{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007184495,0.0003184253,0.0007703704,0.0003394836,0.0003470295,0.000009852706,0.0005819746,0.0006128122,0.002130874],"category_scores_gemma":[0.0005786949,0.0002793469,0.0002024304,0.00009951516,0.0008342147,0.0001684719,0.0002893769,0.0004359797,0.0006287959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005085009,"about_ca_system_score_gemma":0.00006570752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002502408,"about_ca_topic_score_gemma":0.0005157443,"domain_scores_codex":[0.9974114,0.0004554221,0.000728696,0.0005308252,0.000006172993,0.0008674497],"domain_scores_gemma":[0.9982714,0.0002780503,0.0005710659,0.0007635501,0.00005542709,0.00006049645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001781735,0.00009772444,0.3980166,0.00003032168,0.00009938017,0.000006950965,0.0001101483,0.00001016723,0.5982509,0.00102589,0.002093066,0.00008069842],"study_design_scores_gemma":[0.002941828,0.0002848754,0.8012232,0.0002715355,0.0001132172,0.0001287838,0.00008270391,0.000001106071,0.1773908,0.001141899,0.01584965,0.0005704304],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964095,0.0002679039,0.00002182466,0.0003769432,0.002268804,0.0003156484,0.0002469786,0.00003438885,0.00005805962],"genre_scores_gemma":[0.9905937,0.00004099221,0.00009229953,0.00004484982,0.0001090045,0.00004846512,0.000297937,0.00001670151,0.008756048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4208601,"threshold_uncertainty_score":0.9999658,"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."}}