{"id":"W2975516305","doi":"10.2196/14479","title":"The German Version of the Mobile App Rating Scale (MARS-G): Development and Validation Study","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":173,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mars Exploration Program; Scale (ratio); German; Computer science; Internal consistency; Quality (philosophy); Information retrieval; Medicine; Astrobiology; Psychometrics; Geography; Clinical psychology; Cartography; Physics","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":[0.003027275,0.0002160773,0.0003916516,0.00008631804,0.004038153,0.00001658589,0.0002520227,0.0001693331,0.00004295379],"category_scores_gemma":[0.00005393059,0.0001336689,0.0000343362,0.0003810595,0.0001105953,0.0001039063,0.0002350876,0.0007528667,0.0000765154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002172537,"about_ca_system_score_gemma":0.001730864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000381571,"about_ca_topic_score_gemma":0.0004542329,"domain_scores_codex":[0.9960391,0.0008765275,0.001279387,0.0004748912,0.0004523685,0.0008777386],"domain_scores_gemma":[0.9969228,0.0008354175,0.0008722701,0.00066228,0.0001821205,0.0005251358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000420999,0.0004586914,0.7723736,0.007567749,0.00001901786,2.915943e-7,0.02777137,0.000006733244,0.00008780982,0.002700957,0.005950099,0.1826427],"study_design_scores_gemma":[0.002618412,0.0004866785,0.7499428,0.0002583785,0.00003697557,0.000003135174,0.0128206,0.0002306724,0.00005644243,0.0002402025,0.2331162,0.0001895205],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840255,0.0009573535,0.00001702668,0.001957339,0.0006026862,0.01136173,0.00001654659,0.0000626926,0.0009991438],"genre_scores_gemma":[0.9915018,0.001041769,0.0002318005,0.001352965,0.0001376742,0.004672249,0.00002042573,0.00002851209,0.001012805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2271661,"threshold_uncertainty_score":0.9972584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04161580190265386,"score_gpt":0.4362154778885555,"score_spread":0.3945996759859017,"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."}}