{"id":"W1963916193","doi":"10.3747/co.21.1759","title":"Toward Successful Migration to Computerized Physician Order Entry for Chemotherapy","year":2014,"lang":"en","type":"article","venue":"Current Oncology","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"Elekta","keywords":"Usability; Workflow; Computerized physician order entry; Medicine; Order entry; Clinical decision support system; Patient safety; Knowledge management; Nursing; Health care; Medical education; Decision support system; Medical emergency; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001050916,0.0001992731,0.0005843368,0.0001118071,0.0003589713,0.000008155193,0.0002606364,0.000257115,0.00009855651],"category_scores_gemma":[0.0002085761,0.0001809279,0.00007618724,0.0002538103,0.00002791281,0.00006497961,0.00005443388,0.0004678513,0.0003884695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007595138,"about_ca_system_score_gemma":0.0008783485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001173188,"about_ca_topic_score_gemma":0.0006720753,"domain_scores_codex":[0.997003,0.0008031313,0.000710286,0.0004137693,0.0001521906,0.0009176625],"domain_scores_gemma":[0.9977875,0.0009538143,0.0003289216,0.0003029742,0.0003760403,0.0002507978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004468793,0.0004198558,0.01084958,0.001317097,0.00003461359,3.006251e-7,0.007555939,0.000009733324,0.00118387,0.004025565,0.1828324,0.7913242],"study_design_scores_gemma":[0.00310294,0.0008348031,0.001553436,0.0001587657,0.00001129374,7.114775e-7,0.0003192395,0.003592313,0.00006944394,0.0005611499,0.9896213,0.0001746133],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5935227,0.0004971541,0.3306904,0.04372218,0.0187763,0.007533304,0.00003473308,0.0003652166,0.004857993],"genre_scores_gemma":[0.9315109,0.0004153803,0.009905887,0.03506885,0.01467377,0.006468662,0.0003446925,0.0001486982,0.001463131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8067889,"threshold_uncertainty_score":0.7378027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1586547349725397,"score_gpt":0.515748108605177,"score_spread":0.3570933736326372,"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."}}