{"id":"W4414361223","doi":"10.1080/16549716.2025.2547439","title":"A systematic process to formulate quality lessons learned about hospital resilience during the COVID-19 pandemic","year":2025,"lang":"en","type":"article","venue":"Global Health Action","topic":"Disaster Response and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Japan Science and Technology Agency; National Institute on Deafness and Other Communication Disorders; Canadian Institutes of Health Research; Agence Nationale de la Recherche","keywords":"Pandemic; Resilience (materials science); Process (computing); Quality (philosophy); Health care; Coronavirus disease 2019 (COVID-19); Systematic review; Psychological resilience; MEDLINE","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002856923,0.0001672096,0.0003642491,0.00009084741,0.001934941,0.00003377465,0.0003216444,0.0001042333,0.00002197789],"category_scores_gemma":[0.001260909,0.0001208424,0.00006498057,0.000715185,0.00003252163,0.0001721072,0.0001758916,0.0003246393,0.0002062382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002773986,"about_ca_system_score_gemma":0.00140715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002621124,"about_ca_topic_score_gemma":0.003734497,"domain_scores_codex":[0.996242,0.00140809,0.0008653065,0.0004125365,0.0003638259,0.0007081709],"domain_scores_gemma":[0.9982738,0.0003119915,0.0004350045,0.000531727,0.000100039,0.0003474535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"observational","study_design_scores_codex":[0.005848059,0.0007559324,0.1545798,0.5887933,0.0003764196,0.00001708017,0.07047915,0.00273664,0.00008876399,0.1081344,0.04387536,0.02431513],"study_design_scores_gemma":[0.004400947,0.0004897664,0.7823938,0.01647467,0.0001380918,0.00001204557,0.1245954,0.0004941616,0.000006141282,0.02652482,0.04373061,0.0007394807],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9191853,0.0003237892,0.01221688,0.05620725,0.00148546,0.006166968,0.00005247329,0.0003476744,0.004014227],"genre_scores_gemma":[0.9765807,0.0001298079,0.00002276915,0.01767066,0.0000733436,0.001019699,0.000006445874,0.000007789462,0.004488776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6278141,"threshold_uncertainty_score":0.9993644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1572008750651259,"score_gpt":0.5849511912902882,"score_spread":0.4277503162251623,"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."}}