{"id":"W1990793325","doi":"10.2196/ijmr.2402","title":"Evaluation of User Interface and Workflow Design of a Bedside Nursing Clinical Decision Support System","year":2013,"lang":"en","type":"article","venue":"Interactive Journal of Medical Research","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workflow; Clinical decision support system; Computer science; Decision support system; Interface (matter); Interface design; User interface; Human–computer interaction; Process management; Nursing; Medicine; Engineering; Database; Operating system; Data mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.129754,0.0001369012,0.0008992324,0.000623811,0.0001631783,0.00001499068,0.0005796801,0.000500272,0.002414718],"category_scores_gemma":[0.05738511,0.00009619929,0.0001233824,0.0004083411,0.0003816108,0.0003749814,0.0001761144,0.004217705,0.00009178828],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001436411,"about_ca_system_score_gemma":0.009148404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004556529,"about_ca_topic_score_gemma":0.00004836015,"domain_scores_codex":[0.9662457,0.02158379,0.0036116,0.0002582426,0.007581343,0.0007192829],"domain_scores_gemma":[0.9479468,0.03753345,0.001856763,0.0003376546,0.01145073,0.0008746398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002335234,0.0005852368,0.0102949,0.0007453166,0.0002985128,0.00002644768,0.005773764,0.00003292375,0.001266496,0.0001860858,0.04798379,0.9304713],"study_design_scores_gemma":[0.03457407,0.02716876,0.1393843,0.28233,0.0007580017,0.001280307,0.1636239,0.3224086,0.003864042,0.01541991,0.008375436,0.000812545],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9179118,0.001288726,0.07218494,0.00309176,0.001896783,0.002064256,0.000002338942,0.000007634062,0.001551784],"genre_scores_gemma":[0.9965259,0.0004610341,0.002270898,0.00004398368,0.000524221,0.00005481566,4.112259e-7,0.00002490876,0.00009379098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9296588,"threshold_uncertainty_score":0.9984972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3987370723332287,"score_gpt":0.6715881208175485,"score_spread":0.2728510484843198,"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."}}