{"id":"W4255897600","doi":"10.1001/jama.2013.277969","title":"Patient-Physician Interactions and Electronic Health Records","year":2013,"lang":"en","type":"letter","venue":"JAMA","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Health records; Family medicine; Electronic health record; Medical record; MEDLINE; Medical emergency; Health care; Surgery","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":[0.006663219,0.0002489824,0.000432382,0.001466134,0.003480467,0.00553528,0.001076949,0.01030798,0.06108178],"category_scores_gemma":[0.09973506,0.0005071824,0.000602846,0.003511974,0.001818384,0.006865147,0.002850618,0.006468308,0.01166987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004341079,"about_ca_system_score_gemma":0.006522221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008992598,"about_ca_topic_score_gemma":0.0174771,"domain_scores_codex":[0.9905342,0.005033749,0.0009700995,0.0004984498,0.002347178,0.0006163039],"domain_scores_gemma":[0.9108368,0.07087683,0.006745185,0.003088206,0.004169529,0.004283512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003345089,0.000043921,0.006502689,0.00007539122,0.0000111454,0.0007479219,0.0003571584,0.00008292672,0.0000217171,0.009301605,0.9417069,0.04111516],"study_design_scores_gemma":[0.00008033668,0.00004018514,0.01406262,0.0007711435,0.00002225351,0.002756129,0.001267483,0.0006985262,0.000112586,0.01828661,0.9618464,0.0000557407],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002151391,0.001907702,0.0004015884,0.9275066,0.001988129,0.00002733873,0.0005238807,0.0001181359,0.06537532],"genre_scores_gemma":[0.1881629,0.01675213,0.002651178,0.6809128,0.0200645,0.000354606,0.001283173,0.0002612683,0.08955744],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06108178,"threshold_uncertainty_score":0.2043389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.017773550636886,"score_gpt":0.2305379736816729,"score_spread":0.2127644230447869,"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."}}