{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004362628,0.0002195892,0.0006244363,0.0005584534,0.0002830742,0.00003810444,0.0001183264,0.00008460855,0.00001212352],"category_scores_gemma":[0.0005624362,0.0001984463,0.00006079199,0.000739829,0.00009976116,0.0001190189,0.00008678794,0.0002344572,0.00001414854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004570102,"about_ca_system_score_gemma":0.00007545025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000394156,"about_ca_topic_score_gemma":0.00005293376,"domain_scores_codex":[0.9973276,0.0007039499,0.0006307964,0.0005500598,0.000143309,0.0006443156],"domain_scores_gemma":[0.9979264,0.001096369,0.0001663381,0.000350282,0.00006634671,0.0003942733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002692365,0.006012416,0.7269786,0.005015696,0.000224321,0.001816802,0.005305032,0.0001250694,0.0005801786,0.001906713,0.01391854,0.2354243],"study_design_scores_gemma":[0.004101715,0.001918859,0.9511853,0.0001109304,0.000147944,0.0004352755,0.01218983,0.02304108,0.00004769026,0.001960641,0.004588247,0.0002725095],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890218,0.0003167106,0.001460841,0.005996814,0.00009799363,0.002416807,0.00003420465,0.0004821307,0.0001726825],"genre_scores_gemma":[0.9924245,0.00004366757,0.003451009,0.002823713,0.00004690291,0.0009693207,0.0001718698,0.00004214292,0.00002682851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2351518,"threshold_uncertainty_score":0.8092405,"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."}}