{"id":"W4417267897","doi":"10.3390/microorganisms13122829","title":"Gut Microbiome and Metabolome Signatures Associated with Heat Tolerance in Dairy Cows","year":2025,"lang":"en","type":"article","venue":"Microorganisms","topic":"Effects of Environmental Stressors on Livestock","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"National Key Research and Development Program of China; Government of Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Metabolome; Microbiome; Metabolomics; Gut flora; Metabolic pathway; Dairy cattle; Metagenomics","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":[0.0001115462,0.0001773341,0.0002354935,0.00002198431,0.0001186557,0.00005248901,0.0001904479,0.0001291162,0.0001076556],"category_scores_gemma":[0.00002207486,0.00007313868,0.00002842611,0.0003712551,0.0001390585,0.00009613726,0.0001011863,0.0001626765,0.0000108884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000520623,"about_ca_system_score_gemma":0.000004433808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001703003,"about_ca_topic_score_gemma":0.0009107771,"domain_scores_codex":[0.9990669,0.00007790887,0.0001509125,0.0003470429,0.00008526198,0.0002719933],"domain_scores_gemma":[0.9996949,0.0001540894,0.00003644142,0.00005465939,0.00001088624,0.0000489669],"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":[0.00002603509,0.00009920299,0.0179445,0.000004805853,0.00001696074,0.000008131817,0.00003520995,0.00001333217,0.98016,0.00003647768,0.0003163271,0.001338996],"study_design_scores_gemma":[0.0004286724,0.0001650453,0.8453797,0.00008745486,0.00001441097,0.000002846817,0.00007084313,0.000004818206,0.1513099,0.0001187001,0.002230511,0.000187057],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963757,0.001952646,0.000001569773,0.000934879,0.00004908902,0.0002782067,0.00005215827,0.00004572744,0.0003100291],"genre_scores_gemma":[0.9982417,0.00004002887,0.0001400663,0.000754186,0.00001855964,0.0000124906,0.00005308849,0.000001704839,0.0007381554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8288501,"threshold_uncertainty_score":0.2982509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004029993258774161,"score_gpt":0.1836855653287466,"score_spread":0.1796555720699725,"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."}}