{"id":"W3215169232","doi":"10.3168/jdsc.2021-0161","title":"Cross-sectional study of antimicrobial use and treatment decision for preweaning Canadian dairy calves","year":2021,"lang":"en","type":"article","venue":"JDS Communications","topic":"Animal health and immunology","field":"Veterinary","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island; Université de Montréal; University of Calgary; University of Guelph","funders":"Public Health Agency; Dairy Farmers of Ontario; Public Health Agency of Canada; Dairy Farmers of Canada","keywords":"Antimicrobial; Diarrhea; Herd; Medicine; Disease; Bloody diarrhea; Veterinary medicine; Odds ratio; Internal medicine; Biology","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":[0.001158338,0.0002985542,0.0003043602,0.0009235188,0.00136387,0.0007977514,0.000970785,0.0004446954,0.001448695],"category_scores_gemma":[0.003118192,0.0003705559,0.0003595299,0.001985307,0.0005150508,0.0002954936,0.0004227901,0.0005359353,0.0001550109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01457951,"about_ca_system_score_gemma":0.0116329,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9528312,"about_ca_topic_score_gemma":0.9746108,"domain_scores_codex":[0.9985507,0.0001672516,0.0001016582,0.0002763768,0.0005487353,0.0003552713],"domain_scores_gemma":[0.9967986,0.0003844674,0.0009909157,0.00009581418,0.001061608,0.0006686096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003245571,0.0000264072,0.9984242,0.00001784233,0.00002018014,0.00003203305,0.0003127336,0.00002002304,0.000116692,0.00001031852,0.0001131944,0.000873855],"study_design_scores_gemma":[0.000001898779,0.00004606646,0.9989531,0.00000898461,0.000007358174,0.00002634443,0.0006735981,0.0000593669,0.00002126528,0.000002536591,0.0001961425,0.000003374342],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983113,0.0002078479,0.00005043167,0.00005945608,0.000003903975,0.00003268312,0.0007858505,0.000002927656,0.0005456738],"genre_scores_gemma":[0.9986219,0.0002277621,0.0001732164,0.00006721984,0.000002456364,0.0000176112,0.0005558039,0.000001571177,0.0003323461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04716879,"threshold_uncertainty_score":0.1057823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2363406214040946,"score_gpt":0.4365735621483077,"score_spread":0.2002329407442131,"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."}}