{"id":"W4412647584","doi":"10.1155/ipid/8854646","title":"The COVID‐19 Pandemic Economic Implications in Iran: A National Survey Assessing Catastrophic Health Expenditures","year":2025,"lang":"en","type":"article","venue":"Interdisciplinary Perspectives on Infectious Diseases","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Institute for Medical Research Development","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Coping (psychology); Environmental health; Logistic regression; Medicine; Household income; Health care; Socioeconomics; Demography; Business; Geography; Economic growth; Economics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001197564,0.0002341399,0.0004438854,0.0006073521,0.001200464,0.0002517063,0.0003230596,0.00009678567,0.0000502315],"category_scores_gemma":[0.0003296056,0.0001902348,0.0001810461,0.0002819771,0.0002104239,0.0002644105,0.0002019941,0.0003225513,0.0001037538],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004478134,"about_ca_system_score_gemma":0.0006349569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004640575,"about_ca_topic_score_gemma":0.009356146,"domain_scores_codex":[0.9977594,0.0002061951,0.0008601919,0.00068588,0.00005915003,0.0004291848],"domain_scores_gemma":[0.998512,0.0003963198,0.0004060957,0.0004171141,0.00004232425,0.0002261527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005261331,0.0002576387,0.8681092,0.0000485044,0.00008233781,0.000001803739,0.00173295,0.001096811,6.243575e-7,0.1250992,0.002487781,0.001030541],"study_design_scores_gemma":[0.0005380943,0.0001154478,0.9088089,0.00005034076,0.000001463833,0.00001876422,0.003626877,0.0001319724,1.39109e-7,0.08452804,0.001996966,0.0001830367],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.938548,0.01236928,0.002010027,0.01632873,0.001649449,0.001280596,0.00294356,0.0002503881,0.02461994],"genre_scores_gemma":[0.997956,0.0005410405,0.000005247071,0.0005732746,0.0001687809,0.000300741,0.0001015803,0.0000221955,0.0003311838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05940793,"threshold_uncertainty_score":0.9993435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08141507522433435,"score_gpt":0.3980913169722484,"score_spread":0.3166762417479141,"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."}}