{"id":"W4321509859","doi":"10.21423/aabppro20163493","title":"Estrus detection intensity and accuracy and optimal timing of insemination with automated activity monitors for dairy cows","year":2016,"lang":"en","type":"article","venue":"American Association of Bovine Practitioners Conference Proceedings","topic":"Reproductive Physiology in Livestock","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Insemination; Artificial insemination; Herd; Estrous cycle; Dairy industry; Dairy cattle; Computer science; Animal science; Biology; Pregnancy","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":[0.003185762,0.0001939201,0.0003086604,0.000524911,0.0001494003,0.0004910547,0.0004169261,0.0004094771,0.0004249439],"category_scores_gemma":[0.01190767,0.0002082716,0.0002514592,0.0003784645,0.0001769087,0.000408725,0.000276205,0.0002638537,0.000105463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004993763,"about_ca_system_score_gemma":0.0003483166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00352209,"about_ca_topic_score_gemma":0.004822263,"domain_scores_codex":[0.9978771,0.001241321,0.0001095926,0.0002192253,0.0004594473,0.00009336482],"domain_scores_gemma":[0.9944947,0.003444433,0.00123029,0.0001767276,0.0005424505,0.0001112735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005609572,0.0005704157,0.840159,0.0002077599,0.0002116416,0.00003300499,0.0003785432,0.004591009,0.01901437,0.00009136413,0.0003518167,0.1287814],"study_design_scores_gemma":[0.00007587729,0.002896592,0.9669868,0.00004190394,0.0001814643,0.0001319874,0.0001418893,0.02149427,0.007418119,0.000109157,0.0005028752,0.00001902363],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942524,0.001500787,0.003294578,0.00007338739,0.000007167147,0.00004311059,0.00009936436,0.00002143734,0.0007077911],"genre_scores_gemma":[0.9951307,0.0003523027,0.004134259,0.00003952915,0.00001223713,0.00002684581,0.0001064185,0.00000388274,0.0001939304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00352209,"threshold_uncertainty_score":0.01684815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01651477190673476,"score_gpt":0.2554401424165192,"score_spread":0.2389253705097844,"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."}}