{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003117716,0.000738259,0.0005819269,0.002356643,0.004669212,0.01245791,0.001241981,0.002314051,0.04068956],"category_scores_gemma":[0.007266292,0.0006647459,0.0007539723,0.002484222,0.006827546,0.005815641,0.004417881,0.00325978,0.01146748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006339276,"about_ca_system_score_gemma":0.01173561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01182721,"about_ca_topic_score_gemma":0.01370525,"domain_scores_codex":[0.9943414,0.001441133,0.0002775557,0.0008888744,0.002459959,0.0005910652],"domain_scores_gemma":[0.9957254,0.001174598,0.0004557778,0.0005807595,0.00151001,0.0005534788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0000928813,0.00009751214,0.004307512,0.0005062232,0.00004269174,0.0004898367,0.007701835,0.0008234665,0.003140457,0.8359642,0.02268048,0.1241529],"study_design_scores_gemma":[0.00002902418,0.00007082765,0.00769208,0.0005571622,0.00006022955,0.000792385,0.007785319,0.0008337937,0.003803673,0.2042051,0.7740653,0.0001050205],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03332631,0.01154349,0.05082456,0.01505017,0.001095774,0.0002394017,0.0008246792,0.0003575852,0.8867381],"genre_scores_gemma":[0.648342,0.01790493,0.07037226,0.003157287,0.0008554689,0.0007555948,0.001273024,0.0005520263,0.2567874],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04068956,"threshold_uncertainty_score":0.1361201,"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."}}