{"id":"W1544245149","doi":"10.2196/mhealth.4283","title":"Valuable Features in Mobile Health Apps for Patients and Consumers: Content Analysis of Apps and User Ratings","year":2015,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":247,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; App store; Usability; Mobile apps; Internet privacy; Computer science; World Wide Web; Feature (linguistics); Human–computer interaction; Medicine; Nursing; 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"],"consensus_categories":[],"category_scores_codex":[0.003065509,0.000354948,0.001461674,0.0007820492,0.001076315,0.00001717047,0.0001365651,0.0003403579,0.00001505793],"category_scores_gemma":[0.000279905,0.0003208939,0.00007066958,0.001037062,0.0002163637,0.0001679572,0.0001169545,0.0006771139,0.00000300182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000355527,"about_ca_system_score_gemma":0.002023538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004893973,"about_ca_topic_score_gemma":0.002177913,"domain_scores_codex":[0.9945797,0.0007382713,0.002019257,0.0008278245,0.0003836864,0.001451265],"domain_scores_gemma":[0.9948804,0.0009620536,0.00126627,0.0003717265,0.0005209285,0.001998659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001089159,0.0006401981,0.8518467,0.01210606,0.00009745984,4.139813e-7,0.01190609,0.000008743968,0.000006983408,0.009299966,0.02028197,0.09271628],"study_design_scores_gemma":[0.008185944,0.001890681,0.9031296,0.0002825201,0.000252529,0.000001694828,0.009730719,0.0008003579,0.000001335279,0.0004616133,0.07494717,0.0003158573],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9679789,0.01280445,0.0001821322,0.003919361,0.0002172885,0.01407035,0.0005287911,0.00007286367,0.0002258733],"genre_scores_gemma":[0.9615204,0.01004428,0.002209926,0.008291172,0.00008119938,0.01704592,0.0004396583,0.00005260771,0.000314795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09240042,"threshold_uncertainty_score":0.9999243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.136110711666146,"score_gpt":0.4724791364333821,"score_spread":0.3363684247672362,"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."}}