{"id":"W4407718885","doi":"10.1007/s11482-025-10427-z","title":"Measuring Regional Variations in US Population-Level Health-Related Quality of Life During COVID-19 Using the EQ-5D-5L","year":2025,"lang":"en","type":"article","venue":"Applied Research in Quality of Life","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"EuroQol Research Foundation; University of Southern California","keywords":"Quality of Life Research; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Quality (philosophy); Population; Quality of life (healthcare); Public health; Econometrics; Statistics; Environmental health; Medicine; Virology; Economics; Mathematics; Nursing","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":[0.001070667,0.0002187391,0.0002014793,0.0007302298,0.0002525946,0.0005214832,0.0003224239,0.0002436627,0.001209006],"category_scores_gemma":[0.002721177,0.0001316275,0.0006621176,0.001191243,0.0001438867,0.0004189959,0.0006669692,0.000427212,0.0002150048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005932308,"about_ca_system_score_gemma":0.0002865239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03688662,"about_ca_topic_score_gemma":0.05000019,"domain_scores_codex":[0.9994186,0.0002217983,0.00006953365,0.0001040835,0.00009310239,0.00009287192],"domain_scores_gemma":[0.9988871,0.0001712829,0.0005527154,0.00007826876,0.0002237664,0.00008686777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005326687,0.00003284846,0.9962826,0.00001502438,0.00008410335,0.00001133634,0.0000943165,0.0003143212,0.0002111839,0.00002755281,0.0006069132,0.002266533],"study_design_scores_gemma":[0.000002290339,0.00002452686,0.9992831,0.000004308514,0.00001097043,0.0000140203,0.0001186092,0.0002194389,0.0000594222,0.00001025638,0.0002505323,0.000002461021],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901571,0.0001826451,0.0006029441,0.00008686839,0.00000852474,0.00005260846,0.007946975,0.00001674824,0.0009455833],"genre_scores_gemma":[0.9918993,0.00007252322,0.0006638659,0.00006811296,0.000008402493,0.0001000132,0.006918974,0.000004500349,0.0002644297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03688662,"threshold_uncertainty_score":0.07334387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6430092411661524,"score_gpt":0.5380949870655208,"score_spread":0.1049142541006316,"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."}}