{"id":"W7132374109","doi":"","title":"Use of Holsteins in the process of Lithuania's black-and-white cattle’s selection","year":2002,"lang":"ru","type":"other","venue":"Lithuanian University of Health Sciences","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Milking; Lactation; Selection (genetic algorithm); Milk fat; Brown Swiss; Dairy cattle","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":[0.001680007,0.000381235,0.0003476257,0.0009422766,0.0007404449,0.0005332876,0.0005763282,0.0002725735,0.00197562],"category_scores_gemma":[0.0005062469,0.0001679143,0.0002708381,0.0005147512,0.0003701042,0.0001693187,0.0006930497,0.0004734389,0.0005146124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004888808,"about_ca_system_score_gemma":0.0007806385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003647487,"about_ca_topic_score_gemma":0.01200951,"domain_scores_codex":[0.9991732,0.0002302616,0.00006488005,0.0002253626,0.0001678214,0.0001383555],"domain_scores_gemma":[0.9996462,0.00005517222,0.00006684382,0.00007042912,0.00006116427,0.000100162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00341192,0.00154882,0.09561694,0.0003272862,0.000147283,0.001771834,0.00245309,0.0004500537,0.646907,0.002597266,0.001335704,0.2434328],"study_design_scores_gemma":[0.0006431189,0.009056129,0.514935,0.000334763,0.0007770534,0.004093018,0.00178853,0.002309649,0.3552896,0.001045812,0.109579,0.0001483046],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9834164,0.001203178,0.008190163,0.0001631688,0.0000822936,0.0002845181,0.0002760759,0.0001727217,0.006211498],"genre_scores_gemma":[0.9424824,0.001678943,0.0372954,0.0003259168,0.00006016914,0.0003190962,0.001278919,0.0001331974,0.01642589],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.003647487,"threshold_uncertainty_score":0.008884788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0413912475630858,"score_gpt":0.2702689387524725,"score_spread":0.2288776911893867,"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."}}