{"id":"W3207113945","doi":"10.1007/s42650-021-00051-1","title":"Heterogeneity in Excess Mortality and Its Impact on Loss of Life Expectancy due to COVID-19: Evidence from Mexico","year":2021,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Global Health Care Issues","field":"Health Professions","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Life expectancy; Coronavirus disease 2019 (COVID-19); Excess mortality; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Demography; Expectancy theory; Environmental health; Psychology; Medicine; Population; Virology; Sociology; Social psychology; Internal medicine; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.009712214,0.0003927911,0.001097175,0.002570276,0.002051317,0.00201636,0.001925072,0.00129307,0.004907627],"category_scores_gemma":[0.03188432,0.0004430003,0.002573732,0.005521134,0.00168847,0.0009062807,0.002245939,0.001163335,0.0001277661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004817474,"about_ca_system_score_gemma":0.004277563,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6082431,"about_ca_topic_score_gemma":0.5661882,"domain_scores_codex":[0.9932567,0.003112649,0.0005887935,0.0009402542,0.0008113367,0.001290244],"domain_scores_gemma":[0.9671103,0.01522525,0.009825807,0.003464791,0.002734011,0.001639824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008175574,0.00009981653,0.9897444,0.0001755469,0.002352062,0.000110869,0.0006565691,0.0001925826,0.00003065622,0.0005162765,0.0005776695,0.004726031],"study_design_scores_gemma":[0.00006314913,0.0001125814,0.9952765,0.0002544845,0.001398234,0.00005967203,0.001378062,0.0001574503,0.0000354464,0.0002318719,0.001014146,0.00001841713],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772151,0.01359109,0.0002434412,0.001650304,0.00005130013,0.0000526587,0.002692457,0.000006893545,0.00449688],"genre_scores_gemma":[0.9959018,0.002502723,0.0001129214,0.0002813038,0.00004528014,0.00002400548,0.0007992383,0.000005256585,0.0003275506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6082431,"threshold_uncertainty_score":0.788128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3024712199366574,"score_gpt":0.5633850999781761,"score_spread":0.2609138800415187,"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."}}