{"id":"W1966038228","doi":"10.1086/497441","title":"Ontogenetic Patterns in Heritable Variation for Body Size: Using Random Regression Models in a Wild Ungulate Population","year":2005,"lang":"en","type":"article","venue":"The American Naturalist","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Environment Research Council; Royal Society; Leverhulme Trust; Université de Sherbrooke","keywords":"Biology; Heritability; Trait; Selection (genetic algorithm); Regression; Genetic variation; Population; Ungulate; Regression analysis; Natural selection; Genetic correlation; Evolutionary biology; Additive genetic effects; Ecology; Statistics; Genetics; Demography; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002039414,0.0001385461,0.0001857735,0.00003663599,0.00006621971,0.00001887177,0.000164824,0.00006498576,0.000005197248],"category_scores_gemma":[0.00004490536,0.0001051934,0.00005498607,0.0001389537,0.00005141877,0.000009110892,0.00004152452,0.00009461549,5.769586e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005145401,"about_ca_system_score_gemma":0.00002821954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002538919,"about_ca_topic_score_gemma":0.001232486,"domain_scores_codex":[0.9990386,0.0001230281,0.0002436189,0.0002659804,0.00009803969,0.0002307602],"domain_scores_gemma":[0.9994727,0.00004820386,0.0001590234,0.0002593383,0.00003045033,0.00003026124],"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":[0.002828558,0.0002215495,0.03896558,0.00004783393,0.0000642586,8.647436e-7,0.001187613,0.6991119,0.2349055,0.00115059,0.0001890306,0.02132667],"study_design_scores_gemma":[0.003221137,0.0001993138,0.9255871,0.00008082055,0.00003987315,0.00001410755,0.000157067,0.06216656,0.003468767,0.004459789,0.0002308392,0.0003745753],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989303,0.0003844128,0.009436427,0.0002998578,0.00007578719,0.0004341988,0.00001854086,0.000006727314,0.00004108366],"genre_scores_gemma":[0.9824342,0.00003539094,0.01679953,0.0002759676,0.0001854617,0.00003157822,0.00007057961,0.00001995654,0.0001473858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8866216,"threshold_uncertainty_score":0.4289661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01192164693897798,"score_gpt":0.2748511253432576,"score_spread":0.2629294784042796,"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."}}