{"id":"W2301563697","doi":"","title":"Оцінка потомства ліній та бугаїв-плідників голштинської породи канадської селекції за ознаками довічної продуктивності","year":2014,"lang":"uk","type":"article","venue":"","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; Productivity; Herd; Agricultural science; Selection (genetic algorithm); Animal science; Biology; Economics; Computer science; Economic growth; 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":[0.0007608468,0.0003095533,0.0002388068,0.001221051,0.001191031,0.001969982,0.0003270781,0.0005398891,0.01966417],"category_scores_gemma":[0.001260854,0.0003966005,0.0004132826,0.001312787,0.001402735,0.0006620333,0.00072032,0.00110293,0.006855329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001595673,"about_ca_system_score_gemma":0.002872949,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01432621,"about_ca_topic_score_gemma":0.02241187,"domain_scores_codex":[0.9991422,0.0001330896,0.0000464273,0.000128142,0.0004356343,0.0001144858],"domain_scores_gemma":[0.9994026,0.0001129184,0.0000827875,0.00008176277,0.0002532083,0.00006664932],"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":[0.0003164307,0.0001308803,0.01178399,0.0006442801,0.00007221662,0.001666644,0.004935398,0.003431551,0.08736446,0.3103529,0.01090748,0.5683939],"study_design_scores_gemma":[0.0000703883,0.0002960362,0.04317609,0.0003050492,0.0001162679,0.002583954,0.003756972,0.002434897,0.04112134,0.09029271,0.8156704,0.0001759683],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.216992,0.01841906,0.1709554,0.004788375,0.001157553,0.0003203431,0.001606978,0.0009955604,0.5847647],"genre_scores_gemma":[0.778445,0.009695228,0.1018451,0.0002946181,0.0001978627,0.000290136,0.000617395,0.0003501497,0.1082646],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9856738,"threshold_uncertainty_score":0.0657832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01993620685461552,"score_gpt":0.1942917756569905,"score_spread":0.174355568802375,"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."}}