{"id":"W2050876180","doi":"10.1071/rdv26n1ab98","title":"98 COMMERCIAL APPLICATION OF A NEW COW-SIDE LH ASSAY FOR DETERMINING OPTIMUM AI INTERVALS IN SUPEROVULATED BEEF DONORS IN THE USA: A PRELIMINARY STUDY","year":2013,"lang":"en","type":"article","venue":"Reproduction Fertility and Development","topic":"Reproductive Physiology in Livestock","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Estrous cycle; Artificial insemination; Animal science; Insemination; Animal health; Medicine; Dose; Gynecology; Blood collection; Andrology; Internal medicine; Endocrinology; Biology; Pregnancy; Sperm","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":[0.001357739,0.0002570949,0.0002263198,0.0003388349,0.0002113295,0.0003585325,0.000330641,0.0002596168,0.001100577],"category_scores_gemma":[0.0005923985,0.0001629423,0.0001442933,0.0002802318,0.0001868716,0.0001415994,0.0002007288,0.000346481,0.0002776882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002478137,"about_ca_system_score_gemma":0.0003049858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002876777,"about_ca_topic_score_gemma":0.005676245,"domain_scores_codex":[0.9990896,0.0003258837,0.00004458444,0.0001377102,0.0003399307,0.00006240502],"domain_scores_gemma":[0.9994916,0.0001501439,0.00009231432,0.00003829679,0.0001553421,0.00007224817],"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":[0.001657529,0.0004596717,0.05208657,0.00009376089,0.00002476733,0.00007918292,0.0002352058,0.0001506183,0.9160764,0.00005332023,0.0001655149,0.02891739],"study_design_scores_gemma":[0.00019584,0.02323557,0.2712686,0.00003429448,0.0001763973,0.001312627,0.0004604503,0.006174094,0.6905712,0.0000388407,0.006502196,0.0000298516],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907644,0.0005931993,0.007034849,0.00005419721,0.00001718803,0.0001840388,0.0002870368,0.00004232044,0.001022696],"genre_scores_gemma":[0.9722095,0.0004978649,0.02412965,0.00007675926,0.00002592984,0.00008530795,0.001182491,0.00001520311,0.00177736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002876777,"threshold_uncertainty_score":0.007180452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05387995838994348,"score_gpt":0.2903425223136857,"score_spread":0.2364625639237422,"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."}}