{"id":"W2027249558","doi":"10.1016/j.vetmic.2014.04.014","title":"A bacterial engineered glycoprotein as a novel antigen for diagnosis of bovine brucellosis","year":2014,"lang":"en","type":"article","venue":"Veterinary Microbiology","topic":"Brucella: diagnosis, epidemiology, treatment","field":"Veterinary","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Glycomics Centre; University of Alberta","funders":"Canadian Institutes of Health Research; Alberta Heritage Foundation for Medical Research; Consejo Nacional de Investigaciones Científicas y Técnicas; Agencia Nacional de Promoción Científica y Tecnológica; Fondo Argentino Sectorial; Fondation pour la Recherche Médicale","keywords":"Brucellosis; Antigen; Biology; Serology; Immunoassay; Virology; Brucellaceae; Vaccination; Antibody; Bovine serum albumin; Immunology; Recombinant DNA; Microbiology; Brucella; Brucella melitensis","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007680138,0.0006376547,0.001329574,0.0002912597,0.0001333329,0.00001763436,0.0006207551,0.0006373652,0.0008629322],"category_scores_gemma":[0.0007539036,0.0006094464,0.0004968615,0.0002047298,0.0003374823,0.0001009709,0.0003716865,0.0002094068,0.000259834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000143981,"about_ca_system_score_gemma":0.0000699182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000604985,"about_ca_topic_score_gemma":0.00002312433,"domain_scores_codex":[0.9963674,0.0004814779,0.001104269,0.001033687,0.00006687893,0.0009462843],"domain_scores_gemma":[0.9965011,0.001728104,0.0004993608,0.0009432704,0.0001508057,0.000177357],"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":[0.003581085,0.0008669812,0.002028748,0.0002245853,0.0003940155,0.00003460654,0.000162072,0.000009300978,0.9860427,0.0003884885,0.004248161,0.002019226],"study_design_scores_gemma":[0.00938094,0.05299035,0.00623884,0.0003144486,0.0002984212,0.002773118,0.00006950375,0.0002249451,0.4845732,0.0004469878,0.4411959,0.001493409],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929765,0.000452277,0.001292424,0.0008434434,0.001245759,0.001629659,0.001135975,0.0001866858,0.0002372969],"genre_scores_gemma":[0.9787342,0.0002124341,0.01770274,0.0004547794,0.0004568703,0.00151637,0.0006812253,0.0001203172,0.0001210832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5014696,"threshold_uncertainty_score":0.9996357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06150133396603653,"score_gpt":0.3180855804100577,"score_spread":0.2565842464440212,"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."}}