{"id":"W2987517766","doi":"10.2196/16424","title":"An Integrated mHealth App for Dengue Reporting and Mapping, Health Communication, and Behavior Modification: Development and Assessment of Mozzify","year":2019,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Dengue fever; Usability; Timeline; Public health; Health informatics; Medicine; Internet privacy; Psychology; Medical education; Computer science; Nursing; Psychological intervention","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":[0.003546692,0.001001456,0.0005508006,0.001029188,0.0004255435,0.0008311594,0.0008577743,0.0008612982,0.00253587],"category_scores_gemma":[0.006742275,0.0003902373,0.001026471,0.0002772934,0.0004023013,0.0008543135,0.001206724,0.0005633899,0.0004084257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003379287,"about_ca_system_score_gemma":0.0008403159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007491405,"about_ca_topic_score_gemma":0.001395374,"domain_scores_codex":[0.9987271,0.0004613026,0.0001701061,0.0001362097,0.0003967923,0.0001084013],"domain_scores_gemma":[0.9969184,0.00159038,0.0002537072,0.0001584363,0.0008495795,0.0002294466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.007524529,0.01384358,0.07353885,0.007328795,0.0007078726,0.0009679648,0.008844127,0.002070158,0.05172495,0.0006711562,0.008374086,0.8244039],"study_design_scores_gemma":[0.004404795,0.09548089,0.7265557,0.003342828,0.003380577,0.0051424,0.005753885,0.01485802,0.06761487,0.001444273,0.07133028,0.0006914614],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9478625,0.0008246578,0.02110634,0.0003759399,0.000114959,0.02315347,0.001407117,0.001563687,0.003591288],"genre_scores_gemma":[0.7116299,0.001868987,0.235755,0.0006524545,0.0001060626,0.04058998,0.002688408,0.000263911,0.006445326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003546692,"threshold_uncertainty_score":0.01875687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2798830213790502,"score_gpt":0.6056556974922293,"score_spread":0.3257726761131791,"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."}}