{"id":"W2963133337","doi":"10.2196/14991","title":"German Mobile Apps in Rheumatology: Review and Analysis Using the Mobile Application Rating Scale (MARS)","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":194,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Pfizer","keywords":"German; Mobile apps; App store; Android (operating system); Medicine; Internet privacy; Rating scale; World Wide Web; Computer science; Psychology","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":[0.003554622,0.0003387881,0.001201721,0.0003858608,0.001559652,0.00001596178,0.0002604224,0.0003382815,0.0001851538],"category_scores_gemma":[0.00004627385,0.0002656368,0.00008368553,0.001792237,0.0001450966,0.0001643908,0.0001605743,0.001266352,0.0001036961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003184267,"about_ca_system_score_gemma":0.001096136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002009774,"about_ca_topic_score_gemma":0.001015984,"domain_scores_codex":[0.9944381,0.001090559,0.001899232,0.0009057174,0.0002922385,0.001374174],"domain_scores_gemma":[0.996151,0.0008506594,0.001051457,0.0009615953,0.0001613407,0.0008239896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001216995,0.0002558049,0.8599067,0.07199691,0.0000567338,8.520368e-7,0.004980217,0.00009646125,0.00004504357,0.004364558,0.003071199,0.05510385],"study_design_scores_gemma":[0.006327483,0.0008018821,0.503617,0.004584707,0.002018204,0.00008822719,0.01064341,0.05013567,0.000004782358,0.001467961,0.4187715,0.001539155],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9283462,0.0482625,0.0005132226,0.003284593,0.0002403062,0.01862011,0.00007037208,0.0001241062,0.0005386518],"genre_scores_gemma":[0.8580023,0.1030237,0.000787457,0.01093879,0.00009178851,0.02662326,0.0001723316,0.00005456425,0.0003057778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4157003,"threshold_uncertainty_score":0.9999796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04264117270296945,"score_gpt":0.4695879857862,"score_spread":0.4269468130832306,"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."}}