{"id":"W6945301746","doi":"10.24411/2078-1318-2018-12134","title":"Характеристика высокопродуктивных коров в \"СХПК им. Кирова\" Кировской области","year":2018,"lang":"ru","type":"article","venue":"CyberLeninK (CyberLeninka)","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dairy cattle; Agriculture; Herd; Animal breeding; Dairy farming","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","sts","insufficient_payload"],"category_scores_codex":[0.001586158,0.002176737,0.001945179,0.0005235348,0.001363052,0.0004980337,0.002894511,0.003622894,0.002656196],"category_scores_gemma":[0.001615189,0.002146694,0.001290353,0.001299556,0.004919205,0.00005840385,0.001824178,0.001723523,0.004728853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002645353,"about_ca_system_score_gemma":0.001126696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003130536,"about_ca_topic_score_gemma":0.0004713135,"domain_scores_codex":[0.9881909,0.0008154422,0.002184567,0.003684915,0.001538665,0.003585513],"domain_scores_gemma":[0.9923185,0.0003142428,0.001045327,0.003623699,0.001081156,0.001617137],"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":[0.001633551,0.001527133,0.008735425,0.0004099396,0.002132822,0.0004090192,0.002680313,0.00001107362,0.09681381,0.001923968,0.4752394,0.4084835],"study_design_scores_gemma":[0.004006179,0.004131819,0.007894835,0.0005075636,0.0005561622,0.0004399955,0.001060348,0.0002573433,0.07471831,0.0006982657,0.9027752,0.002953982],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8013167,0.04094389,0.005501999,0.009636991,0.01490742,0.002387672,0.000975987,0.001221225,0.1231081],"genre_scores_gemma":[0.9161898,0.002827441,0.01205675,0.002978451,0.01204388,0.0001869163,0.0007704644,0.0004778387,0.05246845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4275358,"threshold_uncertainty_score":0.9999371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01535910699423777,"score_gpt":0.2774526002192771,"score_spread":0.2620934932250393,"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."}}