{"id":"W1705810466","doi":"","title":"Optimum use of MACE information to predict composite type traits","year":2007,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mace; Breed; Udder; Biology; Statistics; Animal science; Mathematics; Medicine; Internal medicine","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":[0.006469221,0.001411624,0.001760946,0.006682408,0.0005558931,0.002816699,0.00131209,0.001017452,0.00476718],"category_scores_gemma":[0.01621045,0.0005475988,0.001818776,0.002585953,0.0003363765,0.001917353,0.001395569,0.001083585,0.003059551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007140515,"about_ca_system_score_gemma":0.00144805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01561933,"about_ca_topic_score_gemma":0.01324766,"domain_scores_codex":[0.9971563,0.0009075915,0.0001782747,0.0008576767,0.0005769385,0.0003231852],"domain_scores_gemma":[0.9893015,0.00513341,0.0006205398,0.001312777,0.003201,0.0004307909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001953712,0.0003149007,0.4049829,0.0002194149,0.001047369,0.0003617802,0.0003212616,0.05229013,0.006733207,0.002534402,0.01303676,0.5162042],"study_design_scores_gemma":[0.0001210649,0.0003688875,0.211569,0.0002544857,0.0005217135,0.0004486532,0.000277172,0.7572486,0.008162322,0.005135387,0.01572276,0.000169858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5453964,0.003157888,0.4014746,0.0008931618,0.0002432465,0.0003432537,0.02299604,0.007348624,0.01814683],"genre_scores_gemma":[0.8006943,0.0004311186,0.1702162,0.0002052978,0.0001171624,0.0001683003,0.02342002,0.0004320567,0.004315594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01561933,"threshold_uncertainty_score":0.03421289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04590506393026812,"score_gpt":0.2804146417222727,"score_spread":0.2345095777920045,"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."}}