{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002821898,0.0001249013,0.0000848837,0.0005879626,0.0006648119,0.0003419066,0.0001245182,0.00008420929,0.001308793],"category_scores_gemma":[0.000260968,0.00006240953,0.00006809312,0.0005588921,0.0003003906,0.0001317668,0.0002466184,0.00007147482,0.0001169242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004547006,"about_ca_system_score_gemma":0.0005542931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01872721,"about_ca_topic_score_gemma":0.05939806,"domain_scores_codex":[0.9998288,0.00004651391,0.000009308728,0.00003073259,0.00003876019,0.00004586607],"domain_scores_gemma":[0.9998403,0.00002550267,0.00005818299,0.00001165567,0.00003220499,0.00003223947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000343843,0.0001436634,0.888505,0.00007051076,0.00005478891,0.001222217,0.005842722,0.0003298603,0.04307531,0.000739302,0.0003482597,0.05932444],"study_design_scores_gemma":[0.000001427526,0.00009062218,0.9978372,0.000004469168,0.000006229188,0.00009712944,0.000807746,0.00003749043,0.0003505339,0.00002076919,0.000744766,0.000001587337],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994842,0.0000506127,0.00002476821,0.000009098751,6.509567e-7,9.331652e-7,0.00001568097,0.0000011574,0.0004129479],"genre_scores_gemma":[0.9991066,0.00007534678,0.0001157241,0.00000679389,0.000001044024,0.000001432633,0.00004649317,6.153396e-7,0.0006458361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01872721,"threshold_uncertainty_score":0.03723639,"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."}}