{"id":"W2024559151","doi":"10.1046/j.1365-2540.2000.00764.x","title":"Estimating quantitative genetic parameters in haplodiploid organisms","year":2000,"lang":"en","type":"article","venue":"Heredity","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Haplodiploidy; Biology; Pedigree chart; Diallel cross; Ploidy; Heterosis; Mating design; Inbreeding; Statistics; Genetics; Evolutionary biology; Hybrid; Population; Mathematics; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009631697,0.0003751744,0.0005785418,0.0008276248,0.0002780477,0.0008557086,0.0007034614,0.0005361266,0.0004213585],"category_scores_gemma":[0.007073906,0.0005307553,0.0002482862,0.000901863,0.0004927299,0.0008882508,0.0005804719,0.0006266506,0.0001068858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008964848,"about_ca_system_score_gemma":0.0004258598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006835722,"about_ca_topic_score_gemma":0.005074716,"domain_scores_codex":[0.9998148,0.00006508766,0.00001202928,0.00006638836,0.0000293888,0.00001230008],"domain_scores_gemma":[0.9977987,0.001688489,0.0002126813,0.0001636482,0.00007921137,0.00005719567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001994808,0.00006102643,0.08344513,0.00008494792,0.0001104895,0.0001494182,0.0002551654,0.7659622,0.05678709,0.009734787,0.0001793218,0.08303089],"study_design_scores_gemma":[0.00002045498,0.00002757947,0.02778416,0.000008285116,0.00002020118,0.0001001635,0.00006639052,0.9487559,0.007417468,0.01544365,0.0003216647,0.00003412964],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8666563,0.0001983209,0.13239,0.00005398791,0.00000334865,0.000009364751,0.0001636759,0.0001517334,0.0003733488],"genre_scores_gemma":[0.9487577,0.0001506602,0.05036604,0.00001318946,0.00000356919,0.00001271309,0.0003198538,0.00004816431,0.0003280545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006835722,"threshold_uncertainty_score":0.01359189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0118945701041493,"score_gpt":0.2630136936197363,"score_spread":0.251119123515587,"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."}}