{"id":"W4413257358","doi":"10.2196/69827","title":"Willingness to Pay for the COVID-19 Vaccine and Its Correlates in Bangladesh: Cross-Sectional Study","year":2025,"lang":"en","type":"article","venue":"JMIRx Med","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Cross-sectional study; Logistic regression; Vaccination; Regret; Odds ratio; Medicine; Coronavirus disease 2019 (COVID-19); Demography; Population; Odds; Environmental health; Immunology; Economics; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001044026,0.00008081551,0.0001326117,0.00007444362,0.0006466873,0.0001221806,0.0001993151,0.00006860479,0.0001101917],"category_scores_gemma":[0.0014708,0.00005321975,0.00002914568,0.0004421332,0.000006719075,0.0001111052,0.0000506749,0.0001077042,0.000007963989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001040371,"about_ca_system_score_gemma":0.0002143217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000588706,"about_ca_topic_score_gemma":0.01082836,"domain_scores_codex":[0.9991049,0.00008488197,0.0002041902,0.0002292336,0.0001644578,0.0002123687],"domain_scores_gemma":[0.9986266,0.001033077,0.0000376301,0.000104954,0.0001053422,0.00009243484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001170065,0.00008074838,0.9817138,0.00001552594,0.00001826987,0.000003156374,0.006626453,0.00008862965,0.00002017307,0.003854361,0.007135072,0.0003267437],"study_design_scores_gemma":[0.001209268,0.00006906319,0.8930013,0.000007178561,0.00001196854,3.414894e-7,0.001524115,0.0000959591,0.00001096834,0.001549063,0.1024415,0.00007930281],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648176,0.000461095,0.0004560585,0.03143052,0.0006348803,0.001701792,0.000008703002,0.00004187139,0.0004474556],"genre_scores_gemma":[0.9830305,0.00003748803,0.00001066903,0.001729458,0.0001757995,0.0002876519,0.000002187721,0.000005426039,0.01472084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0953064,"threshold_uncertainty_score":0.6042479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04122129552141002,"score_gpt":0.3902709409827864,"score_spread":0.3490496454613763,"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."}}