{"id":"W2156545903","doi":"10.3201/eid1801.101485","title":"Use of Lean Response to Improve Pandemic Influenza Surge in Public Health Laboratories","year":2012,"lang":"en","type":"article","venue":"Emerging infectious diseases","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Provincial Health Services Authority; University of British Columbia","funders":"University of British Columbia; Provincial Health Services Authority","keywords":"Pandemic; Public health; Multidisciplinary approach; Influenza pandemic; Coronavirus disease 2019 (COVID-19); Surge Capacity; Pandemic influenza; Medicine; Medical emergency; Environmental health; Business; Political science; Nursing; Infectious disease (medical specialty); Pathology; Disease","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006707331,0.000681139,0.0003577273,0.001162104,0.0008980715,0.001477072,0.001106187,0.0003733723,0.0009981561],"category_scores_gemma":[0.01172848,0.0002895959,0.0003294779,0.001079951,0.0005505641,0.0009115162,0.001387938,0.0005181094,0.0001529193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003350204,"about_ca_system_score_gemma":0.006858105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0144341,"about_ca_topic_score_gemma":0.01787873,"domain_scores_codex":[0.9952816,0.002731546,0.0002149363,0.000328752,0.00101507,0.0004280491],"domain_scores_gemma":[0.9924003,0.003594897,0.001094297,0.0007100197,0.00174976,0.0004507315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00268104,0.00501892,0.05153921,0.0006360025,0.0002672563,0.0006233214,0.004755203,0.2122185,0.04588326,0.004786786,0.003251423,0.668339],"study_design_scores_gemma":[0.001826899,0.01234949,0.09154185,0.0005180417,0.0005243252,0.0003610425,0.007883028,0.6931098,0.1502127,0.01436033,0.02702733,0.000285072],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.916257,0.0001091518,0.07528617,0.0006658512,0.00003498757,0.0005403434,0.0001285867,0.001405688,0.005572161],"genre_scores_gemma":[0.9327204,0.00007003322,0.06634818,0.0001201028,0.000009005328,0.000170222,0.0001119348,0.00002560481,0.0004246465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0144341,"threshold_uncertainty_score":0.03547215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1271436981456311,"score_gpt":0.4068271838611974,"score_spread":0.2796834857155663,"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."}}