{"id":"W4385287380","doi":"10.31073/abg.65.11","title":"REGIONAL CENTERS FOR THE BREEDING OF HOLSTEIN CATTLE OF UKRAINE","year":2023,"lang":"en","type":"article","venue":"Animal Breeding and Genetics","topic":"Agriculture and Biological Studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Biology; Animal science","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":[0.000157682,0.00007399455,0.0001301329,0.000005364175,0.0001544487,0.000008780988,0.0001180687,0.00004993415,0.000005962393],"category_scores_gemma":[0.00004003378,0.00002056442,0.00007039117,0.0002017638,0.0001298169,0.00001230582,0.00008600851,0.00003646232,8.823973e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002396251,"about_ca_system_score_gemma":0.00000128384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006235206,"about_ca_topic_score_gemma":0.00006114999,"domain_scores_codex":[0.9994731,0.000008318778,0.0001445056,0.0001260732,0.00009675083,0.0001512428],"domain_scores_gemma":[0.9994163,0.0003958535,0.00007205319,0.00001812379,0.000070801,0.00002689114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005987215,0.00002132394,0.03078949,0.00001899163,0.00003893545,2.293304e-7,0.0001658852,0.000005456179,0.9302647,0.0004582803,0.008406431,0.02977039],"study_design_scores_gemma":[0.0001740385,0.001915528,0.9556001,0.00003419235,0.00003822555,0.00000387043,0.002298287,0.0001854213,0.01327026,0.0002301886,0.02612709,0.0001228143],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995149,0.001121696,0.000002894874,0.003421482,0.00004294379,0.0001136571,0.0000401172,0.00001690679,0.00009125629],"genre_scores_gemma":[0.9981992,0.001300298,0.0000492032,0.0001025803,0.0002240904,0.000006792001,0.00001584279,4.719395e-7,0.0001015286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9248106,"threshold_uncertainty_score":0.1187911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07496801644935916,"score_gpt":0.2506701860167178,"score_spread":0.1757021695673587,"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."}}