{"id":"W4404033081","doi":"10.1016/j.gaceta.2024.102424","title":"Unequal impact of COVID-19 on excess deaths, life expectancy, and premature mortality in Spanish regions (2020-2021)","year":2024,"lang":"en","type":"article","venue":"Gaceta Sanitaria","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Economic and Social Research Council; National Institute for Health and Care Research; Medical Research Council; Centers for Disease Control and Prevention Foundation; Cancer Research UK; British Heart Foundation; Wellcome Trust; Amgen","keywords":"Coronavirus disease 2019 (COVID-19); Life expectancy; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pandemic; Excess mortality; Betacoronavirus; Demography; MEDLINE; Medicine; Virology; Mortality rate; Environmental health; Biology; Population; Outbreak; Internal medicine; 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":[0.002019376,0.0003435732,0.0004264029,0.0008508482,0.0001427939,0.0009165538,0.0004438721,0.000314861,0.001148351],"category_scores_gemma":[0.00293318,0.000120924,0.0009287503,0.0009054175,0.0001942761,0.0003581839,0.001206245,0.0003751831,0.0002706517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001033698,"about_ca_system_score_gemma":0.0007799218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06692089,"about_ca_topic_score_gemma":0.04059323,"domain_scores_codex":[0.9993925,0.0001651325,0.00004622745,0.0001550471,0.00007309472,0.0001679228],"domain_scores_gemma":[0.9990397,0.0002149219,0.0003074378,0.0000750543,0.0002337245,0.0001291496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002543118,0.0000184881,0.984821,0.0001129215,0.0002687278,0.0001211081,0.0002239861,0.003243037,0.0001996128,0.0005623761,0.001137579,0.009036802],"study_design_scores_gemma":[0.00001298881,0.00004624327,0.9925612,0.00009787974,0.00009350899,0.00007752323,0.0005203726,0.002449501,0.0001183911,0.0002873062,0.003723027,0.0000120909],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825566,0.004060032,0.0008549973,0.0004429242,0.00004431991,0.00001765145,0.00875718,0.00002553025,0.003240696],"genre_scores_gemma":[0.9924917,0.0007374694,0.0004063948,0.00007470707,0.00002725221,0.00002196945,0.005663247,0.00000914355,0.0005681475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06692089,"threshold_uncertainty_score":0.1330627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07390159939616621,"score_gpt":0.4208421301015079,"score_spread":0.3469405307053417,"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."}}