{"id":"W2772491910","doi":"10.1021/acs.accounts.7b00445","title":"Brucellosis: Improved Diagnostics and Vaccine Insights from Synthetic Glycans","year":2017,"lang":"en","type":"article","venue":"Accounts of Chemical Research","topic":"Brucella: diagnosis, epidemiology, treatment","field":"Veterinary","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Department for Environment, Food and Rural Affairs, UK Government; Bill and Melinda Gates Foundation","keywords":"Brucellosis; Glycan; Virology; Computational biology; Medicine; Chemistry; Biology; Biochemistry; Glycoprotein","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007579873,0.0003032622,0.0006778924,0.000135832,0.0003001232,0.0001269611,0.00120163,0.0004203495,0.0002452549],"category_scores_gemma":[0.01192582,0.0002553984,0.0001141938,0.00009847459,0.0007212855,0.0002497474,0.001219457,0.0006915883,0.0001705144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001802081,"about_ca_system_score_gemma":0.0001002316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005856676,"about_ca_topic_score_gemma":0.0001233915,"domain_scores_codex":[0.9970447,0.000241398,0.0005852326,0.0008173443,0.0005878072,0.0007234936],"domain_scores_gemma":[0.9906309,0.006550279,0.0002660753,0.00182784,0.0004038221,0.000321131],"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":[0.00160547,0.001290974,0.08229964,0.0002005259,0.0005009423,0.0002978304,0.0004835705,2.946738e-7,0.8814815,0.000786291,0.01839363,0.01265927],"study_design_scores_gemma":[0.005418868,0.001479854,0.2588292,0.0008867295,0.0002676541,0.0000364402,0.0003180908,0.001014574,0.6895138,0.02824646,0.01304804,0.0009403097],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911012,0.003256241,0.000003089184,0.003170223,0.0001729841,0.0005014583,0.0001310932,0.00003902966,0.001624681],"genre_scores_gemma":[0.9959525,0.002777827,0.0005474198,0.0001249441,0.0002719183,0.0001778814,0.00003450507,0.00005478572,0.00005821769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1919677,"threshold_uncertainty_score":0.9999898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1300517816345721,"score_gpt":0.4270463781108428,"score_spread":0.2969945964762707,"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."}}