{"id":"W4237260514","doi":"10.1554/03-408","title":"THE QUANTITATIVE GENETICS OF FLUCTUATING ASYMMETRY: A COMPARISON OF TWO MODELS","year":2004,"lang":"en","type":"article","venue":"Evolution","topic":"Morphological variations and asymmetry","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Heritability; Biology; Genetic correlation; Quantitative genetics; Trait; Diallel cross; Genetic model; Fluctuating asymmetry; Genetic variation; Evolutionary biology; Asymmetry; Correlation; Statistics; Genetics; Mathematics; Botany; Physics","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":[0.004053466,0.0008953686,0.001059357,0.001587558,0.0003764179,0.001864668,0.001516315,0.001136295,0.003195294],"category_scores_gemma":[0.007300034,0.0003361425,0.001345108,0.0009323384,0.001165726,0.001627928,0.00100965,0.0006506466,0.0003036544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001774141,"about_ca_system_score_gemma":0.0008815612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004138105,"about_ca_topic_score_gemma":0.001940888,"domain_scores_codex":[0.9988012,0.0006854124,0.0000430769,0.0001558109,0.0002458779,0.00006857958],"domain_scores_gemma":[0.9950722,0.003993429,0.000319413,0.0002154846,0.0002458561,0.0001535145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003586452,0.0001391646,0.009807703,0.0003445577,0.0005497432,0.0002054159,0.000467441,0.4338436,0.002695032,0.5023367,0.002256732,0.04699527],"study_design_scores_gemma":[0.0001268961,0.000128877,0.006229195,0.00005088797,0.0001513629,0.0001291797,0.0001152433,0.7601155,0.0002813019,0.2299417,0.002641315,0.00008851361],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2536098,0.006345567,0.7071645,0.004447266,0.0002913132,0.000137787,0.0007001248,0.0005427302,0.02676083],"genre_scores_gemma":[0.9180524,0.003888616,0.07247198,0.0004741522,0.0003053134,0.0002906943,0.0005401402,0.0001802221,0.003796335],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004138105,"threshold_uncertainty_score":0.02143699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1073948592290905,"score_gpt":0.3834490306279857,"score_spread":0.2760541713988952,"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."}}