{"id":"W3138965520","doi":"10.2196/20890","title":"An mHealth App (Speech Banana) for Auditory Training: App Design and Development Study","year":2021,"lang":"en","type":"review","venue":"JMIR mhealth and uhealth","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Johns Hopkins University","keywords":"Usability; Computer science; mHealth; Population; Multimedia; Phone; World Wide Web; Human–computer interaction; Psychology; Medicine; 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":[0.00930493,0.0007577708,0.0005219203,0.00141088,0.0009831721,0.001410841,0.0007994949,0.0009495844,0.002519586],"category_scores_gemma":[0.01239792,0.0005651208,0.0006751798,0.0005157694,0.0007541411,0.001267999,0.001259557,0.0008302685,0.0006002652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009206368,"about_ca_system_score_gemma":0.003403418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009242948,"about_ca_topic_score_gemma":0.002187049,"domain_scores_codex":[0.9961966,0.001970909,0.0003636353,0.0004365801,0.0006762029,0.0003560535],"domain_scores_gemma":[0.9880844,0.008059092,0.000632429,0.0003089709,0.002186653,0.0007285238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005482645,0.04813263,0.100172,0.01424796,0.0003421959,0.007196922,0.1062084,0.002734546,0.03652021,0.004908487,0.009311439,0.6647426],"study_design_scores_gemma":[0.01084648,0.2322996,0.2806787,0.008276633,0.003454657,0.01689813,0.1236186,0.02709212,0.06136622,0.006357256,0.2280538,0.001057949],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9449583,0.001314531,0.02251994,0.0003836951,0.00007968135,0.02556698,0.0003098342,0.0001395042,0.004727596],"genre_scores_gemma":[0.769286,0.002939335,0.1729283,0.0009966176,0.00008256484,0.04526322,0.0004287768,0.00009870387,0.007976507],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00930493,"threshold_uncertainty_score":0.04920971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2929473920425413,"score_gpt":0.4682710191049692,"score_spread":0.1753236270624278,"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."}}