{"id":"W328477016","doi":"","title":"Балльная оценка функционального состояния здоровья животных разных генотипов","year":2010,"lang":"ru","type":"article","venue":"Известия Оренбургского государственного аграрного университета","topic":"Agriculture and Biological Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Selection (genetic algorithm); Computer science; Artificial intelligence","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":[0.000710841,0.000274219,0.0003112431,0.001238358,0.001179885,0.001547468,0.0003219981,0.0004525244,0.008214777],"category_scores_gemma":[0.0008859686,0.0002669699,0.0003450918,0.001344467,0.001220525,0.000329299,0.0004639938,0.0009439043,0.003028455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001327395,"about_ca_system_score_gemma":0.002776901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01890922,"about_ca_topic_score_gemma":0.02670188,"domain_scores_codex":[0.9994152,0.00007388738,0.00002597887,0.00008917782,0.0002933069,0.0001025148],"domain_scores_gemma":[0.9996438,0.00006805149,0.00005925522,0.0000342534,0.000148795,0.0000457926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003429072,0.0001195988,0.005673277,0.0006048927,0.00006471357,0.001180399,0.002209703,0.001800304,0.1175386,0.1315056,0.006126733,0.7328333],"study_design_scores_gemma":[0.00008963234,0.0003688085,0.03966605,0.0001969449,0.0001409964,0.002466329,0.001196334,0.00148042,0.06205138,0.04271962,0.8494408,0.0001827558],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3334926,0.05808247,0.1226253,0.004755711,0.002322921,0.0004146511,0.00196917,0.0008897399,0.4754474],"genre_scores_gemma":[0.8079223,0.01708474,0.09100025,0.0002870156,0.0003236005,0.0002274994,0.0005783052,0.0002139337,0.08236234],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01890922,"threshold_uncertainty_score":0.03759831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01449790566769213,"score_gpt":0.2016280981440933,"score_spread":0.1871301924764011,"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."}}