{"id":"W140876953","doi":"10.2527/2006.84125x","title":"Age of dam and sex of calf adjustments and genetic parameters for gestation length in Charolais cattle1","year":2006,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Restricted maximum likelihood; Heritability; Ice calving; Maternal effect; Animal science; Biology; Herd; Random effects model; Genetic correlation; Best linear unbiased prediction; Gestation; Statistics; Covariance; Genetic variation; Mathematics; Maximum likelihood; Lactation; Genetics; Selection (genetic algorithm); Internal medicine; Pregnancy; Medicine; Offspring","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003156188,0.0005176244,0.0003392057,0.001202577,0.0005737388,0.000672926,0.0007966848,0.0005578421,0.001428459],"category_scores_gemma":[0.007109133,0.0003871409,0.0005984674,0.001320364,0.000505738,0.0002837905,0.0003451069,0.0005349159,0.0001724758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001871428,"about_ca_system_score_gemma":0.001796205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2028049,"about_ca_topic_score_gemma":0.308568,"domain_scores_codex":[0.9990482,0.0004846537,0.00003902736,0.0002254363,0.000106324,0.00009631363],"domain_scores_gemma":[0.9969373,0.001477625,0.0008282167,0.0002568678,0.0002410225,0.000259033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002873816,0.00003734712,0.9917162,0.00001138017,0.0001823547,0.00006489168,0.0001405506,0.001546955,0.000864229,0.0001364382,0.0001184902,0.004893714],"study_design_scores_gemma":[0.00000741469,0.00004513484,0.9927467,0.000009483949,0.00006256965,0.00006305197,0.0000710974,0.006471856,0.0001227185,0.0001708729,0.0002182671,0.00001092519],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984492,0.0002134018,0.0009239531,0.00002757643,0.000002581693,0.000005352766,0.0002209261,0.00001142685,0.0001454713],"genre_scores_gemma":[0.9966883,0.00008117759,0.002104779,0.00001526944,0.000005065912,0.00001219015,0.0006619865,0.0000115989,0.0004196622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2028049,"threshold_uncertainty_score":0.4032488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01270560825904173,"score_gpt":0.2583334978097808,"score_spread":0.245627889550739,"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."}}