{"id":"W3126349303","doi":"10.1186/s12961-021-00707-z","title":"Learning from public health and hospital resilience to the SARS-CoV-2 pandemic: protocol for a multiple case study (Brazil, Canada, China, France, Japan, and Mali)","year":2021,"lang":"en","type":"article","venue":"Health Research Policy and Systems","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré de Santé et de Services Sociaux des Laurentides; Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal","funders":"Japan Science and Technology Agency; Agence Nationale de la Recherche","keywords":"Public health; Health services research; Pandemic; Health administration; Global health; Medicine; Focus group; Multidisciplinary approach; Health care; Health policy; Public relations; Environmental health; Political science; Nursing; Business; Coronavirus disease 2019 (COVID-19); Disease; Infectious disease (medical specialty)","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00492006,0.0001839924,0.0005192101,0.000279727,0.002154681,0.0003508981,0.00009701481,0.00007932776,0.000002754862],"category_scores_gemma":[0.00344888,0.0001273454,0.00002895552,0.0008419409,0.0001722674,0.0001178649,0.0002433777,0.000868385,0.000001580064],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004280506,"about_ca_system_score_gemma":0.007429291,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9340362,"about_ca_topic_score_gemma":0.684516,"domain_scores_codex":[0.995052,0.001747845,0.0005373609,0.0006363372,0.0008032864,0.001223207],"domain_scores_gemma":[0.9969536,0.0009312779,0.0001049834,0.0003764554,0.0005376174,0.001096068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004945505,0.0008354128,0.8239864,0.005230646,0.0001755458,0.0008532318,0.03478307,0.00001809319,0.0005419948,0.0004081905,0.05495279,0.07772009],"study_design_scores_gemma":[0.009217551,0.01380458,0.1875514,0.00106105,0.000007370036,0.004311976,0.08826189,0.01401494,0.00005408239,0.00003041287,0.6812698,0.0004149867],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8644424,0.0008862703,0.00009838025,0.04318458,0.0000533481,0.09114654,0.00008531113,0.00002804623,0.00007512428],"genre_scores_gemma":[0.9307756,0.0001293708,0.00003747396,0.001585471,0.0005183174,0.06560969,0.00001128743,0.00002774645,0.00130505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.636435,"threshold_uncertainty_score":0.9991444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2935263039029708,"score_gpt":0.5253724472588944,"score_spread":0.2318461433559236,"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."}}