{"id":"W4404303182","doi":"10.1016/j.theriogenology.2024.11.008","title":"Evaluation of GnRH- versus estradiol-based protocols for ovulation synchronization in postpartum Bos taurus grazing beef cows submitted to fixed-time artificial insemination","year":2024,"lang":"en","type":"review","venue":"Theriogenology","topic":"Reproductive Physiology in Livestock","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Leduc Community Hospital","funders":"Fondo para la Investigación Científica y Tecnológica; Ministerio de Ciencia, Tecnología e Innovación Productiva; Ministerio de Ciencia, Tecnología e Innovación","keywords":"Artificial insemination; Ovulation; Synchronization (alternating current); Insemination; Estrogen; Grazing; Animal science; Biology; Andrology; Gynecology; Medicine; Pregnancy; Computer science; Endocrinology; Sperm; Agronomy; Genetics; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001505461,0.0003469234,0.0009396874,0.0001598388,0.00008692819,0.00002805361,0.0003076517,0.0004899055,0.00009140722],"category_scores_gemma":[0.0006721387,0.0001767984,0.0002276903,0.0008508834,0.0001080202,0.0000843545,0.00005357837,0.0001868347,0.00009236144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004287481,"about_ca_system_score_gemma":0.0002122429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004957117,"about_ca_topic_score_gemma":0.0001072465,"domain_scores_codex":[0.9968734,0.0009163741,0.0007874513,0.0007630716,0.0003321905,0.0003275122],"domain_scores_gemma":[0.9983374,0.000454946,0.0005196659,0.0001817863,0.0004614035,0.00004481561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003242897,0.0001581534,0.00003579832,0.001108161,0.0001485969,9.961901e-7,0.0001222522,0.0005583364,0.02928651,0.0003602178,0.0000577774,0.9678389],"study_design_scores_gemma":[0.01017087,0.08961994,0.07760404,0.05684349,0.02814299,0.0001064812,0.000583666,0.06979211,0.01498017,0.05156887,0.5882649,0.0123224],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5100567,0.3833147,0.0001266169,0.0007274827,0.001259167,0.1035047,0.0006189178,0.0002505635,0.0001412042],"genre_scores_gemma":[0.5011495,0.1729522,0.003021568,0.0001563056,0.006659395,0.2955236,0.02018089,0.0001658989,0.0001906297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9555165,"threshold_uncertainty_score":0.7209629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1417501498101817,"score_gpt":0.3799539294220097,"score_spread":0.238203779611828,"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."}}