{"id":"W4379645016","doi":"10.1136/bmjgh-2022-011646","title":"Incorporating resilience when assessing pandemic risk in the Arctic: a case study of Alaska","year":2023,"lang":"en","type":"review","venue":"BMJ Global Health","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Office of Polar Programs","keywords":"Vulnerability (computing); Pandemic; Geography; Community resilience; Resilience (materials science); Public health; Vulnerability assessment; Psychological resilience; Hazard; Environmental resource management; Socioeconomics; Environmental health; Environmental planning; Coronavirus disease 2019 (COVID-19); Sociology; Psychology; Resource (disambiguation); Medicine; Infectious disease (medical specialty); Computer security; Social psychology; Economics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005088993,0.0006390842,0.0005064657,0.001371391,0.01071875,0.003278516,0.001037496,0.001958844,0.001649587],"category_scores_gemma":[0.005663232,0.0002914048,0.0006944858,0.001610869,0.00280783,0.001905548,0.003532264,0.001763394,0.0001832156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00556019,"about_ca_system_score_gemma":0.005846725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1485099,"about_ca_topic_score_gemma":0.3130913,"domain_scores_codex":[0.9978036,0.001495695,0.000088311,0.0001039241,0.0002001574,0.0003083224],"domain_scores_gemma":[0.9977324,0.00120607,0.0001964514,0.0001085849,0.0003080121,0.000448424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003225935,0.0009299801,0.1875512,0.0006034375,0.0001425064,0.09131794,0.643539,0.01121147,0.001482634,0.01377741,0.002719992,0.04640184],"study_design_scores_gemma":[0.000008285664,0.0002411841,0.02931192,0.0003478935,0.00006195519,0.004288361,0.9481212,0.002427239,0.0004474506,0.003791918,0.01088013,0.00007241231],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9855291,0.0005240145,0.001104228,0.001397124,0.00006233627,0.00008395297,0.00005307361,0.000008565678,0.01123752],"genre_scores_gemma":[0.9936885,0.001372624,0.002621575,0.0002243426,0.00002328421,0.00004898348,0.00003273444,0.00001010207,0.001977887],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.1485099,"threshold_uncertainty_score":0.2952909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1707670957478555,"score_gpt":0.5235806857399636,"score_spread":0.3528135899921082,"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."}}