{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01006854,0.0009121926,0.0008118628,0.002480105,0.0003109568,0.001913442,0.0007411332,0.0006153273,0.00470968],"category_scores_gemma":[0.02518757,0.0002228951,0.000799512,0.0008665931,0.0004416493,0.001358024,0.0008846329,0.0005621483,0.003325087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005165285,"about_ca_system_score_gemma":0.0003542198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009181978,"about_ca_topic_score_gemma":0.01103425,"domain_scores_codex":[0.9957415,0.001472616,0.0002446536,0.001237561,0.001071248,0.0002324322],"domain_scores_gemma":[0.9727671,0.01762963,0.001701855,0.002257255,0.005010236,0.0006339206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002478122,0.0001515475,0.8272881,0.0001745283,0.0008779002,0.0001514178,0.0003245797,0.01490306,0.007074847,0.0006074582,0.005957328,0.1400111],"study_design_scores_gemma":[0.00006454285,0.0006987127,0.8359575,0.0001022835,0.0002967264,0.0004174302,0.0003690018,0.1438022,0.008680404,0.001078509,0.008420154,0.000112453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.919031,0.002334462,0.04607701,0.0003254499,0.0002353596,0.00008489802,0.006331328,0.004089596,0.02149095],"genre_scores_gemma":[0.9807402,0.0002033529,0.009710832,0.00006915863,0.00003061386,0.00002215203,0.00410244,0.0002312817,0.004889879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01006854,"threshold_uncertainty_score":0.05324817,"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."}}