{"id":"W2253134395","doi":"10.2196/mhealth.4423","title":"Guidelines and Recommendations for Developing Interactive eHealth Apps for Complex Messaging in Health Promotion","year":2016,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health and Medical Research Council; Medical Research Council","keywords":"eHealth; mHealth; Internet privacy; Computer science; Android (operating system); Mobile phone; World Wide Web; Health care; Harm; Phone; Medicine; Psychological intervention; Psychology; Nursing","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.005400858,0.0004196902,0.0009747625,0.0005700549,0.002787326,0.0000210262,0.0001892505,0.0002951596,0.00003904945],"category_scores_gemma":[0.0007989567,0.0003362768,0.00006593779,0.0004586353,0.0001172822,0.0003392531,0.0001062538,0.0005265895,0.0000119401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001335489,"about_ca_system_score_gemma":0.004346536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009665068,"about_ca_topic_score_gemma":0.002603793,"domain_scores_codex":[0.9927172,0.0007857656,0.00304531,0.00107995,0.000224832,0.002146964],"domain_scores_gemma":[0.9932986,0.002852757,0.001521954,0.0004221771,0.0006435459,0.001260982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000912342,0.0002902789,0.0182293,0.02356389,0.00001914242,3.183149e-7,0.003348757,9.31283e-7,0.00005267209,0.1602688,0.08590242,0.7074112],"study_design_scores_gemma":[0.009605339,0.001225111,0.06911128,0.00424932,0.00002578876,0.00001288612,0.003252719,0.001583306,0.000005220558,0.02449412,0.8858836,0.0005512754],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04617842,0.002278893,0.1291203,0.7885377,0.001073605,0.03112048,0.000986012,0.0003591745,0.0003453325],"genre_scores_gemma":[0.589416,0.04690408,0.1880546,0.07428163,0.001540256,0.09682625,0.001011285,0.0002795458,0.001686333],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.7999812,"threshold_uncertainty_score":0.9999089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3165615537011131,"score_gpt":0.5633721663825877,"score_spread":0.2468106126814746,"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."}}