{"id":"W4382175410","doi":"10.2196/46295","title":"An mHealth App (eSkinHealth) for Detecting and Managing Skin Diseases in Resource-Limited Settings: Mixed Methods Pilot Study","year":2023,"lang":"en","type":"article","venue":"JMIR Dermatology","topic":"Dermatological diseases and infestations","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fogarty International Center; National Institutes of Health; Japan Agency for Medical Research and Development","keywords":"Teledermatology; Medicine; Usability; Health care; mHealth; Intervention (counseling); Family medicine; Telemedicine; Nursing; Psychological intervention; Computer science","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":[0.01965653,0.001225291,0.001376917,0.0009495921,0.002281605,0.001571405,0.001321081,0.001398598,0.004185514],"category_scores_gemma":[0.01763439,0.001082815,0.001523917,0.0006964848,0.001149191,0.001940843,0.001598528,0.001328849,0.0005642865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00133324,"about_ca_system_score_gemma":0.003943475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003346119,"about_ca_topic_score_gemma":0.006491003,"domain_scores_codex":[0.990602,0.006151333,0.0008536008,0.0006746533,0.0009557351,0.0007627236],"domain_scores_gemma":[0.98593,0.008853669,0.001178489,0.0008147756,0.00214306,0.001079983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.03197382,0.4141709,0.09242354,0.01590556,0.001617662,0.002014101,0.1026058,0.0009694446,0.01045281,0.0009855271,0.00479318,0.3220876],"study_design_scores_gemma":[0.04814545,0.6611947,0.1888681,0.002781766,0.001997457,0.0008232507,0.0735618,0.002913214,0.004697568,0.001037787,0.01360911,0.0003696725],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9754407,0.0003233959,0.001285262,0.0002247418,0.0000565269,0.02128718,0.0002896293,0.00003129915,0.001061147],"genre_scores_gemma":[0.898928,0.00144542,0.01801697,0.001589717,0.0001270121,0.0776296,0.0003318677,0.00002699418,0.00190456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01965653,"threshold_uncertainty_score":0.1039549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05062844750707175,"score_gpt":0.424191562284344,"score_spread":0.3735631147772723,"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."}}