{"id":"W7101418755","doi":"10.5433/1679-0359.2025v46n5p1439","title":"Estimativa de parâmetros genéticos de características de eficiência alimentar e de carcaça de touros Nelore, com uso de matriz genômica","year":2025,"lang":"pt","type":"article","venue":"Semina Ciências Agrárias","topic":"Chemical and Environmental Engineering Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Beef cattle; Population; Food intake; Animal model; Feedlot; Body weight","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":[0.0007133751,0.0003425499,0.0003511963,0.0004407676,0.0003083748,0.0007980604,0.0002774095,0.0003718729,0.0009690754],"category_scores_gemma":[0.001108958,0.0002159968,0.0004141981,0.0007777605,0.0003976247,0.0003508387,0.0002953207,0.0002824401,0.0001725367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000933059,"about_ca_system_score_gemma":0.0006037111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02087141,"about_ca_topic_score_gemma":0.04682912,"domain_scores_codex":[0.9996132,0.00009082461,0.00001608398,0.0001618897,0.00007687959,0.00004115814],"domain_scores_gemma":[0.9992102,0.0002424463,0.0002653719,0.0000555949,0.0001587258,0.0000675777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009686329,0.0001722932,0.9144301,0.000161559,0.0002797091,0.0001223646,0.001439067,0.00086421,0.06570036,0.0000988742,0.0001157868,0.01564707],"study_design_scores_gemma":[0.00000550714,0.0005790815,0.9948848,0.00001288291,0.00009048106,0.00005706036,0.0006794452,0.0008135293,0.002263229,0.00004145698,0.0005634199,0.000009129239],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988704,0.0001124295,0.0005684917,0.00001687813,0.000001265841,0.00001057186,0.0002036809,0.000006420639,0.000209725],"genre_scores_gemma":[0.9946709,0.0001837877,0.003193549,0.0000290755,0.000001905617,0.00004021298,0.0005282881,0.000008205634,0.001344046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02087141,"threshold_uncertainty_score":0.04149985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063969581592934,"score_gpt":0.2742251594612344,"score_spread":0.2635854636453051,"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."}}