{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01150406,0.0008486458,0.0007508773,0.001493682,0.0006515643,0.001043842,0.0007546458,0.0006348063,0.00370686],"category_scores_gemma":[0.01764048,0.0004639182,0.001023083,0.001236932,0.0008998639,0.000905054,0.001438403,0.001002414,0.001932585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009046622,"about_ca_system_score_gemma":0.002537694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00245811,"about_ca_topic_score_gemma":0.003398862,"domain_scores_codex":[0.994821,0.002031893,0.0007488758,0.0005490755,0.001654353,0.0001947757],"domain_scores_gemma":[0.9915974,0.002770127,0.0009759869,0.0006373372,0.003742122,0.0002770829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002501514,0.00466113,0.3710536,0.004602244,0.000881461,0.001656462,0.01990652,0.002110969,0.01100316,0.005537539,0.03239592,0.5436895],"study_design_scores_gemma":[0.001047743,0.006360035,0.8898048,0.001877473,0.0007218868,0.003575249,0.005930968,0.005805122,0.00434522,0.001383919,0.07892455,0.0002229599],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9642116,0.001619042,0.01224009,0.0006109785,0.0002481303,0.007531103,0.004316857,0.0001496853,0.009072469],"genre_scores_gemma":[0.9154891,0.002747562,0.05053286,0.000788458,0.0001368393,0.01668843,0.007919467,0.0001973767,0.005499709],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01150406,"threshold_uncertainty_score":0.06083995,"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."}}