{"id":"W4324270515","doi":"10.21423/bovine-vol55no2p140-152","title":"Assessment of the evolution of the proportion of respiratory and enteric pathogens and diseases in pre-weaned unvaccinated dairy heifers from Québec, Canada","year":2021,"lang":"en","type":"article","venue":"The Bovine Practitioner","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation; Service de Recherche et d'EXpertise en Transformation des Produits Forestiers; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Zoetis","keywords":"Diarrhea; Respiratory system; Medicine; Bovine respiratory disease; Feces; Veterinary medicine; Lung; Internal medicine; Biology; Immunology; Microbiology","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":[0.0001848398,0.00005528928,0.0001044142,0.000004195145,0.00009660564,0.000005714157,0.00009511758,0.00002555021,0.00009890424],"category_scores_gemma":[0.000222428,0.00001744241,0.00002830652,0.0001764398,0.00009044536,0.00007334295,0.0001148921,0.00007387526,3.430824e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006148932,"about_ca_system_score_gemma":0.0002458329,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3390397,"about_ca_topic_score_gemma":0.8158127,"domain_scores_codex":[0.9990561,0.0003540531,0.000219821,0.0001121352,0.0001971188,0.00006078355],"domain_scores_gemma":[0.999374,0.0001847512,0.0002416573,0.00009718809,0.00008430495,0.00001809139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001179607,0.000266715,0.6450282,0.00006499617,0.0000403335,0.000002531494,0.000219859,0.00006810013,0.347743,0.001568231,0.001013823,0.003866268],"study_design_scores_gemma":[0.0001194964,0.00004508497,0.994709,0.00005032024,0.00002850258,0.000001777641,0.0005789237,0.00005614587,0.002819818,0.0004052224,0.001149067,0.0000366525],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953654,0.0005984624,0.000006655066,0.003461326,0.00006317034,0.0001694177,0.0002367472,0.000002823394,0.00009597511],"genre_scores_gemma":[0.9996544,0.00006345023,0.000008508789,0.0001546549,0.00002125535,0.000007881745,0.00001824764,5.375285e-7,0.00007109241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.476773,"threshold_uncertainty_score":0.6653616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01266964752441853,"score_gpt":0.2303847346746219,"score_spread":0.2177150871502034,"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."}}