{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003290092,0.0003264096,0.0003449257,0.001308818,0.00021422,0.0007067834,0.0003740271,0.000274328,0.001834478],"category_scores_gemma":[0.003713503,0.0001082221,0.0006539486,0.0007655884,0.0002314418,0.0004821536,0.0003018148,0.0002009382,0.0002846229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005672959,"about_ca_system_score_gemma":0.0002637146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009335984,"about_ca_topic_score_gemma":0.008354764,"domain_scores_codex":[0.999071,0.0003018213,0.00005530616,0.0002582444,0.0001944841,0.0001191933],"domain_scores_gemma":[0.9975713,0.001341423,0.0002693604,0.0001602906,0.0005373771,0.0001201763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006285557,0.0000781897,0.9162076,0.0001156804,0.0005850503,0.0004438273,0.0007023095,0.01808441,0.008880551,0.001666706,0.001299464,0.05130768],"study_design_scores_gemma":[0.00001044577,0.0002941753,0.951503,0.00002171753,0.0002266368,0.0002900449,0.000651988,0.0424116,0.002842672,0.0004969085,0.001220551,0.0000302529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863552,0.0005855522,0.0107114,0.00004646565,0.00001207371,0.00001400642,0.0006173792,0.00008878368,0.001569172],"genre_scores_gemma":[0.994539,0.0001350517,0.003209726,0.00001286564,0.000006594631,0.00001135166,0.001177583,0.00002018071,0.0008875829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009335984,"threshold_uncertainty_score":0.01856333,"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."}}