology; Genetics; Gene","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":[0.0001750576,0.00006340256,0.0001153267,0.00004472957,0.00002382339,0.000004462177,0.0001312941,0.0001128398,0.00002923287],"category_scores_gemma":[0.00008980268,0.00005090389,0.00009865178,0.00004280616,0.0000445291,0.00000110266,0.00001575482,0.00007411255,0.0000096721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008036814,"about_ca_system_score_gemma":0.00004959997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.698469e-7,"about_ca_topic_score_gemma":0.000006335375,"domain_scores_codex":[0.9994898,0.00004623928,0.0002230764,0.00007978125,0.00004106712,0.0001199693],"domain_scores_gemma":[0.9995537,0.000005341893,0.0001505044,0.0001197382,0.0001092201,0.0000614891],"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":[0.0001371083,0.000102921,0.005000946,0.000002240919,0.00005971309,0.000004157098,0.0000233923,0.000138733,0.9462983,0.001413441,0.01966008,0.02715897],"study_design_scores_gemma":[0.001188808,0.002648735,0.04544977,0.000009290929,0.00003636012,0.0006711969,0.00004010425,0.00004532804,0.0156519,0.00657054,0.927447,0.0002409577],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9633701,0.002191963,0.02970475,0.001811305,0.0003409554,0.00003385582,0.000006774022,0.000003474816,0.002536857],"genre_scores_gemma":[0.9931854,0.0004739838,0.004417975,0.001021144,0.0003419076,1.764946e-7,0.00001688083,0.000003672131,0.0005388681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9306464,"threshold_uncertainty_score":0.20758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01130402101724984,"score_gpt":0.2959505349775743,"score_spread":0.2846465139603245,"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."}}