{"id":"W4318197045","doi":"10.1139/cjas-2022-0033","title":"Reassessing cow comfort measures on Canadian dairy farms after a recommendation of improvements","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Animal Science","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; University of Guelph; Ste. Anne's Hospital; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Canadian Dairy Commission; Dairy Farmers of Canada; Université de Sherbrooke; Agriculture and Agri-Food Canada; McGill University","keywords":"Welfare; Business; Animal welfare; Cow milk; Agricultural science; Operations management; Environmental health; Medicine; Environmental science; Engineering; Economics; Biology; Food science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.004247327,0.0004029188,0.0003124263,0.001342186,0.001733395,0.0008431677,0.00105089,0.0003945549,0.001290704],"category_scores_gemma":[0.008398384,0.0002046312,0.0004219235,0.001201545,0.0004353049,0.0003734273,0.0006793367,0.000512204,0.0002014987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01117974,"about_ca_system_score_gemma":0.007165885,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6771769,"about_ca_topic_score_gemma":0.9043115,"domain_scores_codex":[0.9968345,0.0006356249,0.0002129541,0.0002595391,0.001600054,0.0004573739],"domain_scores_gemma":[0.990094,0.001055746,0.002037545,0.0003455635,0.005643895,0.0008232991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000342356,0.0004738751,0.8946653,0.0003048331,0.00009927076,0.0004077494,0.01105969,0.000568149,0.008191763,0.00006502827,0.002364381,0.08145769],"study_design_scores_gemma":[0.000003516478,0.0003223672,0.9954058,0.00002354723,0.000008288589,0.00001615542,0.002212219,0.0001638635,0.0005971411,0.000008024143,0.001227268,0.00001175182],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943317,0.0001894884,0.0003917869,0.0003109321,0.00001519757,0.000330554,0.0007369764,0.00003769992,0.003655595],"genre_scores_gemma":[0.9917961,0.0003393218,0.003448006,0.0002198403,0.00001271966,0.0002014722,0.000825543,0.000008064078,0.003148687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3228231,"threshold_uncertainty_score":0.6494485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09511419787582914,"score_gpt":0.3510644883029768,"score_spread":0.2559502904271477,"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."}}