{"id":"W4409711886","doi":"10.1016/j.theriogenology.2025.117457","title":"Reproductive outcomes of prepubertal Bos indicus beef heifers raised in a feedlot system submitted or not to ovulation induction strategies prior to a timed-artificial insemination treatment regimen","year":2025,"lang":"en","type":"article","venue":"Theriogenology","topic":"Reproductive Physiology in Livestock","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Insemination Center of Quebec","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Feedlot; Artificial insemination; Beef cattle; Ovulation induction; Animal science; Regimen; Biology; Ovulation; Andrology; Medicine; Internal medicine; Pregnancy; Endocrinology; Hormone","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":[0.0001423712,0.0001821798,0.000216756,0.0003061511,0.0003738599,0.0003051508,0.0001306061,0.0002173377,0.001661703],"category_scores_gemma":[0.0002646009,0.0001139375,0.0001350593,0.000147667,0.0003753212,0.0001914076,0.0001768502,0.0003436049,0.0001507231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004042727,"about_ca_system_score_gemma":0.0003070116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0054872,"about_ca_topic_score_gemma":0.009803626,"domain_scores_codex":[0.9999146,0.00001289083,0.000004902558,0.00002568867,0.00001078582,0.00003117717],"domain_scores_gemma":[0.9997355,0.00003732504,0.00005043138,0.00001402327,0.00003708338,0.0001256215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.05141441,0.007347816,0.167594,0.0001407693,0.0001240697,0.001126048,0.001632648,0.000587904,0.7509179,0.0001919493,0.0004091179,0.01851331],"study_design_scores_gemma":[0.0001568566,0.0256381,0.9488156,0.000009164143,0.00008827653,0.0002293552,0.0008886929,0.0005120916,0.02317574,0.00004571553,0.0004213757,0.00001903587],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998354,0.00001457702,0.0000126617,0.000003429787,0.000002337993,0.000004461514,0.00004177049,7.820593e-7,0.00008450943],"genre_scores_gemma":[0.9987854,0.00002593924,0.00005240415,0.00001488751,0.000004434612,0.00001392328,0.0001506195,0.000001297124,0.0009510555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0054872,"threshold_uncertainty_score":0.01091051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.034624303373163,"score_gpt":0.2933841616960878,"score_spread":0.2587598583229248,"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."}}