{"id":"W1999710952","doi":"10.4141/cjas08059","title":"Short-term selection for yearling weight in a small-experimental Iranian Afshari sheep flock","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Animal Science","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Heritability; Flock; Biology; Best linear unbiased prediction; Animal science; Selection (genetic algorithm); Restricted maximum likelihood; Genetic gain; Weaning; Weight gain; Trait; Genetic correlation; Breeding program; Animal breeding; Body weight; Veterinary medicine; Genetic variation; Statistics; Genetics; Maximum likelihood; Mathematics; Agronomy; Ecology; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0008983244,0.0003696633,0.0003552374,0.0003471197,0.0002950347,0.00025113,0.0003492384,0.0001987438,0.0004320216],"category_scores_gemma":[0.0005396385,0.0001743665,0.0003414945,0.0001356206,0.0002572435,0.0001716647,0.0001601031,0.0003394632,0.000101288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00032894,"about_ca_system_score_gemma":0.0002609648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003225767,"about_ca_topic_score_gemma":0.01218229,"domain_scores_codex":[0.9998016,0.00006110579,0.00001103403,0.00007271525,0.00002512052,0.00002842176],"domain_scores_gemma":[0.9995542,0.00009478038,0.0001015107,0.00005220113,0.0000609284,0.0001364072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.006868239,0.004026805,0.2171039,0.00007403644,0.000449554,0.0005071405,0.001277439,0.001226051,0.7369382,0.000180046,0.0002925097,0.03105594],"study_design_scores_gemma":[0.0002627537,0.009527775,0.9598847,0.000009192539,0.0002229071,0.0002355734,0.0003402697,0.004871991,0.02375306,0.00007043914,0.0007916824,0.00002953911],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998761,0.00001033999,0.00007187434,0.000003005356,0.000001662706,0.000003279502,0.00001118162,0.000002374323,0.0000201215],"genre_scores_gemma":[0.9977345,0.00003418694,0.001497385,0.00002596015,0.000006405752,0.0000366487,0.0001841664,0.000006712703,0.0004740004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003225767,"threshold_uncertainty_score":0.006413996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01756243310690095,"score_gpt":0.2605051062853744,"score_spread":0.2429426731784734,"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."}}