{"id":"W3172321909","doi":"10.2196/26059","title":"Design, Development, and Evaluation of a Telemedicine Platform for Patients With Sleep Apnea (Ognomy): Design Science Research Approach","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telemedicine; Chatbot; Usability; Sleep apnea; Medicine; Population; Computer science; Medical emergency; Health care; World Wide Web; Human–computer interaction","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":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.04380376,0.0001626497,0.0003452368,0.000914111,0.004129649,0.00002652247,0.0003701479,0.0001637992,0.0000705388],"category_scores_gemma":[0.002052568,0.0001220663,0.00001763393,0.002942324,0.0009299278,0.0005031184,0.0003030768,0.001134743,0.00003296287],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008585917,"about_ca_system_score_gemma":0.01168722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002709673,"about_ca_topic_score_gemma":0.00001664745,"domain_scores_codex":[0.9913516,0.002132142,0.0008954781,0.0005668667,0.00341183,0.001642102],"domain_scores_gemma":[0.9801238,0.004197471,0.0002694752,0.0005004999,0.01431903,0.0005897437],"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":[0.003437263,0.003185596,0.02132658,0.008843972,0.0001059307,0.00000124541,0.1021818,0.0001404455,0.0008888018,0.01505497,0.01321745,0.831616],"study_design_scores_gemma":[0.05416487,0.01154919,0.4287611,0.002929774,0.0001155244,0.00001440775,0.1234294,0.2378169,0.01961177,0.01890578,0.1012188,0.00148248],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6434739,0.0005074593,0.2960486,0.0008559594,0.0001407761,0.04966039,0.00005430122,0.0000608285,0.009197712],"genre_scores_gemma":[0.8969913,0.00004895693,0.04622767,0.00007565964,0.00006497376,0.05628963,0.0001306285,0.00002768576,0.0001434695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8301335,"threshold_uncertainty_score":0.9971668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3787024776316943,"score_gpt":0.5638323821919409,"score_spread":0.1851299045602466,"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."}}