{"id":"W4383265704","doi":"10.3390/vaccines11071195","title":"Geographic and Socioeconomic Determinants of Full Coverage COVID-19 Vaccination in Peru: Findings from a National Population-Based Study","year":2023,"lang":"en","type":"article","venue":"Vaccines","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vaccination; Socioeconomic status; Demography; Quarter (Canadian coin); Population; Medicine; Educational attainment; Ethnic group; Poverty; Coronavirus disease 2019 (COVID-19); Environmental health; Geography; Gerontology; Immunology; Economic growth; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007534241,0.0001135753,0.0002366282,0.0005138671,0.0002869821,0.00005413741,0.0001492939,0.00008616614,0.0004346319],"category_scores_gemma":[0.0005761215,0.0001216449,0.00005347969,0.0004539211,0.000004163251,0.0002888234,0.00003572214,0.00006916172,0.00002024783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001501708,"about_ca_system_score_gemma":0.0002436703,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.011147,"about_ca_topic_score_gemma":0.06273654,"domain_scores_codex":[0.998768,0.0001447238,0.0003536809,0.0002859799,0.0002489608,0.0001987092],"domain_scores_gemma":[0.9990269,0.000571561,0.0001356716,0.00009996694,0.00008274955,0.00008317418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004827717,0.00007736031,0.9952081,0.00001977887,0.000009495314,0.000005738657,0.003436065,0.0002083832,0.00003362923,0.0002329082,0.0001991277,0.0005210797],"study_design_scores_gemma":[0.001410049,0.00005793879,0.9892108,0.00001091015,0.00001288821,1.785228e-7,0.001628004,0.0008731944,0.000008131367,0.006538981,0.0001219282,0.000127021],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982386,0.00008689578,0.00001278372,0.0009072559,0.0001217162,0.0004241664,0.00004348135,0.00006358766,0.0001014995],"genre_scores_gemma":[0.9994845,0.00007498026,0.0000214397,0.0001529224,0.00009246066,0.00003561158,0.00004603581,0.00001081185,0.00008128082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05158954,"threshold_uncertainty_score":0.9954379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02866480874207808,"score_gpt":0.3339508560446885,"score_spread":0.3052860473026104,"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."}}