{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001448941,0.000584755,0.0006274448,0.0005556216,0.0006377155,0.001716969,0.0007905199,0.0009909114,0.04191627],"category_scores_gemma":[0.006547386,0.0002701083,0.0005229057,0.0005446331,0.0009735948,0.002300953,0.001477664,0.001216897,0.006122679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006299909,"about_ca_system_score_gemma":0.0007427531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007103369,"about_ca_topic_score_gemma":0.0007243984,"domain_scores_codex":[0.9991212,0.0003565238,0.00004776594,0.000212473,0.0001656431,0.00009635578],"domain_scores_gemma":[0.9977404,0.00112856,0.000221914,0.0003892629,0.0002606441,0.0002593132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006957147,0.0001663019,0.004597348,0.000456507,0.0001751856,0.0007846782,0.0002242467,0.004004029,0.05964644,0.6797198,0.07173028,0.1777995],"study_design_scores_gemma":[0.0004422315,0.0004019822,0.01271405,0.00006666446,0.0001700555,0.003586555,0.0002780412,0.0747365,0.02164788,0.7280774,0.1576805,0.0001981586],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.2200253,0.001208699,0.578386,0.01983371,0.002875182,0.0003001601,0.004354472,0.01018484,0.1628316],"genre_scores_gemma":[0.8854458,0.0004572737,0.06918504,0.001814347,0.0005181243,0.0001946917,0.000770324,0.000793213,0.04082121],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04191627,"threshold_uncertainty_score":0.1402239,"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."}}