{"id":"W1808669345","doi":"","title":"Challenges and opportunities for global dairy cattle breeding - A Canadian perspective","year":2009,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breed; Genomic selection; Biotechnology; Selection (genetic algorithm); Biology; Livestock; Agricultural science; Business; Animal science; Genetics; Computer science; Genotype; Single-nucleotide polymorphism","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007739965,0.0003436614,0.0002335644,0.000110568,0.0001862599,0.0001018542,0.0004854084,0.0002426295,0.001048894],"category_scores_gemma":[0.0003113075,0.0003748497,0.0001195372,0.00004210666,0.00008386984,0.000006462533,0.0001107576,0.0001244619,0.00009398854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002409233,"about_ca_system_score_gemma":0.0003029751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00207214,"about_ca_topic_score_gemma":0.004394847,"domain_scores_codex":[0.99782,0.0001254262,0.0004063315,0.0007676498,0.0004557429,0.0004248891],"domain_scores_gemma":[0.9977976,0.00005296803,0.0001773926,0.000326256,0.001350582,0.0002951943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001768751,0.0006375551,0.0002675242,0.0001390488,0.001041696,0.00001007241,0.003753089,0.003012912,0.002180893,0.4055892,0.4124405,0.1691587],"study_design_scores_gemma":[0.002175257,0.0009890222,0.01762388,0.0001080049,0.0001244617,0.0001316496,0.00599769,0.000392522,0.000288535,0.01278283,0.9587786,0.0006075008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08075242,0.01485625,0.006101626,0.5879813,0.001742416,0.002453768,0.0005946764,0.0001211818,0.3053963],"genre_scores_gemma":[0.9713407,0.0006306538,0.009727112,0.01409922,0.001016481,0.0002045331,0.0005292252,0.00003983487,0.002412309],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8905882,"threshold_uncertainty_score":0.9998704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07438941896657539,"score_gpt":0.3132796756059857,"score_spread":0.2388902566394103,"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."}}