{"id":"W4285125302","doi":"10.2478/sg-2022-0005","title":"Estimating of Additive, Dominance, and Epistatic Genetic Variance in Eucalypt Hybrid Population","year":2022,"lang":"en","type":"article","venue":"Silvae genetica/Silvae Genetica","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre de Recherche Industrielle du Québec","funders":"Centre de Coopération Internationale en Recherche Agronomique pour le Développement","keywords":"Epistasis; Biology; Genetic variation; Dominance (genetics); Covariance; Quantitative genetics; Population; Evolutionary biology; Genetics; Statistics; Mathematics; Gene; Demography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004049525,0.0004659144,0.0005513111,0.0002088944,0.0002858409,0.00003247509,0.0005520344,0.0001384586,0.0002320498],"category_scores_gemma":[0.0001794073,0.000545556,0.0001334546,0.0003896589,0.00035803,0.000007648064,0.0005961265,0.0003116479,0.000008770472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005113494,"about_ca_system_score_gemma":0.0001858764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00012706,"about_ca_topic_score_gemma":0.00006485683,"domain_scores_codex":[0.996285,0.0004151958,0.0009743964,0.001093787,0.0005004046,0.0007311876],"domain_scores_gemma":[0.9983783,0.00009974276,0.0003654085,0.0008318725,0.0001068865,0.0002177382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001532578,0.001823929,0.1595605,0.0007410767,0.0004957112,0.00007436897,0.001715563,0.3529983,0.246546,0.008002734,0.00319602,0.2233132],"study_design_scores_gemma":[0.002384973,0.001730567,0.9592375,0.00006585156,0.000127949,0.0001765192,0.0002401449,0.005554354,0.01468901,0.01126801,0.00356091,0.0009641696],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762338,0.004748292,0.01635677,0.0001048245,0.0004769955,0.0008174763,0.0002621814,0.0000229413,0.0009766712],"genre_scores_gemma":[0.8094643,0.0001476433,0.1892866,0.0001600081,0.0002056255,0.0002368838,0.0001826471,0.00007276997,0.0002434972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.799677,"threshold_uncertainty_score":0.9996996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005356261081217894,"score_gpt":0.2234272435535454,"score_spread":0.2180709824723275,"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."}}