{"id":"W4409347038","doi":"10.1093/jamiaopen/ooaf021","title":"A proof-of-concept study for patient use of open notes with large language models","year":2025,"lang":"en","type":"article","venue":"JAMIA Open","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Patrick J. McGovern Foundation","keywords":"Proof of concept; Computer science; Programming language","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":[0.09792682,0.001877324,0.001240149,0.0008187032,0.001094907,0.002678724,0.00273851,0.002750848,0.008779556],"category_scores_gemma":[0.1332595,0.0008656654,0.00193216,0.0004360255,0.002369786,0.002867,0.002344643,0.002789532,0.001403583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001207086,"about_ca_system_score_gemma":0.006598293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004349774,"about_ca_topic_score_gemma":0.0004172846,"domain_scores_codex":[0.9385183,0.0476344,0.003311094,0.002338363,0.006914031,0.001283699],"domain_scores_gemma":[0.7999656,0.1440481,0.01630234,0.01326769,0.02212224,0.004294101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.1044381,0.1824838,0.02505353,0.03398067,0.002662437,0.00279352,0.0276115,0.007466711,0.1040576,0.01423303,0.02007393,0.4751452],"study_design_scores_gemma":[0.05199387,0.7401376,0.01451456,0.004305501,0.001873979,0.001892549,0.005852173,0.008749371,0.1043003,0.003847965,0.06217368,0.0003584911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7393898,0.001817783,0.1024333,0.00206692,0.001106694,0.1447625,0.002143385,0.0007211285,0.005558503],"genre_scores_gemma":[0.5986598,0.001156331,0.282413,0.001810308,0.0003943999,0.1121526,0.0006865372,0.0001500341,0.002577042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09792682,"threshold_uncertainty_score":0.5178927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1340610295313068,"score_gpt":0.491993353790721,"score_spread":0.3579323242594141,"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."}}