{"id":"W4391291282","doi":"10.52269/22266070_2023_3_98","title":"IMPROVEMENT OF BREEDING AND PRODUCTIVE QUALITIESOF THE ABERDEEN ANGUS BREED IN NORTHERN KAZAKHSTAN","year":2023,"lang":"en","type":"article","venue":"3i intellect idea innovation - интеллект идея инновация","topic":"Food Industry and Aquatic Biology","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breed; Livestock; Biology; Stock (firearms); Selective breeding; Genotype; Veterinary medicine; Animal breeding; Animal science; Biotechnology; Geography; Ecology; Genetics","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":[0.001340964,0.0001868896,0.0002634329,0.000103773,0.0001794352,0.0000398863,0.0002731198,0.0001696923,0.0001575317],"category_scores_gemma":[0.0006995471,0.00007588119,0.0000434002,0.003148783,0.0002383856,0.0001291426,0.0001478905,0.0003061756,0.00002281909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004947222,"about_ca_system_score_gemma":0.00002687215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001147532,"about_ca_topic_score_gemma":0.001767829,"domain_scores_codex":[0.9982603,0.0001183331,0.0006756998,0.000368105,0.0002301468,0.0003474382],"domain_scores_gemma":[0.9987981,0.0005268857,0.0002747274,0.0001069619,0.0002638427,0.0000294436],"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":[0.0001973876,0.0001565724,0.04717734,0.00005631296,0.00009579775,0.000004367561,0.004532355,0.00003547584,0.6002371,0.008895306,0.004889847,0.3337221],"study_design_scores_gemma":[0.001609278,0.00759723,0.6018611,0.0003968632,0.00005892721,0.00003465074,0.0568278,0.001125409,0.2563256,0.0266798,0.04593094,0.001552431],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990837,0.00005918376,0.000007672264,0.007062605,0.0002060502,0.0004609726,0.0000384072,0.00006636618,0.001261782],"genre_scores_gemma":[0.9980969,0.00002678573,0.00001453949,0.0003644683,0.0002378042,0.00004899485,0.00008956356,0.000002665276,0.001118259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5546837,"threshold_uncertainty_score":0.3094345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05582639009997963,"score_gpt":0.264015140625007,"score_spread":0.2081887505250274,"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."}}