{"id":"W2030646784","doi":"10.1111/j.1740-0929.2004.00187.x","title":"Overview of genetic evaluation in dairy cattle","year":2004,"lang":"en","type":"article","venue":"Animal Science Journal","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Best linear unbiased prediction; Sire; Selection (genetic algorithm); Statistics; Trait; Random effects model; Mathematics; Covariance; Progeny testing; Econometrics; Computer science; Biology; Artificial intelligence","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":[0.009069271,0.0009322828,0.00109354,0.005141143,0.0003600135,0.001874115,0.001172954,0.0008808685,0.003429213],"category_scores_gemma":[0.007816543,0.0004573499,0.0007178012,0.005155278,0.0008235906,0.001269777,0.0009150264,0.0008785173,0.0009608791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002395298,"about_ca_system_score_gemma":0.001990899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007800359,"about_ca_topic_score_gemma":0.004600669,"domain_scores_codex":[0.9964465,0.001926842,0.0002662388,0.0004832086,0.0007507687,0.0001265398],"domain_scores_gemma":[0.9938785,0.003060326,0.0005029556,0.0002003634,0.002081591,0.0002762915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001447063,0.00009522709,0.005762003,0.001642277,0.00009640713,0.00009980959,0.0001097705,0.004289271,0.0008421938,0.01490655,0.006967079,0.9650447],"study_design_scores_gemma":[0.0001345994,0.0009659793,0.04962296,0.0103567,0.000568943,0.001477525,0.0004070078,0.03243864,0.005097319,0.0863879,0.8122467,0.0002958182],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01517986,0.7354653,0.1789807,0.006381245,0.0009337175,0.0005057664,0.001102481,0.0007459453,0.06070494],"genre_scores_gemma":[0.142653,0.60144,0.229366,0.002817492,0.002186802,0.0006245144,0.001958136,0.0002552909,0.01869883],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009069271,"threshold_uncertainty_score":0.0479635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03789636957218564,"score_gpt":0.3216505106536219,"score_spread":0.2837541410814363,"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."}}