{"id":"W3022989352","doi":"10.2196/17669","title":"A Redesigned Order Entry System for Reducing Low-Value Preprocedural Cardiology Consultations: Quality-Improvement Cohort Study","year":2020,"lang":"en","type":"article","venue":"JMIR Perioperative Medicine","topic":"Hospital Admissions and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute","keywords":"Medicine; Referral; Cohort; Perioperative; Electronic medical record; Interventional cardiology; Order entry; Medical emergency; Emergency medicine; Outpatient clinic; Internal medicine; Cardiology; Family medicine; Surgery","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":[0.01539066,0.0006519063,0.001021011,0.001410794,0.001034479,0.001909375,0.0014982,0.001626344,0.002098002],"category_scores_gemma":[0.04389954,0.0006717466,0.001504361,0.001911523,0.0008360915,0.001951545,0.001184645,0.001651809,0.0004309794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003830047,"about_ca_system_score_gemma":0.006528231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01364957,"about_ca_topic_score_gemma":0.01190183,"domain_scores_codex":[0.9871351,0.006438002,0.001308631,0.001539782,0.002281114,0.001297301],"domain_scores_gemma":[0.9621875,0.009270511,0.01184641,0.005601902,0.006679417,0.004414366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02453975,0.04331077,0.817431,0.000571767,0.001040019,0.0002176687,0.002079509,0.000799669,0.001265995,0.0002190614,0.002937777,0.1055871],"study_design_scores_gemma":[0.009779482,0.0623559,0.919785,0.000156495,0.0008089584,0.0002352941,0.0008247552,0.003261354,0.0005146434,0.00008451922,0.002104966,0.00008864079],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970754,0.0002355327,0.0007004574,0.0002806867,0.00006810748,0.0009856822,0.000307833,0.00004383561,0.0003024268],"genre_scores_gemma":[0.9932181,0.0002655878,0.003762623,0.0005240759,0.0001563124,0.001018403,0.0006519204,0.00002492174,0.0003780413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01539066,"threshold_uncertainty_score":0.08139461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03298547395400041,"score_gpt":0.3616096476299233,"score_spread":0.3286241736759228,"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."}}