{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001511314,0.0001621553,0.0005009551,0.0003396805,0.0002020798,0.00001122244,0.000222047,0.0002748401,0.0004523656],"category_scores_gemma":[0.0003495105,0.0001344396,0.00003724567,0.0006230162,0.0000210217,0.0004302289,0.0001882568,0.0009610789,0.00004924983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001358755,"about_ca_system_score_gemma":0.002732793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001158437,"about_ca_topic_score_gemma":0.002771644,"domain_scores_codex":[0.9959939,0.0002997459,0.001841763,0.0001475763,0.000758728,0.0009582537],"domain_scores_gemma":[0.9977783,0.0002654841,0.0007789127,0.0002098711,0.0000689612,0.000898496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000121009,0.00003493885,0.9403446,0.003819625,0.00001595212,0.000001598644,0.03876229,0.00001999694,8.20843e-7,0.005114448,0.005737853,0.006026839],"study_design_scores_gemma":[0.01587517,0.01048372,0.4729613,0.008183283,0.00008004977,0.00004555974,0.4167742,0.04001046,0.000003161007,0.005194948,0.02820598,0.002182114],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940926,0.00006834211,0.0003974381,0.0009094736,0.0004713949,0.002698781,0.000009590041,0.00004514177,0.001307214],"genre_scores_gemma":[0.9959743,0.0002627356,0.0001116107,0.003358408,0.00008487035,0.0001114673,0.00002808862,0.0000151707,0.00005334977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4673833,"threshold_uncertainty_score":0.5482286,"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."}}