{"id":"W2010797414","doi":"10.1080/00071660120103657","title":"Monthly model for genetic evaluation of laying hens II. Random regression","year":2002,"lang":"en","type":"article","venue":"British Poultry Science","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sire; Covariate; Heritability; Restricted maximum likelihood; Statistics; Random effects model; Rank correlation; Best linear unbiased prediction; Mathematics; Mixed model; Regression analysis; Spearman's rank correlation coefficient; Trait; Regression; Linear regression; Maximum likelihood; Animal science; Biology; Selection (genetic algorithm); Medicine; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005493138,0.001009239,0.001102527,0.0008088659,0.0003251735,0.0008062922,0.002692502,0.000881292,0.01053543],"category_scores_gemma":[0.0100378,0.0005272615,0.002089566,0.001032147,0.000404207,0.001250574,0.0007483228,0.001115883,0.003432836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008112689,"about_ca_system_score_gemma":0.000814258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01284609,"about_ca_topic_score_gemma":0.007870527,"domain_scores_codex":[0.9975582,0.001537208,0.00007131076,0.0004692285,0.0001981899,0.0001657631],"domain_scores_gemma":[0.9958139,0.00256097,0.0005614563,0.0005264364,0.0004086304,0.0001285789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001085113,0.0001680305,0.03317184,0.000228017,0.0006135167,0.0003276876,0.0001685381,0.8071509,0.002984578,0.05371298,0.005943927,0.0944448],"study_design_scores_gemma":[0.00003919004,0.0001058898,0.004529325,0.00002010359,0.00005754172,0.00009713134,0.00001083145,0.9851927,0.0002562643,0.007689286,0.001973351,0.00002844697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0525264,0.0004044489,0.9421635,0.0002097897,0.00009016734,0.0001222135,0.001601639,0.001100096,0.001781755],"genre_scores_gemma":[0.6135136,0.0006838017,0.343082,0.000252899,0.000262396,0.001229099,0.007271923,0.001556397,0.03214771],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01284609,"threshold_uncertainty_score":0.03524446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07992937577293087,"score_gpt":0.275939102293923,"score_spread":0.1960097265209922,"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."}}