{"id":"W2173702989","doi":"10.1016/j.biologicals.2015.09.001","title":"Reverse vaccinology as an approach for developing Histophilus somni vaccine candidates","year":2015,"lang":"en","type":"article","venue":"Biologicals","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Health; University of Saskatchewan","funders":"Alberta Livestock and Meat Agency","keywords":"Reverse vaccinology; Biology; Genome; Antigen; Antigenicity; Microbiology; Bacteria; Whole genome sequencing; Pathogen; Vaccination; Gene; Virology; Computational biology; Genetics","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":[0.0006597486,0.0006720162,0.0004303244,0.0003970299,0.0002275169,0.0006866042,0.0005798413,0.0006405312,0.00194136],"category_scores_gemma":[0.0004096647,0.0002604408,0.0004599695,0.0001564584,0.0004967577,0.0005705737,0.0003626335,0.001981014,0.0006647301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004125644,"about_ca_system_score_gemma":0.0004409687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003274101,"about_ca_topic_score_gemma":0.0004544643,"domain_scores_codex":[0.9998224,0.00005353021,0.00001056081,0.00002561324,0.00004519791,0.00004262122],"domain_scores_gemma":[0.9998295,0.00004435853,0.00003836964,0.00002733793,0.00003909418,0.0000212402],"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":[0.000338129,0.0002906174,0.0004972924,0.0003099882,0.00002490306,0.0001583206,0.00004689191,0.001106234,0.9589252,0.006618413,0.0006107189,0.03107328],"study_design_scores_gemma":[0.0001860437,0.004930494,0.0009063962,0.00006520739,0.0001073195,0.0009432386,0.0001053504,0.003697157,0.9574226,0.003052938,0.02855902,0.00002432754],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7324901,0.03484625,0.1988274,0.003887113,0.002156549,0.001467698,0.0008285476,0.0006810753,0.02481534],"genre_scores_gemma":[0.9114733,0.01581488,0.06073397,0.0007370723,0.0002458763,0.0003835513,0.0006235713,0.00007085655,0.009916984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00194136,"threshold_uncertainty_score":0.006494462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08899190730983174,"score_gpt":0.3403462491360139,"score_spread":0.2513543418261822,"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."}}