{"id":"W4402856611","doi":"10.3390/antibiotics13090903","title":"Opportunities for Laboratory Testing to Inform Antimicrobial Use for Bovine Respiratory Disease: Application of Information Quality Value Stream Maps in Commercial Feedlots","year":2024,"lang":"en","type":"article","venue":"Antibiotics","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Alberta","funders":"Genome Prairie; University of Alberta; University of Saskatchewan; Genome Canada","keywords":"Bovine respiratory disease; Feedlot; Quality management; Business; Process management; Operations management; Environmental resource management; Engineering; Medicine; Environmental science; Management system; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01249789,0.0004953246,0.0002611893,0.005490371,0.001797458,0.006639244,0.001443218,0.0005182197,0.001882847],"category_scores_gemma":[0.02717284,0.0002893211,0.0005471467,0.007890764,0.00142505,0.002212162,0.002595927,0.000847083,0.0001175359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03113812,"about_ca_system_score_gemma":0.05023224,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6951029,"about_ca_topic_score_gemma":0.7826308,"domain_scores_codex":[0.9933825,0.002265825,0.0004387416,0.0004824222,0.002819688,0.0006109102],"domain_scores_gemma":[0.9740154,0.007922691,0.002573046,0.001446715,0.01282983,0.001212284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004469258,0.0002125708,0.3076929,0.001357606,0.0002020875,0.0003694669,0.009257767,0.03402752,0.00265862,0.02676541,0.01241563,0.6045935],"study_design_scores_gemma":[0.00011088,0.0006979512,0.5441172,0.003578859,0.0004331537,0.0002837161,0.02678666,0.1647173,0.01443359,0.02828762,0.2161572,0.0003959025],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.641886,0.003631992,0.1763344,0.01645999,0.0002627576,0.003487977,0.01454989,0.001980192,0.1414068],"genre_scores_gemma":[0.8534471,0.001240071,0.1402585,0.0002851083,0.00002652475,0.0002781829,0.002138266,0.00006215931,0.002264082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6951029,"threshold_uncertainty_score":0.6133853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.105203843773183,"score_gpt":0.3587948410133749,"score_spread":0.2535909972401919,"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."}}