{"id":"W4415390501","doi":"10.3168/jds.2025-27171","title":"Modeling heat stress effects on first service to conception rates in Canadian Holstein dairy cattle","year":2025,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Effects of Environmental Stressors on Livestock","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Alberta; Genome British Columbia; Agriculture Funding Consortium; Alberta Milk; Alberta Innovates; Génome Québec; Ontario Genomics Institute; Genome Canada","keywords":"Heat index; Heat stress; Dairy cattle; Culling; Repeatability; Fertility; Heat load; Production (economics)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.000994151,0.0005444291,0.000496799,0.001035865,0.0008713009,0.000917116,0.001832,0.0006374907,0.001625088],"category_scores_gemma":[0.001844642,0.0003752037,0.0008325672,0.001172186,0.0005279084,0.0002251238,0.0003925016,0.0005416336,0.0001854963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01356173,"about_ca_system_score_gemma":0.009673473,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9771152,"about_ca_topic_score_gemma":0.9722738,"domain_scores_codex":[0.9996662,0.00004098921,0.0000105928,0.000106017,0.00005116806,0.0001250112],"domain_scores_gemma":[0.9994162,0.0001998181,0.00006495242,0.00002882411,0.0002160059,0.00007417877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004739891,0.000123622,0.4320575,0.0001199944,0.0003754125,0.0001471824,0.0003171066,0.5435876,0.002636219,0.001376675,0.003228793,0.01555584],"study_design_scores_gemma":[0.00006263187,0.00006232281,0.2904899,0.00003113011,0.0001365236,0.00003537111,0.0003234806,0.7055767,0.0003634549,0.0003750762,0.00249092,0.00005248603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911089,0.0003666741,0.002366283,0.0001716922,0.00001434454,0.0000381454,0.004665521,0.00007884832,0.001189588],"genre_scores_gemma":[0.9898463,0.0002810262,0.002702848,0.0000524567,0.000008118661,0.00004092159,0.005584428,0.00002049195,0.001463249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02288485,"threshold_uncertainty_score":0.09839773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01192700468258014,"score_gpt":0.243881392798185,"score_spread":0.2319543881156048,"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."}}