{"id":"W4387141174","doi":"10.21203/rs.3.rs-2473833/v2","title":"Development and Evaluation of a Predictive Diagnostic System for Dengue Fever using Machine Learning Techniques","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Iron Ore Company (Canada)","funders":"","keywords":"Dengue fever; Machine learning; Medical diagnosis; Artificial intelligence; Naive Bayes classifier; Computer science; Decision tree; Random forest; Process (computing); Health care; Support vector machine; Medicine","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":[0.001369039,0.0005924804,0.0005717588,0.0007612641,0.0004251165,0.0007013982,0.001006209,0.0007764747,0.002519159],"category_scores_gemma":[0.002191466,0.0002602435,0.0003203581,0.0003654431,0.0002203098,0.0007052399,0.0003634115,0.0004652975,0.0007517815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005382705,"about_ca_system_score_gemma":0.0008760986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009286202,"about_ca_topic_score_gemma":0.004580391,"domain_scores_codex":[0.9995909,0.00007994111,0.00003727085,0.0001113224,0.0001375002,0.00004296817],"domain_scores_gemma":[0.9988148,0.0005029979,0.00004968129,0.0000879392,0.0004882989,0.0000563205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001723541,0.001369749,0.01677235,0.0004019768,0.0002763602,0.0004894971,0.000170083,0.09719575,0.1843944,0.001159007,0.005799342,0.690248],"study_design_scores_gemma":[0.0001433904,0.0007356911,0.006924937,0.00001542799,0.0001322731,0.0001752605,0.00005432725,0.9049333,0.08459399,0.00029272,0.001974778,0.00002385627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5125726,0.0007372478,0.4641362,0.0005972334,0.0003412604,0.001340008,0.0009185573,0.01499581,0.004361113],"genre_scores_gemma":[0.8080312,0.0002210164,0.1871006,0.0001287577,0.0000461657,0.0002829901,0.001010371,0.00009160506,0.003087434],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.009286202,"threshold_uncertainty_score":0.01846427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1651120029023917,"score_gpt":0.4598695946568848,"score_spread":0.2947575917544931,"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."}}