{"id":"W2596012313","doi":"10.2196/mhealth.7073","title":"Content, Usability, and Utilization of Plain Language in Breast Cancer Mobile Phone Apps: A Systematic Analysis","year":2017,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute","keywords":"Usability; Breast cancer; Mobile phone; Medicine; Mammography; Internet privacy; Phone; App store; Cancer; World Wide Web; Computer science; Internal medicine","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.002835082,0.0002673639,0.001304223,0.0004685332,0.00154193,0.00002295058,0.0002667782,0.0002975162,0.0001351165],"category_scores_gemma":[0.0002307239,0.0002294803,0.00007226481,0.000557989,0.0002440143,0.000203768,0.0001449608,0.0005841262,0.00001160827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003103706,"about_ca_system_score_gemma":0.001060343,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02193948,"about_ca_topic_score_gemma":0.01555768,"domain_scores_codex":[0.995426,0.0007942756,0.001872741,0.0006277371,0.0003148718,0.0009644022],"domain_scores_gemma":[0.995451,0.0006468475,0.001745187,0.001008493,0.0002300745,0.0009184082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002877408,0.0002699607,0.8532754,0.125046,0.00005280841,0.000001793161,0.007206505,0.00000550613,0.00003350759,0.002131223,0.0003501545,0.0113394],"study_design_scores_gemma":[0.0021833,0.00008994843,0.9857839,0.002704648,0.0002726179,0.000004634013,0.006390519,0.001949615,0.000002890591,0.0001572655,0.0002815691,0.0001790918],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807625,0.006855824,0.0001521254,0.003107655,0.000217281,0.008005016,0.0004853253,0.00005847102,0.0003557725],"genre_scores_gemma":[0.9749917,0.01147386,0.0001268685,0.001209562,0.0001240274,0.01179026,0.00005599383,0.0000272146,0.0002004985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1325085,"threshold_uncertainty_score":0.9997579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1191780290452743,"score_gpt":0.4887950578800304,"score_spread":0.3696170288347561,"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."}}