{"id":"W4321183646","doi":"10.1080/23288604.2023.2165429","title":"Adaptation and Response of a Major Parisian Referral Hospital to the COVID-19 Surge: A Qualitative Study","year":2023,"lang":"en","type":"article","venue":"Health Systems & Reform","topic":"Disaster Response and Management","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research; Agence Nationale de la Recherche","keywords":"Surge Capacity; Pandemic; Referral; Psychological resilience; Medicine; Coronavirus disease 2019 (COVID-19); Adaptation (eye); Nursing; Qualitative research; Crisis management; Medical emergency; Psychology; Political science; Sociology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01630176,0.0001761389,0.0004784059,0.0003560949,0.000859609,0.00001972202,0.0001926754,0.00007795689,0.00001513301],"category_scores_gemma":[0.0007051177,0.0001114424,0.000044025,0.0007848537,0.00003915198,0.0001089054,0.0002331569,0.0002476352,0.0002385674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008799733,"about_ca_system_score_gemma":0.001024198,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03275078,"about_ca_topic_score_gemma":0.006821075,"domain_scores_codex":[0.9914054,0.005932084,0.001142698,0.0003654112,0.0005315923,0.0006227855],"domain_scores_gemma":[0.9972118,0.001124608,0.0005349704,0.0005465084,0.0001248749,0.0004572334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.002367498,0.0001120233,0.000782617,0.001287478,0.00006434869,0.00001395447,0.9469358,0.0000166524,0.000002782886,0.00303821,0.04469725,0.0006813791],"study_design_scores_gemma":[0.001063774,0.00142454,0.01347571,0.0001924405,0.00001245297,0.000001226219,0.845458,0.0001072688,1.112564e-7,0.00005195321,0.1381078,0.0001047446],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9476957,0.0002447113,0.0004702471,0.04213401,0.0009324644,0.007530488,0.0001125384,0.0001696515,0.0007102169],"genre_scores_gemma":[0.9868173,0.00003874917,0.00002580391,0.003054557,0.00009535021,0.001861998,0.00002527371,0.00002958709,0.0080514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1014778,"threshold_uncertainty_score":0.9736902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2176563940152677,"score_gpt":0.51944120405811,"score_spread":0.3017848100428423,"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."}}