{"id":"W4310778005","doi":"10.2196/42225","title":"The Persian Version of the Mobile Application Rating Scale (MARS-Fa): Translation and Validation Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mazandaran University of Medical Sciences","keywords":"Cronbach's alpha; Construct validity; Psychology; eHealth; App store; Discriminant validity; Rating scale; Applied psychology; Computer science; Clinical psychology; Health care; World Wide Web; Psychometrics; Developmental psychology; Internal consistency","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":[0.01383834,0.0009202904,0.0006912036,0.00171858,0.0007991468,0.0008837504,0.0006012167,0.0004539882,0.0045816],"category_scores_gemma":[0.01967662,0.0004149124,0.001055806,0.001412792,0.0008207252,0.0008160286,0.001004943,0.001336547,0.001948411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006351404,"about_ca_system_score_gemma":0.002634337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001525179,"about_ca_topic_score_gemma":0.002498516,"domain_scores_codex":[0.9946509,0.001736818,0.0008521889,0.0005494489,0.001976267,0.0002344277],"domain_scores_gemma":[0.9915223,0.002318891,0.0006625623,0.0004742917,0.004835564,0.0001864429],"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":[0.001274027,0.004407052,0.2661417,0.002609219,0.000386969,0.001392736,0.0289383,0.001016606,0.01293082,0.003640213,0.02372081,0.6535415],"study_design_scores_gemma":[0.001349473,0.007167333,0.80018,0.002726068,0.0006610543,0.00506381,0.01878547,0.005030305,0.008173689,0.002401771,0.1482085,0.0002524662],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9459551,0.002367747,0.01729152,0.001356992,0.0009680746,0.007441558,0.003163121,0.0001908037,0.02126503],"genre_scores_gemma":[0.898468,0.0036007,0.06862564,0.001468181,0.0003976581,0.01492053,0.004385849,0.000266819,0.00786649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01383834,"threshold_uncertainty_score":0.07318497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08630081352896798,"score_gpt":0.5081903437837487,"score_spread":0.4218895302547807,"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."}}