{"id":"W4385892566","doi":"10.4178/epih.e2023072","title":"Did the socioeconomic inequalities in avoidable and unavoidable mortality worsen during the first year of the COVID-19 pandemic in Korea?","year":2023,"lang":"en","type":"article","venue":"Epidemiology and Health","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"National Medical Center","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Socioeconomic status; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Inequality; Betacoronavirus; Pediatrics; Intensive care medicine; Environmental health; Virology; Outbreak; Internal medicine; Population; Disease; Infectious disease (medical specialty)","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":[0.0005814448,0.0002272695,0.0002338364,0.0005818016,0.0003321641,0.0007288668,0.0003887062,0.000520397,0.001801976],"category_scores_gemma":[0.001533659,0.0002113632,0.0006214675,0.0007916047,0.0003112007,0.001290766,0.0007694722,0.0009751274,0.000179248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007442978,"about_ca_system_score_gemma":0.0008200301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02677389,"about_ca_topic_score_gemma":0.05054379,"domain_scores_codex":[0.9996294,0.0000494153,0.00003356846,0.00009901998,0.00002530181,0.0001633091],"domain_scores_gemma":[0.9993572,0.00003934487,0.0003340234,0.0000294295,0.00008555922,0.0001544542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007254589,0.00003232876,0.9945132,0.00003093249,0.00009636539,0.0001143257,0.0004502902,0.00009797913,0.0001340492,0.0002577158,0.0004498629,0.003750424],"study_design_scores_gemma":[0.000001695449,0.00001831213,0.9984608,0.0000185446,0.00001552687,0.00003675374,0.0007679971,0.0001691136,0.00002663152,0.00009520838,0.0003838894,0.000005712573],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959452,0.0008001704,0.0001143222,0.001112991,0.00004865221,0.000008476857,0.001113598,0.000002977255,0.0008536539],"genre_scores_gemma":[0.999046,0.0001896208,0.00004070583,0.0001199283,0.00001998095,0.000004881967,0.0004281216,0.000001541604,0.0001491325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02677389,"threshold_uncertainty_score":0.05323613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2479026788552914,"score_gpt":0.4579508327104068,"score_spread":0.2100481538551154,"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."}}