{"id":"W3186602906","doi":"10.1136/bmjgh-2021-006794","title":"Building a multisystemic understanding of societal resilience to the COVID-19 pandemic","year":2021,"lang":"en","type":"review","venue":"BMJ Global Health","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Pandemic; Resilience (materials science); Corporate governance; Psychological resilience; Coronavirus disease 2019 (COVID-19); Public health; Political science; Development economics; Economic growth; Business; Economics; Psychology; Medicine; Social psychology; Disease","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007799244,0.0005640126,0.003984633,0.00006022547,0.0005708866,0.00003186688,0.0009249343,0.0003647523,0.00001863283],"category_scores_gemma":[0.02575478,0.00034573,0.0008956553,0.001244657,0.0002126442,0.00003210104,0.0009089034,0.0005347174,0.00001960384],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0135041,"about_ca_system_score_gemma":0.004256695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001284183,"about_ca_topic_score_gemma":0.001195121,"domain_scores_codex":[0.9928343,0.002404915,0.002276529,0.0009067002,0.0006781666,0.000899381],"domain_scores_gemma":[0.9855053,0.0112336,0.00175519,0.0009072149,0.00007918815,0.0005195078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002189039,0.0001295651,0.0007131839,0.1610378,0.0005425772,0.00004620922,0.0008214181,0.000133483,1.23691e-7,0.3195932,0.1870811,0.3298794],"study_design_scores_gemma":[0.0001932809,0.0001132938,0.000009748229,0.0210254,0.0002576013,0.0002742386,0.0008350238,0.00003711004,8.692894e-9,0.02385114,0.9530001,0.0004031148],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000009969755,0.8975912,0.09443208,0.003526751,0.0003557761,0.003477387,0.0003572915,0.0001402805,0.0001092933],"genre_scores_gemma":[0.0002924377,0.9864876,0.008665562,0.003961509,0.000234427,0.0002734605,0.00001009689,0.00003145117,0.00004347365],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7659189,"threshold_uncertainty_score":0.9998994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6729800452092314,"score_gpt":0.6201594015385538,"score_spread":0.05282064367067763,"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."}}