{"id":"W3083722384","doi":"10.1007/s11606-020-06119-z","title":"Implementation of a Behavioral Economics Electronic Health Record (BE-EHR) Module to Reduce Overtreatment of Diabetes in Older Adults","year":2020,"lang":"en","type":"article","venue":"Journal of General Internal Medicine","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute on Aging; National Institutes of Health; National Center for Advancing Translational Sciences; School of Medicine, New York University; York University","keywords":"Medicine; Electronic health record; Diabetes mellitus; Health records; Gerontology; MEDLINE; Family medicine; Health information technology; Medical emergency; Health care","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003292493,0.0002727099,0.0003931891,0.0007297272,0.0006261199,0.0006827699,0.0006480915,0.0008405469,0.003521723],"category_scores_gemma":[0.01206116,0.0002720187,0.0008576902,0.0004512805,0.0001587199,0.0009035561,0.001122712,0.001073743,0.0005802711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008451685,"about_ca_system_score_gemma":0.003818412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006876909,"about_ca_topic_score_gemma":0.01233694,"domain_scores_codex":[0.9979782,0.0008957644,0.0002450923,0.0001767838,0.0004002796,0.0003039273],"domain_scores_gemma":[0.9965116,0.0009253125,0.0006644648,0.000254989,0.0005797577,0.001063986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.00535738,0.07542825,0.1900588,0.0007803768,0.0004777525,0.0002246063,0.0009639681,0.0008848416,0.00200912,0.0005651446,0.01624573,0.7070041],"study_design_scores_gemma":[0.006513228,0.02662103,0.9356599,0.001001684,0.0009767042,0.0002692053,0.001051679,0.006117264,0.002998458,0.0007339859,0.01797926,0.00007758164],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710153,0.0006882423,0.00322657,0.01076657,0.0005381618,0.002684069,0.001220043,0.0004734083,0.009387619],"genre_scores_gemma":[0.9652413,0.000855871,0.01804512,0.007248366,0.0003938105,0.001527459,0.001047606,0.00003024966,0.005610284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006876909,"threshold_uncertainty_score":0.01741254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04718627121501288,"score_gpt":0.3827545510547912,"score_spread":0.3355682798397783,"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."}}