{"id":"W1493966302","doi":"10.1186/s12866-015-0469-6","title":"Characterization of invasive Neisseria meningitidis strains from Québec, Canada, during a period of increased serogroup B disease, 2009-2013: phenotyping and genotyping with special emphasis on the non-carbohydrate protein vaccine targets","year":2015,"lang":"en","type":"article","venue":"BMC Microbiology","topic":"Bacterial Infections and Vaccines","field":"Immunology and Microbiology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut National de Santé Publique du Québec; Public Health Agency of Canada","funders":"European Commission; University of Oxford; Wellcome Trust","keywords":"Biology; Neisseria meningitidis; Multilocus sequence typing; Neisseria; Bacterial adhesin; Virology; Genotyping; Typing; Antigen; Microbiology; Gene; Genetics; Genotype; Virulence; Bacteria","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001377059,0.0002511558,0.0004427209,0.00009530669,0.0001801712,0.00001419903,0.0001562203,0.0001445523,0.0002632694],"category_scores_gemma":[0.0001172861,0.0001799089,0.00004750821,0.0001440483,0.0001162734,0.00008052758,0.00008604789,0.0001436482,0.00000541232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008077967,"about_ca_system_score_gemma":0.0008307419,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.250381,"about_ca_topic_score_gemma":0.607407,"domain_scores_codex":[0.9987177,0.0002531345,0.000397825,0.0003302959,0.00001706572,0.0002839679],"domain_scores_gemma":[0.9990079,0.00007695554,0.0003841395,0.0002642849,0.0002120588,0.00005463721],"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":[0.001469193,0.00007649743,0.01725691,0.00004161965,0.0002085803,0.000001551343,0.0005444293,0.000006837402,0.9801539,0.00004841415,0.000136799,0.00005522534],"study_design_scores_gemma":[0.00270611,0.0002889585,0.3432156,0.0001906693,0.0001146154,0.00002494956,0.0004477439,0.000006575565,0.6511624,0.00001569422,0.001531765,0.0002948733],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974355,0.0003608092,0.00005224383,0.0004205764,0.0002801759,0.0006023722,0.0008150545,0.00001693356,0.00001632655],"genre_scores_gemma":[0.9988176,0.00001472901,0.00005821982,0.00004136159,0.0001782651,0.00004677005,0.0007508472,0.00002335709,0.00006882202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.357026,"threshold_uncertainty_score":0.7546108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027357589234581,"score_gpt":0.1872714165581141,"score_spread":0.1769978406657683,"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."}}