{"id":"W2946066801","doi":"10.2196/12691","title":"Development of Comprehensive Personal Health Records Integrating Patient-Generated Health Data Directly From Samsung S-Health and Apple Health Apps: Retrospective Cross-Sectional Observational Study","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Medical record; Health records; Documentation; World Wide Web; Medical emergency; Health care; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006208708,0.0004106054,0.0006354571,0.001680758,0.001136004,0.001219964,0.000762425,0.000917985,0.001932661],"category_scores_gemma":[0.01331305,0.001098403,0.001038618,0.001967324,0.0006298787,0.00203651,0.001471341,0.00158271,0.0007107577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001278602,"about_ca_system_score_gemma":0.002093052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009946537,"about_ca_topic_score_gemma":0.01114548,"domain_scores_codex":[0.9955961,0.001244403,0.0008126914,0.0007904055,0.001129454,0.0004269619],"domain_scores_gemma":[0.9879655,0.003118041,0.004452005,0.001076803,0.002528722,0.0008588755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008468019,0.0003834574,0.9954386,0.00008428018,0.00005613708,0.00009622776,0.0008810433,0.00002049159,0.00009001841,0.0000284231,0.000317983,0.002518543],"study_design_scores_gemma":[0.00003897866,0.001215257,0.9923545,0.0001224335,0.0001192099,0.0005111431,0.003516717,0.0003731923,0.0002129,0.00003328647,0.001480618,0.00002172152],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968581,0.0002976877,0.0005323551,0.00005644782,0.000008973005,0.0004267349,0.001293072,0.00000938519,0.0005172178],"genre_scores_gemma":[0.9948015,0.0004195754,0.001559575,0.0002986829,0.00002490841,0.0006713913,0.001772237,0.00001191179,0.0004402281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009946537,"threshold_uncertainty_score":0.03283513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2850455919756439,"score_gpt":0.4959901135000193,"score_spread":0.2109445215243754,"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."}}