{"id":"W4388495527","doi":"10.18280/ria.370521","title":"Exploring Machine Learning Algorithms for the Prediction of Dengue: A Comprehensive Review","year":2023,"lang":"en","type":"review","venue":"Revue d intelligence artificielle","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dengue fever; Computer science; Machine learning; Artificial intelligence; Algorithm; Virology; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00049439,0.0003805012,0.001841381,0.0001464391,0.0001877805,0.00002106167,0.0003196078,0.0001181743,0.0001251545],"category_scores_gemma":[0.0007186555,0.0002555049,0.001252632,0.0007199481,0.00008380949,0.00006269551,0.0001020186,0.0005243511,0.0001711107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006982771,"about_ca_system_score_gemma":0.0001580737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003854545,"about_ca_topic_score_gemma":0.000001845713,"domain_scores_codex":[0.9974391,0.0001260601,0.001271817,0.0005277107,0.0002766721,0.0003585654],"domain_scores_gemma":[0.9969822,0.001294944,0.0005743642,0.0006886302,0.0003344291,0.0001253904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001480651,0.00005544867,0.000001468452,0.1239324,0.0003310462,0.00001089376,0.00006947152,0.0001901143,0.000003143286,0.000105231,0.00045563,0.8748304],"study_design_scores_gemma":[0.0000634759,0.0001916707,0.000001646908,0.09111334,0.003788931,0.00004959906,0.0002316708,0.04100265,0.00002389944,0.00001240084,0.8633592,0.00016155],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000001786797,0.986114,0.008967601,0.0002089734,0.0005270048,0.003816469,0.0002080383,0.0001099914,0.00004610072],"genre_scores_gemma":[0.00002038917,0.9953318,0.0001304586,0.00007837889,0.0004973393,0.001991692,0.0003428326,0.00009763121,0.001509444],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8746688,"threshold_uncertainty_score":0.9999897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.356006867831387,"score_gpt":0.3897991722069812,"score_spread":0.03379230437559416,"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."}}