{"id":"W4416765245","doi":"10.3390/covid5120195","title":"The Class Gap in Pandemic Attitudes and Experiences","year":2025,"lang":"en","type":"article","venue":"COVID","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Government of Canada","keywords":"Pandemic; Opposition (politics); Government (linguistics); Coronavirus disease 2019 (COVID-19); Social distance; World class; Social class; Public health","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001554969,0.0001597562,0.0003149874,0.00127836,0.001725328,0.002547394,0.0004576994,0.0005117135,0.008396926],"category_scores_gemma":[0.006065735,0.0002205763,0.0002696066,0.0008059019,0.001260776,0.002415983,0.00356133,0.001005086,0.0005580218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001072114,"about_ca_system_score_gemma":0.000695048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009501331,"about_ca_topic_score_gemma":0.009775204,"domain_scores_codex":[0.9985235,0.0003326419,0.00009289933,0.0001794908,0.0002666281,0.0006048705],"domain_scores_gemma":[0.997089,0.001101183,0.0006068596,0.000135981,0.000335824,0.0007311905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003578198,0.0004101391,0.5226228,0.0001659092,0.00006515207,0.0005795422,0.420455,0.00007240303,0.001328265,0.00348849,0.002424724,0.04802968],"study_design_scores_gemma":[0.00001079364,0.000138061,0.627561,0.0001362168,0.00000900182,0.0002413254,0.3632377,0.00012759,0.0001623181,0.0007531403,0.007592453,0.00003041333],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928068,0.0001717827,0.00006767332,0.0005738534,0.00003288113,0.00001417836,0.0001373987,0.000003266187,0.006192099],"genre_scores_gemma":[0.9988148,0.0001336192,0.0000205489,0.00009520099,0.00001205202,0.00001112703,0.00007480504,0.000002962225,0.0008349202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009501331,"threshold_uncertainty_score":0.02809054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03453005431295252,"score_gpt":0.3628778996422488,"score_spread":0.3283478453292963,"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."}}