{"id":"W3020498834","doi":"10.1097/gox.0000000000002709","title":"Trends and Perceptions of Electronic Health Record Usage among Plastic Surgeons","year":2020,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery Global Open","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electronic health record; Perception; Health records; Internet privacy; Medicine; Psychology; Computer science; Health care; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002230341,0.0001080573,0.0001281642,0.001597447,0.0003220356,0.0009312081,0.0003352402,0.0003415774,0.001915427],"category_scores_gemma":[0.01010045,0.000156612,0.0003198653,0.001400602,0.0003908581,0.001011912,0.0006227351,0.0005468146,0.0002213558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006181726,"about_ca_system_score_gemma":0.0007882809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007844985,"about_ca_topic_score_gemma":0.01028896,"domain_scores_codex":[0.9982893,0.0004232619,0.000270705,0.0002326969,0.000580782,0.000203299],"domain_scores_gemma":[0.9839292,0.0044627,0.007682493,0.000309059,0.002382957,0.001233671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003026716,0.00004430612,0.9937878,0.00002245537,0.00001689938,0.00003173626,0.001226986,0.00002918823,0.0002174357,0.00001661107,0.0001472598,0.004428976],"study_design_scores_gemma":[0.000001563081,0.0000856613,0.9958991,0.00001652831,0.000005701656,0.0001362049,0.003315503,0.0001442927,0.00008013155,0.0000103427,0.0002992609,0.000005671569],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998865,0.0001088435,0.0000898761,0.0001762467,0.000003341503,0.000008447189,0.0002048269,0.00000458757,0.0005387783],"genre_scores_gemma":[0.9992261,0.000193522,0.0001536106,0.00006396656,0.000008514936,0.0000116795,0.0001934255,0.000002264194,0.0001469603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007844985,"threshold_uncertainty_score":0.01559865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0447975156318111,"score_gpt":0.3697058253356165,"score_spread":0.3249083097038054,"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."}}