{"id":"W4396567680","doi":"10.1371/journal.pone.0300216","title":"Machine learning in epidemiology: Neural networks forecasting of monkeypox cases","year":2024,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Poxvirus research and outbreaks","field":"Immunology and Microbiology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Monkeypox; Artificial neural network; Epidemiology; Public health; Mean squared error; Machine learning; Outbreak; Statistics; Artificial intelligence; Computer science; Mean absolute percentage error; Medicine; Mathematics; Biology; Virology; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012973,0.0004857845,0.000395809,0.000902196,0.0001878386,0.0006960459,0.0005038675,0.0006564069,0.0005682993],"category_scores_gemma":[0.005816037,0.0001657477,0.0003401372,0.0006927529,0.0001760347,0.0007814096,0.0002999179,0.0005398049,0.0001186502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001033456,"about_ca_system_score_gemma":0.0007120031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02949902,"about_ca_topic_score_gemma":0.02161883,"domain_scores_codex":[0.9996967,0.0001534805,0.00001655969,0.00005492731,0.00004773059,0.00003050659],"domain_scores_gemma":[0.9990383,0.0005462374,0.0001679818,0.00004832088,0.0001647318,0.00003454326],"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":[0.00008521929,0.00005792765,0.03211655,0.00002784405,0.00004512753,0.00005809739,0.00002974881,0.9380734,0.0003637194,0.001205301,0.0006100813,0.02732691],"study_design_scores_gemma":[0.000002307268,0.00001158887,0.002568616,0.000007414529,0.00000386115,0.000007398284,0.00001492979,0.9963977,0.0001389112,0.00074401,0.0001001234,0.000003086017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8690997,0.001409937,0.1205268,0.002166897,0.0001608136,0.00005619801,0.0006577024,0.0003303996,0.005591593],"genre_scores_gemma":[0.9854032,0.0003134481,0.01304739,0.00004141133,0.00003862815,0.00001772671,0.0002854372,0.0000091336,0.0008435703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02949902,"threshold_uncertainty_score":0.05865467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1212749194886437,"score_gpt":0.2978069260898942,"score_spread":0.1765320066012505,"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."}}