{"id":"W2944358676","doi":"10.2196/11570","title":"Understanding of and Barriers to Electronic Health Record Patient Portal Access in a Culturally Diverse Pediatric Population","year":2019,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Leonard M. Miller School of Medicine; University of Miami","keywords":"Patient portal; Electronic health record; Medicine; Population; Health care; Environmental health; 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":[0.002133659,0.0001762485,0.0002868743,0.0005195398,0.0005887544,0.001359448,0.0004004475,0.0003734813,0.001363611],"category_scores_gemma":[0.007212106,0.0002415041,0.0002585837,0.0005719267,0.0006743062,0.0009318396,0.0008999591,0.0008573732,0.0001178926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005313564,"about_ca_system_score_gemma":0.001226643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01006386,"about_ca_topic_score_gemma":0.01021202,"domain_scores_codex":[0.9987784,0.0004830819,0.0001052064,0.0001011487,0.0003168005,0.0002153248],"domain_scores_gemma":[0.9975502,0.0009172608,0.0008272563,0.00006217293,0.0002917356,0.0003513704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003376561,0.0001798256,0.9639205,0.00004913823,0.00003022057,0.0005795691,0.02732817,0.00005351565,0.0003765815,0.000175857,0.0002564127,0.007016453],"study_design_scores_gemma":[0.000009287445,0.0002919859,0.8702226,0.0001978068,0.00003827323,0.001853381,0.1252507,0.0004691564,0.0002312867,0.0002123894,0.001208364,0.00001481029],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999406,0.00007650501,0.0000318837,0.0001268905,0.000001316532,0.000005392148,0.00001626877,7.193913e-7,0.0003349977],"genre_scores_gemma":[0.9995565,0.0002093323,0.00007769422,0.00007809224,0.00000170965,0.000009439897,0.00002154807,7.736268e-7,0.00004497874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01006386,"threshold_uncertainty_score":0.02001053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06804778627111842,"score_gpt":0.4228539260144009,"score_spread":0.3548061397432825,"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."}}