{"id":"W4410027688","doi":"10.58395/dry4jy62","title":"BEYOND MOSQUITO BITES: ANALYZING MALARIA RISK FACTORS IN SOUTHERN NIGERIA","year":2025,"lang":"en","type":"article","venue":"PROBLEMS of Infectious and Parasitic Diseases","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Malaria; Geography; Insect bites and stings; Environmental health; Virology; Medicine; Immunology","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":[0.0005517561,0.0002417981,0.0002726028,0.0007870668,0.0003455487,0.0004607578,0.00009202285,0.0001485868,0.0007732807],"category_scores_gemma":[0.001537736,0.0001600192,0.0001952235,0.0009771278,0.0002527888,0.0002881792,0.0003215037,0.0002703438,0.00007420676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001692007,"about_ca_system_score_gemma":0.000500493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01080351,"about_ca_topic_score_gemma":0.02267432,"domain_scores_codex":[0.9997942,0.0001002703,0.00001926684,0.000024718,0.00002635484,0.00003522856],"domain_scores_gemma":[0.9995852,0.0001281022,0.000181434,0.00001923907,0.00003088015,0.00005514997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002606919,0.00001972721,0.9967226,0.00002679208,0.00001278021,0.00009554866,0.0004054756,0.00004403594,0.0002075684,0.00005272775,0.0000254008,0.002361149],"study_design_scores_gemma":[0.000001460729,0.00007374098,0.9966772,0.00003828887,0.00001773835,0.0002670051,0.00229562,0.0002087847,0.0000536318,0.00007001005,0.0002937464,0.000002833693],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990764,0.0003435728,0.00007010299,0.00003332397,0.000003289942,0.000006069833,0.00004683549,6.548746e-7,0.0004197242],"genre_scores_gemma":[0.9994751,0.0002691363,0.0001244606,0.000007207489,0.000002906518,0.000004052164,0.00003127061,2.997595e-7,0.00008564955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01080351,"threshold_uncertainty_score":0.02148128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04265885220086262,"score_gpt":0.3442401684446482,"score_spread":0.3015813162437856,"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."}}