{"id":"W91419335","doi":"","title":"Impact of a critical care clinical information system on interruption rates during intensive care nurse and physician documentation tasks.","year":2010,"lang":"en","type":"article","venue":"PubMed","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Documentation; Workload; Intensive care; Medicine; Work (physics); Nursing; MEDLINE; Medical emergency; Computer science; Intensive care medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006998551,0.0002658364,0.0002187145,0.0006901099,0.0006239774,0.0008705138,0.0004480136,0.0003839065,0.002257073],"category_scores_gemma":[0.07885449,0.0001724975,0.0004521412,0.000465357,0.0003432789,0.0007270988,0.0008399068,0.0005633893,0.0002773053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001113824,"about_ca_system_score_gemma":0.001203162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009495974,"about_ca_topic_score_gemma":0.009541312,"domain_scores_codex":[0.9921086,0.004237127,0.0006845515,0.0004314978,0.002143853,0.0003943664],"domain_scores_gemma":[0.8812419,0.0796266,0.01683709,0.003372262,0.01439704,0.004524977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004001949,0.00105488,0.8276142,0.0005406457,0.000254751,0.0001866867,0.01026007,0.0005594378,0.002855677,0.0001080362,0.002044026,0.1505197],"study_design_scores_gemma":[0.00003514109,0.001706169,0.9928032,0.0001011425,0.00009441616,0.00009552956,0.002534843,0.0006031641,0.0006827594,0.00005337546,0.001270822,0.00001940138],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965664,0.0005089668,0.0003164285,0.0001745302,0.00002761101,0.00005079909,0.0001826638,0.00002996881,0.00214266],"genre_scores_gemma":[0.9986026,0.0001516036,0.0004965395,0.00006075608,0.00001140193,0.00003074966,0.0002008988,0.000009475703,0.0004359715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009495974,"threshold_uncertainty_score":0.03701234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06337526443863395,"score_gpt":0.4886901277064368,"score_spread":0.4253148632678028,"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."}}