{"id":"W3202201262","doi":"10.2196/29815","title":"App Designs and Interactive Features to Increase mHealth Adoption: User Expectation Survey and Experiment","year":2021,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Computer science; Human–computer interaction; Internet privacy; Multimedia; World Wide Web; Psychology; Psychological intervention","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":[0.002218967,0.0004633668,0.0008223081,0.0003300137,0.002522576,0.00005547593,0.0001333985,0.0004023441,0.0001503929],"category_scores_gemma":[0.0004931606,0.0004521731,0.0000402664,0.0006843044,0.0001285201,0.000275249,0.0002400847,0.001161732,0.00006029665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000517943,"about_ca_system_score_gemma":0.003000483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004721948,"about_ca_topic_score_gemma":0.004944333,"domain_scores_codex":[0.9931756,0.002261007,0.00134845,0.001252569,0.0004158088,0.001546573],"domain_scores_gemma":[0.9930314,0.00164643,0.0005729738,0.0006110641,0.0005376688,0.003600439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006348619,0.001526996,0.4700746,0.02185622,0.0001009394,0.00005335201,0.0573041,0.000007497174,0.0006502774,0.0372762,0.1508953,0.253906],"study_design_scores_gemma":[0.002368959,0.0005480954,0.9284765,0.0003504782,0.00003801693,0.00005441258,0.007747527,0.00005415119,0.00003039412,0.0002735562,0.05967366,0.0003842338],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690901,0.008529769,0.001669916,0.01241688,0.0006434037,0.006099201,0.0002527407,0.0002341051,0.001063888],"genre_scores_gemma":[0.9485628,0.01220592,0.005688515,0.02270414,0.0006174938,0.008003854,0.0004302002,0.00008802414,0.001699055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4584019,"threshold_uncertainty_score":0.999793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1077122875701904,"score_gpt":0.4811675139068932,"score_spread":0.3734552263367029,"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."}}