{"id":"W3081365008","doi":"10.2196/19769","title":"A Simulated Graphical Interface for Integrating Patient-Generated Health Data From Smartwatches With Electronic Health Records: Usability Study","year":2020,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Clinical and Translational Science Institute, University of Florida; National Center for Advancing Translational Sciences; University of Florida; National Institute on Aging; National Institutes of Health; National Science Foundation","keywords":"Usability; Smartwatch; Health records; Human–computer interaction; Computer science; Interface (matter); World Wide Web; Wearable computer; Embedded system; Health care","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":[0.009612843,0.0008420512,0.0006583661,0.0009075112,0.0003895162,0.001132146,0.0007614535,0.001110042,0.00233085],"category_scores_gemma":[0.03112338,0.000347099,0.001033266,0.0004173458,0.0005619378,0.001088113,0.0009592131,0.0003973231,0.0003057474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004943716,"about_ca_system_score_gemma":0.0006293143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006908499,"about_ca_topic_score_gemma":0.0007095237,"domain_scores_codex":[0.9946359,0.003943241,0.0005149734,0.0003006913,0.000432962,0.0001722271],"domain_scores_gemma":[0.9708965,0.02379283,0.0009337936,0.001076396,0.002674705,0.0006256803],"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":[0.02308743,0.04868653,0.2008574,0.0130308,0.001296721,0.00450962,0.07832161,0.02028669,0.1283699,0.002092762,0.007702155,0.4717585],"study_design_scores_gemma":[0.0113219,0.2941232,0.3922335,0.003281439,0.003064892,0.006773341,0.0319226,0.135191,0.09147644,0.00144922,0.02826727,0.0008952043],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879531,0.0001220809,0.009863446,0.00007118822,0.00002657305,0.0011356,0.0000969912,0.0001664976,0.0005644684],"genre_scores_gemma":[0.954321,0.0002096891,0.04269993,0.0001466439,0.00003291816,0.001694639,0.0002416215,0.00003944262,0.0006142599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009612843,"threshold_uncertainty_score":0.05083817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1818901350289443,"score_gpt":0.4705809115885676,"score_spread":0.2886907765596233,"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."}}