{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.007301491,0.0009068585,0.004956427,0.0004819631,0.000514827,0.00003862816,0.001876261,0.00201525,0.0003670777],"category_scores_gemma":[0.005673262,0.000615822,0.000388133,0.0009300768,0.0001157352,0.0001563881,0.0009332629,0.006707074,0.00253377],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.006684046,"about_ca_system_score_gemma":0.01042173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001406792,"about_ca_topic_score_gemma":0.003974809,"domain_scores_codex":[0.9581847,0.03340229,0.004111633,0.001451985,0.0006268791,0.002222585],"domain_scores_gemma":[0.9621406,0.03274377,0.00257068,0.001574336,0.0004673325,0.0005032503],"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":[0.00007663404,0.0003922301,0.0006634211,0.01387573,0.00006635154,0.00002370858,0.007779571,0.000001504703,1.406559e-7,0.0002094007,0.1156357,0.8612756],"study_design_scores_gemma":[0.001013787,0.001089353,0.0001380346,0.04455008,0.0003199874,0.00001774369,0.0003022787,0.00008058417,1.414018e-8,0.00004560086,0.951954,0.000488514],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003293635,0.9617946,0.00117604,0.002709402,0.01999936,0.01273268,0.0001107584,0.0001436659,0.001004146],"genre_scores_gemma":[0.00004887058,0.9838572,0.001257121,0.003447833,0.003670347,0.006827138,0.0003712372,0.0001354643,0.0003848518],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8607871,"threshold_uncertainty_score":0.9996293,"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."}}