{"id":"W4313907465","doi":"10.1177/03009858221146092","title":"Bronchopneumonia with interstitial pneumonia in beef feedlot cattle: Characterization and laboratory investigation","year":2023,"lang":"en","type":"article","venue":"Veterinary Pathology","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Alberta Health Services; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Agri-Food Innovation Alliance; Ministry of Agriculture, Food and Rural Affairs; Beef Farmers of Ontario; Ontario Ministry of Agriculture, Food and Rural Affairs; Beef Cattle Research Council","keywords":"Pathology; Lung; Pneumonia; Medicine; Diffuse alveolar damage; Histopathology; Interstitial lung disease; Immunology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002135207,0.0001384792,0.000183452,0.000420716,0.0001300337,0.00002120744,0.00007743651,0.0001754732,0.0001054566],"category_scores_gemma":[0.00003160534,0.000129962,0.0000179361,0.0005155609,0.0003465939,0.0001508114,0.0001162473,0.0002260846,0.0003173472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003535771,"about_ca_system_score_gemma":0.00007429579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005765011,"about_ca_topic_score_gemma":0.0000371541,"domain_scores_codex":[0.9988337,0.0003076298,0.0001872888,0.000329462,0.00002430761,0.0003175948],"domain_scores_gemma":[0.9996421,0.00005254095,0.00005351993,0.0001651158,0.0000492083,0.00003748786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001700004,0.00003991054,0.02766168,0.00003455813,0.00001433919,0.0001569004,0.0003554127,0.000005846248,0.9697902,0.00009718334,0.00009079454,0.001583231],"study_design_scores_gemma":[0.001181102,0.001293687,0.9782366,0.0000589304,0.00001347223,0.0008703035,0.0001340506,0.00001851324,0.01331804,0.00003029639,0.004620228,0.0002247317],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987131,0.0001138064,0.00006141501,0.0003267586,0.0002803223,0.0002109081,0.0001181108,0.0001213101,0.00005427348],"genre_scores_gemma":[0.9986878,0.0001570816,0.00001634053,0.0001053581,0.00002689277,0.00007148637,0.0005866288,0.000019224,0.0003292022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9564721,"threshold_uncertainty_score":0.5299695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02040490748746595,"score_gpt":0.2611704624979313,"score_spread":0.2407655550104653,"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."}}