{"id":"W4405313695","doi":"10.25687/1996-6733.prodanimbiol.2021.3.32-41","title":"НОВЫЙ КОМПЛЕКСНЫЙ ИНДЕКС ПЛЕМЕННОЙ ЦЕННОСТИ КРУПНОГО РОГАТОГО СКОТА RZ€ И ЕГО ПРИМЕНЕНИЕ В ГЕРМАНИИ (обзор)","year":2021,"lang":"ru","type":"article","venue":"Problemy biologii produktivnyh životnyh","topic":"Food Industry and Aquatic Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Profitability index; Index (typography); Profit (economics); Agricultural economics; Agricultural science; Milk production; Mathematics; Statistics; Economics; Animal science; Environmental science; Biology; Computer science; Finance; Microeconomics","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":[0.002404049,0.0005639064,0.0003874242,0.002579839,0.002588617,0.009929679,0.0008544946,0.001689045,0.0333966],"category_scores_gemma":[0.005673027,0.0005988269,0.0006469986,0.002509337,0.004206243,0.004077979,0.002814956,0.002328304,0.01349644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004324916,"about_ca_system_score_gemma":0.007389417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01002453,"about_ca_topic_score_gemma":0.01131479,"domain_scores_codex":[0.9962549,0.0007817139,0.0002062526,0.0006727032,0.001707333,0.0003769739],"domain_scores_gemma":[0.996963,0.0006816913,0.0003395283,0.0004596046,0.001239512,0.0003167658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009502504,0.00006416203,0.00382936,0.0003771969,0.00003384573,0.0003603484,0.003838727,0.0009267891,0.003499131,0.8088758,0.02504608,0.1530535],"study_design_scores_gemma":[0.00001943787,0.00005539715,0.007639505,0.0002722731,0.00003361648,0.0004773641,0.002650041,0.0006776196,0.002682728,0.1167787,0.8686396,0.00007371639],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.03177867,0.009145635,0.04472304,0.009564428,0.001247227,0.0002371514,0.001135284,0.0004088771,0.9017596],"genre_scores_gemma":[0.5693998,0.01312909,0.08439766,0.001698066,0.001079652,0.0007401414,0.00145481,0.0006284917,0.3274723],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.0333966,"threshold_uncertainty_score":0.1117228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0451747237975371,"score_gpt":0.2353530233595963,"score_spread":0.1901782995620592,"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."}}