{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004878878,0.001010932,0.002604348,0.01838212,0.0003124272,0.001388515,0.001090039,0.0007278586,0.00271354],"category_scores_gemma":[0.01342274,0.0004490095,0.002669991,0.01374988,0.0007532774,0.001705719,0.001141719,0.0007637311,0.0005547487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001419281,"about_ca_system_score_gemma":0.002879409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004877614,"about_ca_topic_score_gemma":0.007433789,"domain_scores_codex":[0.9958651,0.001110211,0.001443378,0.0003284611,0.001126122,0.0001266712],"domain_scores_gemma":[0.9819221,0.01203919,0.003398168,0.0002154275,0.002243756,0.0001812555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000335045,0.00007382296,0.00655851,0.3160571,0.002354321,0.0002732835,0.0005469656,0.0002416579,0.0003647626,0.0008100269,0.01273277,0.6596517],"study_design_scores_gemma":[0.0004825468,0.0009321054,0.1634495,0.5095012,0.02479848,0.004997752,0.001774253,0.001016114,0.0008513831,0.001118456,0.2908134,0.0002646951],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001925525,0.9964092,0.0001937741,0.000262823,0.00008161753,0.0001239916,0.0005219844,0.00001355633,0.0004674163],"genre_scores_gemma":[0.0190248,0.9783782,0.001112862,0.0003114793,0.0001148415,0.0002745544,0.0006185816,0.000008472402,0.0001561995],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01838212,"threshold_uncertainty_score":0.02580231,"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."}}