{"id":"W4294542680","doi":"10.2196/39718","title":"Development of a Mobile App for Self-Care Against COVID-19 Using the Analysis, Design, Development, Implementation, and Evaluation (ADDIE) Model: Methodological Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Tarbiat Modares University; Autoritatea Natională pentru Cercetare Stiintifică; National Authority for Scientific Research and Innovation","keywords":"ADDIE Model; Usability; Computer science; Health care; System usability scale; Psychology; Heuristic evaluation; Curriculum; Human–computer interaction","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":[0.09191667,0.001348988,0.001146861,0.003697856,0.001520574,0.003072526,0.001778532,0.001681559,0.002600327],"category_scores_gemma":[0.09641764,0.001016345,0.003696861,0.001596047,0.001445061,0.003267646,0.003644302,0.001542209,0.0005261159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005010881,"about_ca_system_score_gemma":0.0141634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002127077,"about_ca_topic_score_gemma":0.004869032,"domain_scores_codex":[0.9329053,0.04727548,0.006862627,0.002894582,0.00873642,0.001325642],"domain_scores_gemma":[0.9340753,0.03801463,0.005673979,0.004470022,0.01675615,0.001009955],"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":[0.001564302,0.007151596,0.05369247,0.02608313,0.001326839,0.0003439585,0.02670489,0.002925616,0.00673565,0.01416705,0.004002781,0.8553017],"study_design_scores_gemma":[0.0180382,0.09344064,0.2616459,0.1153789,0.02184625,0.00333505,0.08815707,0.07565884,0.08257394,0.02866139,0.2097663,0.001497465],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2916615,0.006730649,0.3744346,0.003347347,0.0003979767,0.3049357,0.001292181,0.0005699426,0.01663025],"genre_scores_gemma":[0.1738696,0.00217136,0.6771862,0.0008493991,0.00004095716,0.1436497,0.0003801505,0.00004473852,0.001807948],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09191667,"threshold_uncertainty_score":0.4861076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.61847506666809,"score_gpt":0.6801743296047834,"score_spread":0.06169926293669337,"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."}}