{"id":"W1491762871","doi":"10.1002/jhm.2072","title":"Impact of vendor computerized physician order entry on patients with renal impairment in community hospitals","year":2013,"lang":"en","type":"article","venue":"Journal of Hospital Medicine","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Commonwealth Fund","keywords":"Medicine; Clinical decision support system; Computerized physician order entry; Clearance; Emergency medicine; Hospital medicine; Intensive care medicine; Decision support system; Internal medicine; Health care; Urology","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":[0.003447141,0.0002496663,0.0002639415,0.0004706317,0.0005496505,0.001022959,0.0006094963,0.0004962698,0.002359031],"category_scores_gemma":[0.03499169,0.000235171,0.0004866105,0.0005486239,0.0004825564,0.0006727076,0.00137588,0.0007545254,0.0001257659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002052773,"about_ca_system_score_gemma":0.004279001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01304114,"about_ca_topic_score_gemma":0.01960688,"domain_scores_codex":[0.9933494,0.004134286,0.0004722942,0.0003085979,0.001053791,0.0006816894],"domain_scores_gemma":[0.9755583,0.008979536,0.008638022,0.0007108251,0.00159693,0.004516467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002320956,0.005957527,0.9294379,0.0002510851,0.0002004131,0.0002413976,0.000897748,0.0009897252,0.0006896644,0.0001100306,0.001178419,0.05772509],"study_design_scores_gemma":[0.0005302983,0.007539906,0.9874204,0.0001335563,0.00007172757,0.000172297,0.001257396,0.00157814,0.0003150916,0.00007599792,0.000880104,0.00002522373],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988458,0.0001422888,0.0000384118,0.0004070145,0.000008250903,0.00006852786,0.00004473065,0.00000696249,0.0004381178],"genre_scores_gemma":[0.9994449,0.00008452606,0.0001857625,0.0001370623,0.00001324897,0.00002794899,0.00004647255,9.094034e-7,0.00005923886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01304114,"threshold_uncertainty_score":0.02593046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01408639858366998,"score_gpt":0.3684555250512516,"score_spread":0.3543691264675816,"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."}}