{"id":"W2016300291","doi":"10.1016/s1386-5056(02)00070-9","title":"The patient clinical information system (PatCIS): technical solutions for and experience with giving patients access to their electronic medical records","year":2002,"lang":"en","type":"article","venue":"International Journal of Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":164,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"U.S. National Library of Medicine","keywords":"Medical record; Medicine; Medical emergency; Health care; Electronic medical record; Electronic data capture; Family medicine; Clinical trial","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01190037,0.0004083083,0.000250824,0.001161772,0.001205439,0.003782148,0.0008354484,0.001438552,0.007845672],"category_scores_gemma":[0.03440182,0.0004276887,0.0002623083,0.00150726,0.000765838,0.005443445,0.003068881,0.002912468,0.002849584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009182207,"about_ca_system_score_gemma":0.004165032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009417546,"about_ca_topic_score_gemma":0.001950042,"domain_scores_codex":[0.9942721,0.002605255,0.0004977034,0.000355031,0.002024342,0.0002455616],"domain_scores_gemma":[0.9752783,0.01162556,0.002487815,0.003011729,0.003749719,0.00384692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002633446,0.0005637715,0.04023399,0.0002810583,0.0000383671,0.0005232267,0.006038924,0.000358804,0.009064284,0.009174572,0.09242334,0.8410364],"study_design_scores_gemma":[0.0002101259,0.002361009,0.06679068,0.0004806436,0.0001769086,0.01315186,0.00764546,0.007459346,0.02457921,0.009876444,0.8669803,0.0002880043],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5162585,0.007097255,0.1852526,0.1069678,0.00259436,0.001890504,0.00354224,0.01699779,0.159399],"genre_scores_gemma":[0.613019,0.005624353,0.3121058,0.01106981,0.001449015,0.0004862114,0.003922794,0.001611261,0.05071182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01190037,"threshold_uncertainty_score":0.06293601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08088028993055627,"score_gpt":0.4495208305427005,"score_spread":0.3686405406121442,"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."}}