{"id":"W1568183257","doi":"","title":"Accuracy of MACE evaluation for composite type traits compared to prediction based on linear traits","year":2004,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Brown Swiss; Trait; Breed; Mace; Biology; Linear regression; Statistics; Animal science; Mathematics; Computer science; Internal medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001517609,0.000366161,0.0004072911,0.0001195476,0.0002114278,0.00006919496,0.000640692,0.0002170471,0.01430332],"category_scores_gemma":[0.0007592048,0.0002303678,0.000236883,0.00039693,0.00005234602,0.00005398552,0.00008216757,0.0002059645,0.00108313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002979293,"about_ca_system_score_gemma":0.00008841595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002452533,"about_ca_topic_score_gemma":0.0001228032,"domain_scores_codex":[0.9962783,0.0003504527,0.0008890289,0.0007534843,0.001368651,0.0003600221],"domain_scores_gemma":[0.995121,0.0007307711,0.0004991943,0.0001309715,0.003324181,0.0001939028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01264654,0.003127747,0.0002653479,0.0001673318,0.0002923174,0.000002909395,0.000636538,0.2658141,0.5660343,0.001801592,0.1043521,0.04485914],"study_design_scores_gemma":[0.009421173,0.003619993,0.07366846,0.0008077928,0.0002706825,0.00001707405,0.000537565,0.1235509,0.01037476,0.001305898,0.7755489,0.0008768464],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8250734,0.0001362211,0.001582538,0.1616209,0.0009269671,0.004602319,0.001397294,0.0002176099,0.004442669],"genre_scores_gemma":[0.9809419,0.00001385774,0.003593577,0.01149526,0.0006263065,0.0004667634,0.002707828,0.00001084998,0.0001436564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6711968,"threshold_uncertainty_score":0.9996946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06664068173324204,"score_gpt":0.3224070319878398,"score_spread":0.2557663502545977,"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."}}