{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02645314,0.0006372529,0.001046502,0.004018058,0.0004889519,0.001479191,0.0006629065,0.000770386,0.001832579],"category_scores_gemma":[0.07218617,0.0002952821,0.002216365,0.001416983,0.0006223912,0.001501171,0.001853789,0.0005920141,0.0005623568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007605764,"about_ca_system_score_gemma":0.001439761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009178988,"about_ca_topic_score_gemma":0.001958691,"domain_scores_codex":[0.977295,0.007103675,0.005011259,0.001039988,0.008991113,0.000558965],"domain_scores_gemma":[0.9161102,0.03757413,0.01197877,0.002136794,0.03059349,0.001606475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005830095,0.003910811,0.5489714,0.007781734,0.001536305,0.000751753,0.01994054,0.001922968,0.01327297,0.0005499208,0.007201476,0.38833],"study_design_scores_gemma":[0.0007022162,0.01201071,0.9444827,0.001626862,0.001111775,0.00120511,0.009354186,0.01007162,0.007942732,0.0004584747,0.0107387,0.0002950043],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785239,0.001014053,0.006667195,0.0002969451,0.0001078603,0.00701418,0.0009999366,0.0001650195,0.005210898],"genre_scores_gemma":[0.9505973,0.001089181,0.03637332,0.0002022448,0.00007636704,0.009051755,0.001175689,0.00004421615,0.001389846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02645314,"threshold_uncertainty_score":0.1398993,"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."}}