{"id":"W4400547608","doi":"10.2196/62657","title":"Developing National Information Systems to Monitor COVID-19 Vaccination: A Global Observational Study","year":2024,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Health Organization","keywords":"Preprint; Coronavirus disease 2019 (COVID-19); Observational study; Vaccination; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Environmental health; Virology; Medicine; Outbreak; Computer science; World Wide Web; Infectious disease (medical specialty)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01214745,0.000383839,0.0004799739,0.002135871,0.001064401,0.001521943,0.0005796346,0.0008117418,0.002302573],"category_scores_gemma":[0.0297622,0.0006766214,0.00104057,0.005418326,0.001045063,0.003580721,0.002462001,0.001861163,0.0004377826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001512558,"about_ca_system_score_gemma":0.002535217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01668984,"about_ca_topic_score_gemma":0.01223534,"domain_scores_codex":[0.9940436,0.003180296,0.0009424442,0.0005173142,0.0006423661,0.000673992],"domain_scores_gemma":[0.9673419,0.01163093,0.01336338,0.002377802,0.003156818,0.002129219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000514918,0.0001885314,0.9942585,0.0001020633,0.00005249661,0.00002930318,0.002196428,0.00005883689,0.00002079544,0.00008591067,0.0006189416,0.002336661],"study_design_scores_gemma":[0.00005315722,0.0005152489,0.9837053,0.000271894,0.00008673496,0.000163514,0.01223662,0.0005146922,0.00008141773,0.00009234738,0.002257203,0.00002189365],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947988,0.000494276,0.0003788604,0.0003834222,0.00001078694,0.0002144816,0.002382267,0.000009511532,0.001327641],"genre_scores_gemma":[0.9967609,0.0004041993,0.0005447794,0.0002188913,0.000009686744,0.0002609806,0.001657115,0.000008419329,0.0001349373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01668984,"threshold_uncertainty_score":0.0642426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1341446478126946,"score_gpt":0.426045813094529,"score_spread":0.2919011652818344,"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."}}