{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009578367,0.00007304554,0.0001339976,0.00007495307,0.0005538632,0.00004286848,0.0001804993,0.00006845364,0.00003518557],"category_scores_gemma":[0.0001443318,0.00007339648,0.00003884587,0.00009041815,0.0000860182,0.0001204724,0.0001467751,0.00008276965,0.000004471533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001246926,"about_ca_system_score_gemma":0.0002913408,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06266764,"about_ca_topic_score_gemma":0.2502559,"domain_scores_codex":[0.999278,0.0001027388,0.0002758501,0.0001489529,0.00003965815,0.0001548047],"domain_scores_gemma":[0.9984184,0.0005349134,0.00006392466,0.0007202548,0.0001870726,0.00007542851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006686508,0.001082572,0.9830741,0.00001776855,0.0001149863,0.000006695529,0.002544119,0.000006682666,0.005924943,0.001240317,0.0002684803,0.005050743],"study_design_scores_gemma":[0.0009857257,0.001465647,0.9873158,0.00001351682,0.00001791904,0.00005321143,0.0004566015,0.0002305384,0.00005509688,0.00005225974,0.009286344,0.00006730674],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985522,0.0003611821,0.0000794208,0.00017505,0.00007734267,0.0003778528,0.0001725984,0.0000142938,0.0001900853],"genre_scores_gemma":[0.9937854,0.0001721105,0.005599892,0.00005640378,0.00001630873,0.00006880367,0.0001281118,0.00001062252,0.0001623154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1875882,"threshold_uncertainty_score":0.9435741,"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."}}