{"id":"W2768057291","doi":"10.1071/ma17064","title":"Changing epidemiology of invasive meningococcal disease in Australia 1994–2016","year":2017,"lang":"en","type":"article","venue":"Microbiology Australia","topic":"Bacterial Infections and Vaccines","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carbon Engineering (Canada)","funders":"","keywords":"Epidemiology; Medicine; Case fatality rate; Outbreak; Incidence (geometry); Disease; Meningitis; Meningococcal disease; Vaccination; Public health; Pediatrics; Neisseria meningitidis; Intensive care medicine; Immunology; Internal medicine; Virology; Pathology; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001047432,0.0002367065,0.0002216458,0.001700982,0.0005269774,0.001033141,0.0004766653,0.0007315518,0.001599042],"category_scores_gemma":[0.004270777,0.0002966854,0.000347756,0.001638121,0.0004722909,0.001000247,0.001281018,0.0009063127,0.0002657614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003827131,"about_ca_system_score_gemma":0.004314399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2388249,"about_ca_topic_score_gemma":0.208663,"domain_scores_codex":[0.9989422,0.0002362524,0.0001592276,0.0001394534,0.0003123562,0.0002105357],"domain_scores_gemma":[0.9976088,0.00009210862,0.0008741599,0.00004639372,0.0008120125,0.0005664502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002209566,0.0001754327,0.887089,0.0007382343,0.0001462041,0.001632422,0.006648511,0.0006682688,0.003702602,0.001160566,0.007810493,0.09000722],"study_design_scores_gemma":[0.000002792917,0.00006928307,0.9895254,0.000185943,0.000009866018,0.0004809673,0.0008441476,0.0002118075,0.00009672069,0.00006015039,0.008504102,0.000008817633],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749066,0.007905984,0.0008476218,0.00673378,0.000281474,0.0001422193,0.001441006,0.00003804115,0.007703221],"genre_scores_gemma":[0.9872865,0.005748596,0.001214333,0.001402482,0.0001462151,0.00006935147,0.000843677,0.00001208682,0.003276791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2388249,"threshold_uncertainty_score":0.4748697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07418418250805486,"score_gpt":0.3396378520554734,"score_spread":0.2654536695474185,"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."}}