{"id":"W4398786492","doi":"10.17994/2023.21.3.74.3","title":"Exploring Regional Integration Resilience in the Context of COVID-19","year":2024,"lang":"en","type":"article","venue":"International Trends / Mezhdunarodnye protsessy","topic":"Regional resilience and development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Resilience (materials science); Context (archaeology); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pandemic; Geography; Virology; Medicine; Outbreak; Archaeology; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00153178,0.0003558273,0.0003803899,0.0007966727,0.0004238823,0.002036347,0.000541712,0.0006580317,0.003049268],"category_scores_gemma":[0.005930201,0.000153299,0.0007044889,0.00109887,0.0009948583,0.00156481,0.001821311,0.001113331,0.0002185421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001045619,"about_ca_system_score_gemma":0.001048508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02530242,"about_ca_topic_score_gemma":0.01795862,"domain_scores_codex":[0.9994493,0.0002098021,0.00002287503,0.0001093829,0.00004743466,0.0001612072],"domain_scores_gemma":[0.9980671,0.0008479419,0.0005678747,0.0001228878,0.0001995354,0.0001946981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000330582,0.0002223535,0.6308987,0.0002161985,0.0005146188,0.001937089,0.0023609,0.3009869,0.001950476,0.03588932,0.002330432,0.02236238],"study_design_scores_gemma":[0.00003632273,0.0003424395,0.4957533,0.0002226646,0.0003632264,0.000312743,0.01231525,0.4569106,0.001298096,0.02363682,0.008700722,0.0001079207],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893478,0.0003375951,0.00475882,0.0007783785,0.00002776445,0.00001791917,0.0003222891,0.00003629302,0.004373253],"genre_scores_gemma":[0.9989188,0.000106604,0.0005012236,0.00002781637,0.000008940181,0.000007422068,0.0001327529,0.000007047905,0.000289482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02530242,"threshold_uncertainty_score":0.05031025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2477274599045499,"score_gpt":0.3419917416367032,"score_spread":0.0942642817321532,"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."}}