{"id":"W4416097981","doi":"10.5713/ab.250595","title":"Early prediction of final body weight in Hanwoo steers using machine and deep learning models","year":2025,"lang":"en","type":"article","venue":"Animal Bioscience","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cargill (Canada)","funders":"","keywords":"Hanwoo; Deep learning; Production (economics); Pattern recognition (psychology); Production model","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005424757,0.0006080759,0.0003362592,0.0002305113,0.0001329571,0.0003566888,0.0002268322,0.0003514783,0.0003521991],"category_scores_gemma":[0.0006290345,0.0001996838,0.0003096313,0.0001427096,0.00008121114,0.0002861461,0.0001906055,0.0003157658,0.0001343634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000328578,"about_ca_system_score_gemma":0.0003794126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0205487,"about_ca_topic_score_gemma":0.02881169,"domain_scores_codex":[0.9999108,0.00001943468,0.000004494741,0.00002601874,0.00001613209,0.00002304477],"domain_scores_gemma":[0.9997936,0.00007059519,0.00003650738,0.000007142431,0.00006759613,0.00002460116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002359959,0.0005223094,0.3135348,0.0001750117,0.0004439543,0.0003604783,0.000261769,0.4971601,0.05108003,0.0002438996,0.0009709995,0.1328867],"study_design_scores_gemma":[0.00001714799,0.0003192816,0.06330782,0.00001791104,0.00005490964,0.00004182336,0.00008764098,0.9320568,0.003752445,0.0001209666,0.000204939,0.00001830368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820606,0.0001274646,0.0172776,0.00003245578,0.000009504155,0.000009896801,0.0001179445,0.00007348063,0.0002911986],"genre_scores_gemma":[0.9935747,0.00005798647,0.005665265,0.00001422095,0.000003814732,0.00001215903,0.0002896138,0.000005099552,0.0003772034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0205487,"threshold_uncertainty_score":0.04085821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01839982003333996,"score_gpt":0.2418749208843371,"score_spread":0.2234751008509971,"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."}}