{"id":"W4401870012","doi":"10.1093/heapro/daae094","title":"Developing community resilience in the face of COVID-19: case study from the Estrie region, Canada","year":2024,"lang":"en","type":"article","venue":"Health Promotion International","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de Santé Publique du Québec; Centres Intégré Universitaires de Santé et de Services Sociaux; Centre Hospitalier Universitaire de Sherbrooke; Health and Social Services Centre University Institute of Geriatrics of Sherbrooke; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Université de Sherbrooke","funders":"Medical Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Coronavirus disease 2019 (COVID-19); Resilience (materials science); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Face (sociological concept); Pandemic; Political science; Geography; Sociology; Medicine; Virology; Social science; Outbreak","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":[0.001583281,0.0005503359,0.0005313774,0.001302015,0.02745287,0.003136089,0.003008453,0.002058385,0.002903707],"category_scores_gemma":[0.00368841,0.0004482278,0.0003658688,0.003107166,0.006211324,0.0009812738,0.005768048,0.002488308,0.0001944229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07964559,"about_ca_system_score_gemma":0.0890388,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9867942,"about_ca_topic_score_gemma":0.9964136,"domain_scores_codex":[0.9975534,0.0006623224,0.00004521445,0.0001564795,0.0002786122,0.001303968],"domain_scores_gemma":[0.9975442,0.00063823,0.0001378396,0.00007072662,0.0004855444,0.001123388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000131455,0.0002806852,0.03931884,0.0005992418,0.00003876514,0.03351916,0.8761224,0.001226035,0.001570344,0.01168721,0.008508115,0.0269978],"study_design_scores_gemma":[0.000008857318,0.00004635917,0.01671571,0.0002381656,0.00001279642,0.0008858163,0.9595701,0.0003794109,0.0002010912,0.0003394096,0.02157018,0.00003208062],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753946,0.001236275,0.0007449801,0.003830709,0.00005042884,0.0003764313,0.0002781079,0.00001750341,0.01807089],"genre_scores_gemma":[0.9912952,0.001158363,0.001043526,0.001044158,0.00001082773,0.0001194882,0.0001063627,0.00001480019,0.00520717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07964559,"threshold_uncertainty_score":0.5778719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1548720903231937,"score_gpt":0.4408079582738589,"score_spread":0.2859358679506652,"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."}}