{"id":"W3208736927","doi":"10.2139/ssrn.3788088","title":"National Trends in the Public's Likelihood of Getting a COVID-19 Vaccine in Bangladesh: Understanding the Strategies to Optimize Vaccination Coverage","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Research Foundation; Hypertension Canada","funders":"","keywords":"Medicine; Vaccination; Coronavirus disease 2019 (COVID-19); Confidence interval; Environmental health; Public health; Health care; Pandemic; Cross-sectional study; Demography; Family medicine; Disease; Nursing; Immunology; Economic growth; 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":[0.0006420234,0.0001136066,0.0001649282,0.0005962634,0.0004238908,0.000573006,0.0003730102,0.0006407046,0.006509346],"category_scores_gemma":[0.003174197,0.0001809265,0.0003477237,0.001407956,0.0003332022,0.001031894,0.0006429529,0.0009459318,0.0007357835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001958855,"about_ca_system_score_gemma":0.001671348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1972013,"about_ca_topic_score_gemma":0.2386962,"domain_scores_codex":[0.9995933,0.00007738414,0.00005987343,0.00004780355,0.00005091516,0.0001708564],"domain_scores_gemma":[0.9985316,0.0002372133,0.0006038322,0.00004159625,0.0003038855,0.0002818813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007457395,0.00004266703,0.9908507,0.00007937675,0.00002897444,0.00006480444,0.0009619556,0.000167027,0.0001350656,0.0003274299,0.001970506,0.005296868],"study_design_scores_gemma":[0.000002668172,0.00004157959,0.9952041,0.00005730507,0.00001407424,0.00003950712,0.00311861,0.0001991917,0.00003844702,0.00009936941,0.00117903,0.000006190034],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713788,0.0009241267,0.0001057221,0.007623959,0.00002997059,0.00002300916,0.009879123,0.00001456749,0.01002069],"genre_scores_gemma":[0.997236,0.0006237671,0.00004888346,0.0002306343,0.000008667997,0.0000151096,0.0009671825,0.000002106314,0.0008676442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1972013,"threshold_uncertainty_score":0.3921069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04593234846732044,"score_gpt":0.3380043751011632,"score_spread":0.2920720266338427,"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."}}