{"id":"W2964331637","doi":"10.2196/12861","title":"Wearable Health Technology and Electronic Health Record Integration: Scoping Review and Future Directions","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":413,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wearable computer; Wearable technology; mHealth; Electronic health record; eHealth; Computer science; Health care; Internet privacy; Medicine; Nursing; Psychological intervention; Embedded system; Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03885431,0.001450907,0.004822194,0.03043522,0.001655507,0.007231264,0.003343431,0.004783476,0.005194213],"category_scores_gemma":[0.1248078,0.001373351,0.005675578,0.03514595,0.002909813,0.009892925,0.004184272,0.003484459,0.001034684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00753362,"about_ca_system_score_gemma":0.0422442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01408664,"about_ca_topic_score_gemma":0.02651904,"domain_scores_codex":[0.9781633,0.007741233,0.008252744,0.001253013,0.003888408,0.0007011749],"domain_scores_gemma":[0.7679822,0.1848993,0.01749319,0.00339024,0.02488269,0.001352256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001046295,0.00007206732,0.001325938,0.6091896,0.001149601,0.0002178652,0.001796317,0.0002984391,0.0002309261,0.00428813,0.01285391,0.3684725],"study_design_scores_gemma":[0.00001438989,0.00004868873,0.001085811,0.9319597,0.002137234,0.0001973997,0.0008736813,0.00009317863,0.0001004501,0.001228239,0.06223942,0.00002172249],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002155328,0.996867,0.0002840692,0.001571149,0.0002601488,0.0001008427,0.00008445103,0.000008299475,0.0006084549],"genre_scores_gemma":[0.001865669,0.9958413,0.0008941816,0.0007852616,0.0001575895,0.0002321686,0.0001140885,0.000005699711,0.0001038891],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03885431,"threshold_uncertainty_score":0.2054837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05060839451738907,"score_gpt":0.4586213154485265,"score_spread":0.4080129209311374,"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."}}