{"id":"W3126292185","doi":"10.2196/19034","title":"Early Detection of Dengue Fever Outbreaks Using a Surveillance App (Mozzify): Cross-sectional Mixed Methods Usability Study","year":2021,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dengue fever; Usability; Environmental health; Outbreak; Public health surveillance; Virology; Cross-sectional study; Public health; Medicine; Computer science; Human–computer interaction","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01437856,0.0005874301,0.001139539,0.001203825,0.001544234,0.001706206,0.0007271532,0.001026694,0.002014678],"category_scores_gemma":[0.01666209,0.0007728077,0.001294615,0.0006877941,0.0007107963,0.001656053,0.001253633,0.001099949,0.0004853952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008616516,"about_ca_system_score_gemma":0.00154541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002300923,"about_ca_topic_score_gemma":0.004604978,"domain_scores_codex":[0.9954278,0.002247665,0.0005761777,0.0005343054,0.0007754088,0.0004385934],"domain_scores_gemma":[0.9872602,0.006910269,0.001561569,0.0006623023,0.00302514,0.0005805488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002713108,0.0199182,0.6586858,0.006481819,0.001075306,0.003274,0.2163626,0.0003362247,0.006481247,0.0006244032,0.003232695,0.08081457],"study_design_scores_gemma":[0.0005844386,0.05132365,0.7108393,0.00257038,0.001071969,0.003859882,0.2082696,0.001832864,0.003807244,0.0005862964,0.01499171,0.0002625753],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964605,0.0003479322,0.0007487235,0.00007367673,0.00001362924,0.001570724,0.0001663369,0.00001194356,0.00060651],"genre_scores_gemma":[0.9877423,0.0009483196,0.004110009,0.000544155,0.0000358482,0.005221521,0.0002570704,0.00001910076,0.001121786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01437856,"threshold_uncertainty_score":0.076042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09612690654738175,"score_gpt":0.4815096624336151,"score_spread":0.3853827558862333,"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."}}