{"id":"W3156370859","doi":"10.2196/25503","title":"Feasibility of a Voice-Enabled Medical Diary App (SpeakHealth) for Caregivers of Children With Special Health Care Needs and Health Care Providers: Mixed Methods Study","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thematic analysis; Health care; Descriptive statistics; Perception; Session (web analytics); Nursing; Psychology; Data collection; Qualitative property; Information sharing; Qualitative research; Medicine; Medical education; World Wide Web; Computer science","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.01304302,0.00034904,0.001487865,0.0006570318,0.002359604,0.00001727351,0.0004798661,0.000342184,0.0001122954],"category_scores_gemma":[0.0009900965,0.0002878496,0.0001306448,0.001932964,0.0005619719,0.0002688759,0.0004904172,0.001989595,0.000007166828],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001801162,"about_ca_system_score_gemma":0.02889719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005398119,"about_ca_topic_score_gemma":0.01766854,"domain_scores_codex":[0.9839335,0.009409287,0.002178185,0.0007904351,0.001751044,0.00193756],"domain_scores_gemma":[0.9898741,0.002814679,0.00110622,0.00101725,0.003424269,0.001763465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001658597,0.001547359,0.1372451,0.03275245,0.0001779365,0.000002454613,0.5546026,0.000002234327,0.000003525095,0.002527729,0.04809288,0.2213871],"study_design_scores_gemma":[0.008971471,0.0055627,0.227835,0.0009496997,0.00002384338,0.000007139713,0.7397743,0.00004504495,0.00003927459,0.000158437,0.01638818,0.0002449003],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8506483,0.01476876,0.005993387,0.03162838,0.0008639808,0.0904832,0.002327136,0.0002083017,0.003078573],"genre_scores_gemma":[0.9730824,0.00112696,0.006648319,0.001047884,0.0006814761,0.01653863,0.0006996072,0.00008109597,0.00009359547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2211422,"threshold_uncertainty_score":0.9999574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1084311766868248,"score_gpt":0.5601258529593299,"score_spread":0.4516946762725051,"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."}}