{"id":"W2078306615","doi":"10.3747/co.21.1990","title":"Computerized Prescriber Order Entry in the Outpatient Oncology Setting: From Evidence to Meaningful Use","year":2014,"lang":"en","type":"review","venue":"Current Oncology","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Cancer Care Ontario","funders":"","keywords":"Medicine; Order entry; Order (exchange); Oncology; Data science; Bioinformatics; Family medicine; Medical emergency; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06849863,0.001098606,0.007005719,0.01654006,0.001046462,0.008391901,0.003798763,0.004475868,0.004885582],"category_scores_gemma":[0.3520344,0.001564472,0.005912907,0.02008573,0.00270395,0.008646556,0.003934265,0.004265706,0.0003799206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01348593,"about_ca_system_score_gemma":0.03615664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01167746,"about_ca_topic_score_gemma":0.0270926,"domain_scores_codex":[0.8788617,0.05721512,0.04055889,0.003043133,0.01908807,0.001232988],"domain_scores_gemma":[0.5605006,0.3656574,0.04206635,0.004269239,0.02529976,0.002206621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002291696,0.00004516673,0.001658446,0.8421713,0.00287126,0.00007122896,0.0008865671,0.0001365452,0.00006878414,0.00141616,0.003535137,0.1469103],"study_design_scores_gemma":[0.0001801093,0.0001181417,0.002000835,0.9813773,0.004471452,0.000069329,0.0004527217,0.00008000757,0.00006102994,0.0008014034,0.0103672,0.00002047785],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001294178,0.9917926,0.0002963211,0.004140836,0.0003785233,0.0005005084,0.0003241657,0.00001577022,0.001257219],"genre_scores_gemma":[0.03934944,0.950217,0.003668657,0.004536944,0.0003129441,0.0014551,0.0003468621,0.00001535303,0.00009763622],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.06849863,"threshold_uncertainty_score":0.3622597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.53894003141009,"score_gpt":0.6094679553028015,"score_spread":0.07052792389271156,"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."}}