{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004488043,0.0001020211,0.000452103,0.0005122371,0.0001407218,0.00002253339,0.0001071186,0.0001035247,0.0000482851],"category_scores_gemma":[0.0006977034,0.00008633306,0.00003134613,0.001002899,0.0001546498,0.0001587615,0.0001799462,0.0005084944,0.000005229223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003237219,"about_ca_system_score_gemma":0.001445264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004109694,"about_ca_topic_score_gemma":0.0001457633,"domain_scores_codex":[0.9977191,0.0002776133,0.0005366791,0.000284482,0.0006350116,0.0005471162],"domain_scores_gemma":[0.9982672,0.0004328466,0.00008572409,0.0002841931,0.0007863531,0.0001437084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003393715,0.007459491,0.7156788,0.003509352,0.0003190978,0.00007525479,0.03380539,0.000004690625,0.00334349,0.008718283,0.0004542982,0.2232382],"study_design_scores_gemma":[0.005796638,0.004159661,0.9545051,0.0001139578,0.000001988717,0.00001798355,0.01926345,0.0003128791,0.0141478,0.0007979227,0.0007870537,0.00009556297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931434,0.0002805132,0.0001834448,0.001409376,0.00001789756,0.004713744,0.00002390494,0.00001507047,0.0002126423],"genre_scores_gemma":[0.9961724,0.00003897477,0.0006180111,0.0000161887,0.00001235556,0.003004887,0.00005132889,0.000009105996,0.00007670275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2388263,"threshold_uncertainty_score":0.352056,"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."}}