{"id":"W3211737488","doi":"10.2196/28951","title":"Validation of a Mobile Health Technology Platform (FeverTracker) for Malaria Surveillance in India: Development and Usability Study","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Malaria Research and Control","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Indian Council of Medical Research; Department of Biotechnology, Ministry of Science and Technology, India","keywords":"Malaria; Disease surveillance; Usability; Digitization; Plasmodium vivax; Health facility; Health care; Medicine; Environmental health; Digital health; Computer science; Disease; Medical emergency; Plasmodium falciparum; Population; Immunology; Pathology; Telecommunications; Political science; Health services","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":[0.01663716,0.0006463625,0.0004744155,0.001088802,0.0007388878,0.001977916,0.000869345,0.0007601521,0.001496343],"category_scores_gemma":[0.02431736,0.0003266406,0.0009793213,0.0005277804,0.0008318924,0.001252568,0.001420623,0.000752256,0.0004637513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009978371,"about_ca_system_score_gemma":0.001496229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002640512,"about_ca_topic_score_gemma":0.003455564,"domain_scores_codex":[0.9937564,0.003599085,0.0006059132,0.0004257498,0.001130318,0.0004825114],"domain_scores_gemma":[0.9751448,0.01671113,0.0009733519,0.001207222,0.005200504,0.0007629708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00288689,0.01069451,0.2829991,0.008052936,0.0005104737,0.003621682,0.1802636,0.002557215,0.04113987,0.002269293,0.01009109,0.4549133],"study_design_scores_gemma":[0.0009373431,0.04682282,0.6974674,0.003866867,0.001543681,0.004728319,0.127713,0.01711524,0.03095109,0.001209871,0.06699419,0.0006501429],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991197,0.0001953522,0.003591454,0.0002655551,0.00004003682,0.001790482,0.0002025591,0.0001558524,0.002561736],"genre_scores_gemma":[0.9715209,0.0004831883,0.02306328,0.0003575094,0.00003245706,0.002199591,0.0004221575,0.00006513629,0.001855768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01663716,"threshold_uncertainty_score":0.08798677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05223921592876591,"score_gpt":0.4203209844241524,"score_spread":0.3680817684953865,"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."}}