{"id":"W3139497804","doi":"10.2196/25148","title":"Beyond Getting Rid of Stupid Stuff in the Electronic Health Record (Beyond-GROSS): Protocol for a User-Centered, Mixed-Method Intervention to Improve the Electronic Health Record System","year":2021,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Burnout; Electronic data capture; Medicine; Documentation; Health care; Health information technology; Protocol (science); Nursing; Psychology; Computer science; Clinical trial; Alternative medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.04821214,0.003418952,0.003933582,0.002373205,0.004970528,0.003297725,0.0034736,0.006392375,0.0507438],"category_scores_gemma":[0.04124545,0.00293819,0.003478862,0.001882309,0.002805699,0.002321115,0.004024685,0.006069583,0.01091981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005271791,"about_ca_system_score_gemma":0.02614226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003106401,"about_ca_topic_score_gemma":0.00544431,"domain_scores_codex":[0.9679466,0.02087559,0.003599839,0.00216404,0.00292203,0.002491866],"domain_scores_gemma":[0.9736807,0.008453959,0.002809449,0.0046681,0.007996718,0.002390995],"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":[0.1603598,0.09136292,0.004510923,0.07416774,0.0009470099,0.001938017,0.02287603,0.006256075,0.01663824,0.02219918,0.1325155,0.4662285],"study_design_scores_gemma":[0.2677072,0.09105053,0.02338666,0.02887472,0.000996167,0.0004607033,0.01068575,0.005057593,0.01419553,0.01698708,0.5397625,0.0008356452],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.001412301,0.00005293464,0.001985937,0.0001042275,0.00007988548,0.9952574,0.000366116,0.00006564442,0.0006754483],"genre_scores_gemma":[0.0005024848,0.00002989473,0.002931716,0.00005663827,0.000005068046,0.9962204,0.00004198135,0.000003566302,0.0002081968],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.0507438,"threshold_uncertainty_score":0.2549732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1893518632852798,"score_gpt":0.6132651666231009,"score_spread":0.4239133033378212,"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."}}