{"id":"W4416139153","doi":"10.3390/vetsci12111079","title":"Novel Recombinase Polymerase Amplification Assay Is Sensitive for Detection of Macrolide Resistance Genes Relevant to Bovine Respiratory Disease Management in Feedlot Calves","year":2025,"lang":"en","type":"article","venue":"Veterinary Sciences","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Alberta; University of Saskatchewan","funders":"Genome Prairie; Beef Cattle Research Council; University of Saskatchewan; Beef Farmers of Ontario; Genome Alberta; Ministry of Agriculture - Saskatchewan","keywords":"Bovine respiratory disease; Recombinase Polymerase Amplification; Sanger sequencing; Polymerase chain reaction; Multiplex polymerase chain reaction; Multiplex; Bacteria; Antimicrobial; TaqMan","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001649731,0.0006575565,0.0006494141,0.0008780563,0.0001671511,0.0007935248,0.000579559,0.0008188562,0.0004974891],"category_scores_gemma":[0.002002119,0.0004886828,0.0004733325,0.0004214598,0.0003968093,0.0003899024,0.0002961733,0.0005984058,0.0003109699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005146227,"about_ca_system_score_gemma":0.000283271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001701065,"about_ca_topic_score_gemma":0.003570741,"domain_scores_codex":[0.9968346,0.0007368862,0.0001433262,0.001190799,0.0009226631,0.0001718113],"domain_scores_gemma":[0.9983047,0.0006336914,0.0006485572,0.0000917353,0.0002296767,0.00009152617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001781094,0.0001005351,0.02224107,0.0001177038,0.00003509061,0.00004707732,0.00007052357,0.0006708853,0.96287,0.00006149129,0.00004524373,0.01356221],"study_design_scores_gemma":[0.00007115837,0.003173346,0.2147507,0.00007968963,0.0003141559,0.002889902,0.0001713773,0.08437999,0.6907307,0.0002337532,0.003078557,0.0001268009],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.867626,0.002325935,0.127551,0.0000766627,0.0000337062,0.000143866,0.0007425215,0.0004674341,0.001032826],"genre_scores_gemma":[0.937722,0.00059694,0.05996788,0.00004934515,0.00001898861,0.00009202848,0.0007061959,0.00002240121,0.0008242478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001701065,"threshold_uncertainty_score":0.008724749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0424623664061674,"score_gpt":0.3362162846241555,"score_spread":0.2937539182179881,"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."}}