{"id":"W4417413022","doi":"10.1108/dl-06-2008-0003","title":"Computerized Physician Order Entry","year":2008,"lang":"en","type":"article","venue":"Distance Learning","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical prescription; Computerized physician order entry; Health care; Health care delivery; Adverse effect; Medical care; MEDLINE; Patient safety","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":[0.002289526,0.001265089,0.001128865,0.007202914,0.001076496,0.003173918,0.001560949,0.0008549449,0.2177311],"category_scores_gemma":[0.02060909,0.000626008,0.0008929626,0.006056029,0.000311398,0.001868341,0.002182178,0.001569013,0.1236681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002130446,"about_ca_system_score_gemma":0.004354403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007274676,"about_ca_topic_score_gemma":0.009181345,"domain_scores_codex":[0.995566,0.000748825,0.000730559,0.0007049897,0.001932549,0.0003170698],"domain_scores_gemma":[0.9873658,0.003757452,0.001818049,0.001561175,0.004334562,0.001162921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001078884,0.0003839522,0.009765906,0.0005356117,0.00003974906,0.0001861483,0.0001535791,0.0003832567,0.0005922708,0.002151779,0.5954195,0.3893093],"study_design_scores_gemma":[0.0006567811,0.0004737453,0.02432718,0.0006728017,0.00005685862,0.0006363708,0.0001508045,0.00381767,0.002310093,0.002224201,0.9645377,0.0001357622],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03645693,0.007771271,0.02933549,0.008058648,0.005553271,0.009693674,0.3168466,0.04154593,0.5447381],"genre_scores_gemma":[0.187619,0.01216664,0.07118889,0.01021805,0.004163404,0.007605942,0.3605489,0.003173585,0.3433156],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2177311,"threshold_uncertainty_score":0.7283832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04329384271214977,"score_gpt":0.3875960500854149,"score_spread":0.3443022073732652,"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."}}