{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1152765,0.003713735,0.003979116,0.004396538,0.0102136,0.006213297,0.007101618,0.0103324,0.05198563],"category_scores_gemma":[0.09163085,0.003335715,0.004973745,0.003997638,0.00616389,0.007322303,0.0075768,0.01006917,0.01071771],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01975956,"about_ca_system_score_gemma":0.07248826,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01695808,"about_ca_topic_score_gemma":0.02917079,"domain_scores_codex":[0.9385373,0.04125142,0.008023501,0.003186717,0.004044131,0.00495691],"domain_scores_gemma":[0.9346151,0.02018229,0.006330559,0.008267104,0.02456219,0.006042724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.03546409,0.02812023,0.009620983,0.07795178,0.0007357182,0.01119444,0.1658878,0.01201165,0.009989624,0.103694,0.2674965,0.2778333],"study_design_scores_gemma":[0.03481626,0.01114144,0.01251461,0.0514537,0.0004017124,0.001309136,0.1115369,0.004013634,0.006597376,0.03559989,0.7297583,0.0008569796],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.001406402,0.0001265642,0.002909783,0.0006802219,0.0001651458,0.9927028,0.0008559718,0.0000257157,0.001127337],"genre_scores_gemma":[0.000959009,0.0001200532,0.003930553,0.0002328733,0.00001591083,0.9943396,0.0001297597,0.000003111648,0.0002690229],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.9830419,"threshold_uncertainty_score":0.6096476,"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."}}