{"id":"W4320712618","doi":"10.3389/fneur.2023.1088182","title":"Socioepidemiological macro-determinants associated with the cumulative incidence of bacterial meningitis: A focus on the African Meningitis Belt","year":2023,"lang":"en","type":"article","venue":"Frontiers in Neurology","topic":"Bacterial Infections and Vaccines","field":"Immunology and Microbiology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut Universitaire de Gériatrie de Montréal","funders":"American Academy of Neurology","keywords":"Incidence (geometry); Epidemiology; Demography; Medicine; Socioeconomic status; Cumulative incidence; Meningitis; Population; Disease burden; Public health; Environmental health; Geography; Pediatrics; Internal medicine; Cohort; Pathology","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":[0.0009277093,0.0003795873,0.0003260834,0.001903413,0.0004729849,0.0009373686,0.000264153,0.0003388725,0.002542015],"category_scores_gemma":[0.002548327,0.0001488544,0.0007548368,0.001860204,0.0003995662,0.0006935443,0.001108347,0.0004902476,0.0002062704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003265839,"about_ca_system_score_gemma":0.0005086876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008779556,"about_ca_topic_score_gemma":0.007342041,"domain_scores_codex":[0.9994612,0.0002303636,0.00003561187,0.00006519465,0.00004803673,0.0001595542],"domain_scores_gemma":[0.9986495,0.0003319356,0.0005797258,0.00004457037,0.0001280255,0.0002661922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004500757,0.0000180505,0.9971058,0.00001948654,0.00005111587,0.00007817413,0.0002384059,0.00004634562,0.00007611638,0.00005502897,0.00006054803,0.002206008],"study_design_scores_gemma":[0.000001752823,0.00003944407,0.998364,0.00002216259,0.00003443504,0.00009951261,0.0008825406,0.0003062099,0.00002454736,0.00005342858,0.0001694018,0.000002712804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984446,0.0007741033,0.0001199238,0.0001648747,0.000005773427,0.000007719763,0.0001688445,0.000001781725,0.0003123418],"genre_scores_gemma":[0.9994267,0.0003283281,0.00007276026,0.00001416059,0.00001079779,0.000006356945,0.00008941688,0.000001267035,0.00005018454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008779556,"threshold_uncertainty_score":0.01745689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02172390106136371,"score_gpt":0.2549559096532276,"score_spread":0.2332320085918639,"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."}}