{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003105148,0.0004129561,0.0003216242,0.0003098442,0.0001913251,0.0005166508,0.0003662642,0.0008108017,0.0003343136],"category_scores_gemma":[0.0004147142,0.0001461843,0.00034178,0.0002541704,0.0002979477,0.0002291354,0.0004627311,0.0007333181,0.0002204047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003646815,"about_ca_system_score_gemma":0.0002348519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009069234,"about_ca_topic_score_gemma":0.001044654,"domain_scores_codex":[0.9997122,0.00008731709,0.00001393466,0.00004201339,0.0000878344,0.00005674131],"domain_scores_gemma":[0.9998384,0.00003409651,0.00002070351,0.000014449,0.00004633155,0.0000459642],"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":[0.0001320447,0.00008772223,0.0005023824,0.00002763621,0.000007884827,0.0001571063,0.0000211285,0.0001327408,0.9962677,0.00007622282,0.00004292869,0.00254454],"study_design_scores_gemma":[0.00009291659,0.003085017,0.01081504,0.00004871502,0.0001346,0.002629375,0.0001236192,0.009044155,0.9679654,0.0002076626,0.005829038,0.00002452142],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891228,0.0008190951,0.008775677,0.0001780857,0.00007382697,0.00007053022,0.00009179945,0.00003131049,0.0008368473],"genre_scores_gemma":[0.9865867,0.0004731823,0.01131522,0.0001334322,0.00002204216,0.00002100652,0.0003803296,0.00001246099,0.001055778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009069234,"threshold_uncertainty_score":0.00264591,"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."}}