{"id":"W308463283","doi":"","title":"Сравнительная характеристика воспроизводительной способности мясного скота герефордской породы канадской и сибирской селекций","year":2014,"lang":"ru","type":"article","venue":"Vestnik Altajskogo gosudarstvennogo agrarnogo universiteta","topic":"Animal Nutrition and Health","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Insemination; Herd; Fertility; Pregnancy; Animal science; Pregnancy rate; Corpus luteum; Artificial insemination; Biology; Gynecology; Reproduction; Medicine; Population; 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":[0.001991219,0.002438722,0.002692276,0.0006938434,0.003756103,0.0009998134,0.003665205,0.001915397,0.009921485],"category_scores_gemma":[0.0004921858,0.001639167,0.001757357,0.004300574,0.001607724,0.002035212,0.001369967,0.002774969,0.006722571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008879994,"about_ca_system_score_gemma":0.0005169165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002760884,"about_ca_topic_score_gemma":0.003758237,"domain_scores_codex":[0.9856157,0.001872895,0.002359973,0.003714486,0.002315831,0.004121067],"domain_scores_gemma":[0.9913465,0.001524737,0.001704869,0.001399634,0.0009919439,0.003032328],"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":[0.004599036,0.009323269,0.06374101,0.002252858,0.001889808,0.00164059,0.004691985,0.0002242734,0.05000044,0.2148886,0.4410732,0.2056749],"study_design_scores_gemma":[0.004565677,0.004729417,0.1001421,0.0009518147,0.0006697242,0.000251347,0.004838719,0.001151095,0.0005775069,0.005589728,0.8729346,0.003598288],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8385617,0.007635249,0.0004581773,0.03895282,0.004870314,0.003406287,0.001954338,0.002004665,0.1021564],"genre_scores_gemma":[0.952919,0.005806479,0.001088592,0.007206882,0.004439127,0.00003116141,0.001271838,0.00009581407,0.02714109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4318614,"threshold_uncertainty_score":0.9995257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01390605135356845,"score_gpt":0.1996614114720807,"score_spread":0.1857553601185123,"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."}}