{"id":"W4393930690","doi":"10.3390/ani14071040","title":"Epidemiology of Digital Dermatitis in Western Canadian Feedlot Cattle","year":2024,"lang":"en","type":"article","venue":"Animals","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Saskatchewan; University of Calgary","funders":"Agriculture and Agri-Food Canada; Beef Cattle Research Council","keywords":"Feedlot; Incidence (geometry); Medicine; Rate ratio; Epidemiology; Veterinary medicine; Demography; Animal science; Confidence interval; Biology; Internal medicine; Mathematics","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":[0.0006385146,0.0002949554,0.0002454649,0.003383034,0.001110203,0.001023784,0.0006950966,0.0002345892,0.0007355535],"category_scores_gemma":[0.001217785,0.0002059966,0.0002994364,0.004604589,0.0005063943,0.0002132372,0.0003898991,0.0002427188,0.00008833931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01321254,"about_ca_system_score_gemma":0.008173335,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9823964,"about_ca_topic_score_gemma":0.9897935,"domain_scores_codex":[0.9989317,0.00007148825,0.00006528139,0.0001727069,0.0005615778,0.0001972168],"domain_scores_gemma":[0.9987381,0.00008290866,0.0004247454,0.00003372813,0.000579979,0.0001404763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003859129,0.00001326748,0.9916203,0.000081051,0.00006124694,0.00009784592,0.0003282366,0.000139686,0.000769186,0.00004094511,0.0004185263,0.006390973],"study_design_scores_gemma":[8.902558e-7,0.00001207569,0.9990402,0.0000210859,0.00001184276,0.00006351532,0.0002524147,0.00008256875,0.00003641105,0.000004790281,0.0004710839,0.000003050521],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910856,0.002154,0.0002990893,0.000111123,0.000008281725,0.00007111666,0.004168646,0.00001692736,0.002085299],"genre_scores_gemma":[0.9947115,0.001936241,0.0005421633,0.00007110603,0.000004632925,0.00002110419,0.002104721,0.000003164525,0.0006053037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01760364,"threshold_uncertainty_score":0.09586406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1014035149233133,"score_gpt":0.3703843229817751,"score_spread":0.2689808080584618,"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."}}