{"id":"W2040614610","doi":"10.12927/hcq.2008.20094","title":"Yes, Virginia, There Are System Benefits to Be Gained from Providing Patients Access to Their Own Health Information","year":2008,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Medical Research and Practices","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Health care; Health information; Public relations; Health information technology; Health records; Electronic health record; Best practice; Nursing; Marketing; Internet privacy; Medicine; Economic growth; Political science; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001514098,0.0003172162,0.0006350433,0.0003166047,0.001965574,0.00009184595,0.0006682342,0.0002825487,0.0002326334],"category_scores_gemma":[0.0009298768,0.0002458088,0.00007435153,0.0006223914,0.00002733568,0.001451912,0.0001327337,0.001073454,0.00149955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008471736,"about_ca_system_score_gemma":0.002185517,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02446348,"about_ca_topic_score_gemma":0.008761282,"domain_scores_codex":[0.9936854,0.001918313,0.00132869,0.0004776191,0.001186253,0.001403683],"domain_scores_gemma":[0.9941792,0.001272145,0.000778826,0.0007000833,0.0008016592,0.002268118],"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":[0.001263631,0.0001898031,0.12258,0.004702802,0.00006269563,0.00002089732,0.165509,0.000005936383,0.00000527896,0.0008456022,0.1711648,0.5336496],"study_design_scores_gemma":[0.002103069,0.004054479,0.4587528,0.004301212,0.000007676776,0.000003228258,0.06920727,0.0001704369,0.00001075754,0.00007878533,0.4607804,0.0005298618],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8274608,0.0005930373,0.0006950438,0.1614065,0.001285566,0.005656356,0.001402075,0.0003427285,0.001157917],"genre_scores_gemma":[0.9522131,0.0001491912,0.0003586268,0.04507969,0.0007085439,0.0008693919,0.0004557277,0.00004143061,0.0001242789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5331197,"threshold_uncertainty_score":0.9999994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1491936847064916,"score_gpt":0.4432947977583125,"score_spread":0.2941011130518209,"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."}}