{"id":"W2246519406","doi":"10.5811/westjem.2014.11.24355","title":"Comments on \"Using Lean-Based Systems Engineering to Increase Capacity in the Emergency Department\"","year":2015,"lang":"en","type":"letter","venue":"Western Journal of Emergency Medicine","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences","funders":"","keywords":"Emergency department; Context (archaeology); Medicine; Lean manufacturing; Population; Incentive; Medical emergency; Operations management; Nursing; Engineering; Environmental health; History","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":[0.01097539,0.001981561,0.001818284,0.001274008,0.003257933,0.003625188,0.004114856,0.027939,0.01254621],"category_scores_gemma":[0.06783313,0.001037838,0.00208315,0.001107169,0.003546574,0.005419238,0.002496765,0.03087055,0.008536393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004153302,"about_ca_system_score_gemma":0.005679554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007502808,"about_ca_topic_score_gemma":0.008104989,"domain_scores_codex":[0.9915823,0.002342071,0.001022775,0.001141888,0.003213149,0.0006978026],"domain_scores_gemma":[0.9569407,0.02074983,0.003208868,0.0007753868,0.01505938,0.003265791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002683412,0.00001073953,0.0001047683,0.00007323454,0.000007630631,0.0001078732,0.00004727733,0.00002214175,0.00004424405,0.0002241146,0.9972331,0.002098113],"study_design_scores_gemma":[0.0001152246,0.000104312,0.001358479,0.000706849,0.00005156171,0.000829035,0.000444597,0.0003242875,0.0004116431,0.001282233,0.9942802,0.00009158759],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002232909,0.001598617,0.0002589162,0.8952927,0.1013924,0.00003126003,0.0001698196,0.0001085645,0.0009244374],"genre_scores_gemma":[0.001337153,0.000976853,0.0002247599,0.9261909,0.06780686,0.0000638551,0.00004324523,0.00003898462,0.003317443],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.027939,"threshold_uncertainty_score":0.05804414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1416655392782031,"score_gpt":0.3499103688181527,"score_spread":0.2082448295399496,"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."}}