{"id":"W3170114463","doi":"10.2196/27021","title":"Toward a Better Understanding of the Intention to Use mHealth Apps: Exploratory Study","year":2021,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; eHealth; Download; Psychology; Technology acceptance model; Promotion (chess); Usability; Health promotion; Exploratory research; Applied psychology; Internet privacy; Health care; Medicine; Psychological intervention; Computer science; World Wide Web; Public health; Nursing; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002536928,0.0003790578,0.0008464388,0.0003077823,0.002427564,0.00002976028,0.0003420023,0.0003083021,0.0001337016],"category_scores_gemma":[0.0004624764,0.0003028485,0.0001201552,0.001491966,0.0001351272,0.0002633087,0.0003892191,0.001432173,0.00007935072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001092935,"about_ca_system_score_gemma":0.004648719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001194041,"about_ca_topic_score_gemma":0.004168653,"domain_scores_codex":[0.9924194,0.002177438,0.00212325,0.0009488625,0.0006972334,0.001633791],"domain_scores_gemma":[0.994662,0.0008522685,0.000948502,0.001217151,0.0005289342,0.001791182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008126108,0.001975857,0.8260914,0.01599492,0.00006833192,0.00001588981,0.04925716,0.000006115374,0.0001269659,0.04195455,0.03780292,0.02589328],"study_design_scores_gemma":[0.004243827,0.0009553646,0.8275797,0.0011584,0.0001721829,0.00001797505,0.08227647,0.00009620037,0.00002056627,0.003398038,0.07960118,0.0004800312],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9568827,0.0007147327,0.002757328,0.02709592,0.00161186,0.009903721,0.0001282123,0.0001662712,0.0007392755],"genre_scores_gemma":[0.9668308,0.001253012,0.0007245992,0.02519401,0.000278571,0.005137885,0.00003610194,0.00007047015,0.0004744724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04179826,"threshold_uncertainty_score":0.9999424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2926389954969588,"score_gpt":0.4753536747929736,"score_spread":0.1827146792960148,"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."}}