{"id":"W3115617422","doi":"10.26897/0021-342x-2020-4-155-163","title":"COMPARATIVE ANALYSIS OF THE EVALUATION RESULTS OF HOLSTEIN BLACK-MOTLEY BREEDING BULLS BY THEIR DAUGHTERS’ PRODUCTIVITY BASED ON OFFICIAL INSTRUCTIONS AND BLUP MODEL","year":2020,"lang":"en","type":"article","venue":"Izvestiâ Timirâzevskoj selʹskohozâjstvennoj akademii","topic":"Food Industry and Aquatic Biology","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Best linear unbiased prediction; Breed; Progeny testing; Dairy cattle; Population; Biology; Animal science; Selection (genetic algorithm); Productivity; Holstein Cattle; Biotechnology; Agricultural science; Statistics; Demography; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.000819874,0.0002766737,0.0006529876,0.0000505967,0.000213375,0.00002298395,0.0003976809,0.0002784885,0.00005790641],"category_scores_gemma":[0.0005111302,0.0001166851,0.0002020991,0.001674311,0.0006048332,0.0001344159,0.0001102948,0.000425144,0.00000226933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003522453,"about_ca_system_score_gemma":0.00006719943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001203309,"about_ca_topic_score_gemma":0.00009868465,"domain_scores_codex":[0.9975297,0.0004735309,0.00065882,0.0006026911,0.0004640721,0.0002712216],"domain_scores_gemma":[0.9983246,0.0005338484,0.0005984621,0.0001824884,0.0002268749,0.0001337567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008197069,0.0004475353,0.003941206,0.00004287233,0.0005600675,4.888706e-7,0.003358757,0.150145,0.8242257,0.0003379071,0.004439692,0.01168102],"study_design_scores_gemma":[0.000852478,0.001258951,0.0249028,0.00008570502,0.0007021258,0.000001784979,0.001023275,0.8975604,0.07210458,0.0002369832,0.0009117504,0.0003592151],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878905,0.00003740848,0.00008354399,0.009033314,0.00008128619,0.0006233906,0.001416253,0.00003469698,0.0007996524],"genre_scores_gemma":[0.9990325,0.000006182871,0.0001562848,0.0003741761,0.0001203085,0.00001734875,0.0002441885,0.000002052774,0.00004695322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7521212,"threshold_uncertainty_score":0.475828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1181354238111568,"score_gpt":0.2792595431259544,"score_spread":0.1611241193147976,"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."}}