{"id":"W4390670901","doi":"10.3389/fpubh.2023.1324105","title":"Regional geographies and public health lessons of the COVID-19 pandemic in the Arctic","year":2024,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Science Foundation","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Public health; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Geography; Political science; Virology; Medicine; Outbreak; Disease; Infectious disease (medical specialty); Nursing","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":[0.000619016,0.0001636676,0.0001823922,0.001363667,0.0004903808,0.0008121472,0.0002366903,0.000254281,0.001203966],"category_scores_gemma":[0.0013363,0.00009478022,0.0003173042,0.001482487,0.0004240398,0.0005482283,0.0007242527,0.0003735931,0.0001437428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008020159,"about_ca_system_score_gemma":0.001312321,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.115516,"about_ca_topic_score_gemma":0.1514037,"domain_scores_codex":[0.9997954,0.00006711642,0.00001409459,0.00004276264,0.00002898862,0.00005177104],"domain_scores_gemma":[0.9993894,0.00009831072,0.0002380853,0.00003470182,0.0001694356,0.00007013499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001274851,0.00002268224,0.955698,0.0001490093,0.00009210791,0.000564498,0.003355108,0.003148487,0.0008581579,0.001721705,0.002300492,0.0319624],"study_design_scores_gemma":[0.00000183614,0.00003239336,0.9822109,0.0001220206,0.00003695358,0.0001942073,0.01046398,0.001714101,0.0001263828,0.0006091341,0.004473384,0.00001464609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840104,0.002937255,0.001053274,0.001648307,0.00009029647,0.00001608405,0.0018365,0.0000323133,0.00837558],"genre_scores_gemma":[0.9972052,0.00145497,0.0003608305,0.00005552844,0.00003959396,0.000006290034,0.0005337026,0.000005744142,0.0003380899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.884484,"threshold_uncertainty_score":0.2296873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.158161830836956,"score_gpt":0.4198095738218963,"score_spread":0.2616477429849403,"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."}}