{"id":"W1954110776","doi":"10.1186/s12879-015-1015-8","title":"The impact of aggregating serogroups in dynamic models of Neisseria meningitidis transmission","year":2015,"lang":"en","type":"article","venue":"BMC Infectious Diseases","topic":"Bacterial Infections and Vaccines","field":"Immunology and Microbiology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neisseria meningitidis; Carriage; Strain (injury); Neisseria; Medical microbiology; Transmission (telecommunications); Vaccination; Pathogen; Microbiology; Virology; Meningococcal vaccine; Meningococcal disease; Vaccine efficacy; Medicine; Biology; Bacteria; Genetics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002310691,0.001281114,0.001016198,0.0009340224,0.001061594,0.0014758,0.001715978,0.001842003,0.001826466],"category_scores_gemma":[0.009020147,0.0007640714,0.001297068,0.0006311703,0.001311677,0.001315294,0.001231331,0.001407035,0.0001883542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005363843,"about_ca_system_score_gemma":0.003811339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3405838,"about_ca_topic_score_gemma":0.154789,"domain_scores_codex":[0.999233,0.0003328769,0.00003403404,0.0001188756,0.00008403958,0.0001970811],"domain_scores_gemma":[0.9947677,0.003505519,0.0008036953,0.0001208686,0.0004511333,0.0003512004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002434407,0.00002398746,0.003637933,0.000008748719,0.00002101292,0.000030153,0.00003168475,0.9939315,0.00009053482,0.001524701,0.0001048335,0.0005704734],"study_design_scores_gemma":[0.00001674094,0.00002408029,0.0008762754,0.000004874122,0.0000156519,0.000006925317,0.0000244725,0.9977601,0.00004417229,0.001041609,0.0001773778,0.000007681669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9273264,0.0007511092,0.05709045,0.001633519,0.0001197511,0.0001838492,0.001228918,0.0001589281,0.01150708],"genre_scores_gemma":[0.9887779,0.0003394409,0.007166984,0.0001353599,0.00003147816,0.00009043091,0.0004609547,0.00002667006,0.002970693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3405838,"threshold_uncertainty_score":0.6772027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01950626903156645,"score_gpt":0.2854493212882711,"score_spread":0.2659430522567047,"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."}}