{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001423322,0.0002626978,0.001095745,0.0003099799,0.0001713763,0.00000409858,0.0003468716,0.0001320889,0.0002261305],"category_scores_gemma":[0.0003469428,0.0001494597,0.0001113396,0.0004302614,0.0001204213,0.0002315048,0.00006009978,0.001932557,0.00002983066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009810538,"about_ca_system_score_gemma":0.0007357583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002917487,"about_ca_topic_score_gemma":0.00005199178,"domain_scores_codex":[0.9955222,0.001232187,0.00171262,0.0001304263,0.0007350555,0.0006675159],"domain_scores_gemma":[0.9954174,0.0007924999,0.00203083,0.0003747085,0.001052747,0.0003318119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008494707,0.002484482,0.9667857,0.0004182675,0.0002289107,0.00001583017,0.008422717,0.00003712995,0.0002111014,0.00002399965,0.01492068,0.005601752],"study_design_scores_gemma":[0.01125723,0.04979874,0.9323215,0.004780826,0.00002516908,0.000002366748,0.001381041,0.00004055241,0.0000107914,0.0001363446,0.0001118947,0.0001335263],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994791,0.0001462839,0.00005386583,0.00172917,0.0009717548,0.001631686,0.000009293277,0.00001165182,0.0006553138],"genre_scores_gemma":[0.9985992,0.00004474384,0.000196678,0.00048762,0.0005482106,0.0000366124,0.00001216374,0.00003374383,0.00004098371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04731426,"threshold_uncertainty_score":0.8396105,"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."}}