{"id":"W4291284394","doi":"","title":"The Effect of the COVID-19 Pandemic on the Elderly: Population Fatality Rates, COVID Mortality Percentage, and Life Expectancy Loss.","year":2022,"lang":"en","type":"article","venue":"PubMed","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Pandemic; Life expectancy; Demography; Coronavirus disease 2019 (COVID-19); Case fatality rate; Medicine; Population; Ethnic group; Gerontology; Mortality rate; Environmental health; 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":[0.001538296,0.0002617565,0.0001721485,0.001163861,0.0002233655,0.0006652229,0.0002417705,0.0003385122,0.001595845],"category_scores_gemma":[0.005352712,0.0001063444,0.0005023238,0.0009981836,0.0003017667,0.000885472,0.0009084771,0.0007490516,0.0002927902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004701389,"about_ca_system_score_gemma":0.0003629126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01204314,"about_ca_topic_score_gemma":0.0213959,"domain_scores_codex":[0.999325,0.0002345539,0.00006321335,0.0001122209,0.0001575684,0.0001073208],"domain_scores_gemma":[0.9959499,0.000747102,0.002329966,0.0002007132,0.0004014881,0.0003707732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007433988,0.00001799756,0.9898812,0.00003326442,0.0001198605,0.00004552426,0.0001955524,0.0003193858,0.000142531,0.0002377592,0.001062469,0.007869979],"study_design_scores_gemma":[0.000001099947,0.0000549779,0.9979139,0.00002039178,0.0000299734,0.000105267,0.0003005758,0.0002568121,0.00009368999,0.0001224908,0.001094314,0.000006378853],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783239,0.004438313,0.0007061179,0.001562512,0.00008774874,0.00002078229,0.008510924,0.00002646425,0.006323349],"genre_scores_gemma":[0.9959068,0.0008855374,0.0002662283,0.0002597313,0.00006852322,0.00001448967,0.002139322,0.000005198384,0.0004540981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01204314,"threshold_uncertainty_score":0.02394611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1088866355472575,"score_gpt":0.3088508139330584,"score_spread":0.1999641783858008,"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."}}