{"id":"W3130084604","doi":"10.1016/j.psj.2021.101062","title":"Modeling genetic components of hatch of fertile in broiler breeders","year":2021,"lang":"en","type":"article","venue":"Poultry Science","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Repeatability; Heritability; Statistics; Selection (genetic algorithm); Trait; Regression analysis; Regression; Biology; Random effects model; Linear regression; Genetic correlation; Animal model; Animal science; Broiler; Mathematics; Genetic variation; Medicine; Computer science; Genetics","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":[0.001800507,0.0005683968,0.0003330752,0.0004596346,0.0002027672,0.000507645,0.0005968778,0.0005708968,0.0007149391],"category_scores_gemma":[0.003775143,0.0004199747,0.0007552814,0.0002378248,0.0002747042,0.0002839242,0.0003052028,0.0003455094,0.0001182419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005283031,"about_ca_system_score_gemma":0.000587559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02436835,"about_ca_topic_score_gemma":0.02362275,"domain_scores_codex":[0.9997805,0.00009336216,0.000008562031,0.00005784894,0.00001844291,0.00004130754],"domain_scores_gemma":[0.9983525,0.001246469,0.0002102333,0.00006077448,0.00007226301,0.00005780743],"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":[0.0002409916,0.0001347666,0.1171403,0.00003166398,0.0003027671,0.0002399969,0.0001319968,0.8677833,0.004098269,0.0008314903,0.000124943,0.008939486],"study_design_scores_gemma":[0.00001286831,0.0001654844,0.05816712,0.000008758575,0.00007560426,0.00005589428,0.00004771554,0.940287,0.0005640645,0.0005004624,0.00009669545,0.00001829346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982587,0.00006325722,0.01697365,0.00002962966,0.000002935765,0.00001012224,0.00007818289,0.00004309232,0.0002121252],"genre_scores_gemma":[0.9942387,0.00005564189,0.004653556,0.000009716605,0.000002784258,0.00001701659,0.000183153,0.0000210541,0.0008184122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02436835,"threshold_uncertainty_score":0.04845303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04046358083939949,"score_gpt":0.2380393601579455,"score_spread":0.197575779318546,"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."}}