{"id":"W2982513246","doi":"10.2196/14198","title":"Quality of Deaf and Hard-of-Hearing Mobile Apps: Evaluation Using the Mobile App Rating Scale (MARS) With Additional Criteria From a Content Expert","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Hearing Impairment and Communication","field":"Psychology","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Rating scale; Computer science; Scale (ratio); Quality (philosophy); American Sign Language; Mobile phone; Multimedia; Sign language; Psychology; Medicine; Nursing; Psychological intervention","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":[],"consensus_categories":[],"category_scores_codex":[0.001573321,0.0001202273,0.000305297,0.00005536922,0.0001904019,0.00002024127,0.0001040958,0.00008228323,0.0007054271],"category_scores_gemma":[0.00002071262,0.00008990124,0.00002904543,0.0001057725,0.0001099708,0.0001100452,0.00005371969,0.0001799765,0.000003542918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006641608,"about_ca_system_score_gemma":0.0002061098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002814437,"about_ca_topic_score_gemma":0.0001249599,"domain_scores_codex":[0.9979877,0.000658044,0.0005378132,0.000272048,0.0002980167,0.0002463195],"domain_scores_gemma":[0.998479,0.0004261209,0.0004043308,0.0004340929,0.0001407277,0.0001157297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007517082,0.002260716,0.5038944,0.003220875,0.0002671361,8.690909e-7,0.1274795,0.0001835212,0.02079245,0.002268758,0.002908143,0.3292065],"study_design_scores_gemma":[0.003177645,0.001824074,0.9644513,0.0004631776,0.00004929966,0.00001008861,0.01866621,0.009252603,0.0001406859,0.0002352811,0.001508833,0.0002208626],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955703,0.002063079,0.000151691,0.0001508929,0.000109636,0.001454789,0.0001323334,0.00002040655,0.0003468448],"genre_scores_gemma":[0.996305,0.0001162264,0.002569585,0.0002601027,0.00007164073,0.0004798428,0.000148071,0.00001403856,0.00003553252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4605568,"threshold_uncertainty_score":0.7723932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2354223714211478,"score_gpt":0.4753699140046747,"score_spread":0.2399475425835269,"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."}}