{"id":"W3011311601","doi":"10.33943/mms.2020.71.96.005","title":"ЭФФЕКТИВНОСТЬ ИСПОЛЬЗОВАНИЯ БЫКОВ-ПРОИЗВОДИТЕЛЕЙ РАЗЛИЧНОЙ СЕЛЕКЦИИ ПРИ РАЗВЕДЕНИИ СКОТА КОСТРОМСКОЙ ПОРОДЫ","year":2020,"lang":"ru","type":"article","venue":"Molochnoe i miasnoe skotovodstvo","topic":"Food Industry and Aquatic Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breed; Animal science; Selection (genetic algorithm); Livestock; Biology; Brown Swiss; Milk production; Body weight; Biotechnology; Ecology","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":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.001031706,0.001940412,0.002191657,0.000126548,0.001408612,0.0005066007,0.003199235,0.00312907,0.01382126],"category_scores_gemma":[0.001441202,0.001061437,0.001170023,0.002855543,0.001622277,0.0006564495,0.001389145,0.003028486,0.007492356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002201582,"about_ca_system_score_gemma":0.0002656849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009711948,"about_ca_topic_score_gemma":0.0003317864,"domain_scores_codex":[0.9894155,0.0009676508,0.002037018,0.003208698,0.001268718,0.00310244],"domain_scores_gemma":[0.9949384,0.0009228271,0.0009925022,0.0008400234,0.0004176491,0.001888619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001715346,0.002406038,0.02463991,0.0007008885,0.001244613,0.001724699,0.002986837,0.0002158034,0.3097088,0.006391741,0.4178515,0.2304139],"study_design_scores_gemma":[0.003099589,0.007892531,0.02330508,0.0005069998,0.0005189783,0.0003038669,0.003872971,0.00231471,0.04152748,0.002178785,0.9101834,0.004295651],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8096486,0.004968893,0.00007476143,0.1590742,0.003159179,0.002435396,0.0009432872,0.001136587,0.01855909],"genre_scores_gemma":[0.9636189,0.0007171264,0.0004863114,0.01645018,0.006388592,0.0001723477,0.0004866946,0.00005010776,0.01162968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4923319,"threshold_uncertainty_score":0.9998914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06565076502095696,"score_gpt":0.2279761497612901,"score_spread":0.1623253847403331,"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."}}