{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002418622,0.0002087264,0.0001731621,0.000621458,0.0006901842,0.0005119389,0.0004156865,0.0002670466,0.0009541305],"category_scores_gemma":[0.0006675645,0.0001541313,0.0001271507,0.0005778496,0.000263209,0.0001786375,0.000147802,0.0003182804,0.0001415197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005385306,"about_ca_system_score_gemma":0.001825231,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8178805,"about_ca_topic_score_gemma":0.8932514,"domain_scores_codex":[0.9997426,0.00002101101,0.000008469597,0.00005335652,0.00008684454,0.00008770783],"domain_scores_gemma":[0.9992775,0.00006776994,0.0001226018,0.00001962858,0.0003491325,0.0001633509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001529677,0.00004253957,0.9897317,0.00001325278,0.00002132051,0.0001656385,0.000292497,0.00008183063,0.005284958,0.0000136757,0.0001610851,0.004038476],"study_design_scores_gemma":[7.005083e-7,0.00003324444,0.9994583,0.000001902567,0.00000234032,0.00004652324,0.0001313021,0.00005414504,0.0001410021,0.000001192139,0.0001280874,0.000001262187],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988096,0.0001833035,0.00006032677,0.00001698618,0.000001721417,0.000005657194,0.0003833578,0.00000390207,0.0005352932],"genre_scores_gemma":[0.9979207,0.0001920219,0.0001266338,0.00002800562,0.000001737096,0.000003699943,0.0007171685,0.000002094505,0.001007968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1821195,"threshold_uncertainty_score":0.366384,"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."}}