{"id":"W4206278735","doi":"10.2196/36572","title":"The Immunization Data Quality Assessment, Sana’a Capital, 2021","year":2022,"lang":"en","type":"article","venue":"Iproceedings","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Measles; Immunization; Rubella; Environmental health; Data quality; Family medicine; Immunology; Vaccination; Business","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":[0.02599279,0.0007026577,0.0003814762,0.003724804,0.000770153,0.00286538,0.001027246,0.0007480707,0.004199216],"category_scores_gemma":[0.03424186,0.0003326373,0.000478404,0.004851877,0.0008078734,0.001528388,0.002614516,0.001179198,0.0009182912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00890344,"about_ca_system_score_gemma":0.02041266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06324429,"about_ca_topic_score_gemma":0.038415,"domain_scores_codex":[0.9901742,0.004377315,0.00123494,0.0006965717,0.002993199,0.0005238744],"domain_scores_gemma":[0.9604402,0.007302129,0.007331127,0.002429703,0.01775656,0.004740374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006757494,0.0003387063,0.5075372,0.001482989,0.0002398045,0.0001445158,0.0009211949,0.002809968,0.000754889,0.006378047,0.1848285,0.2938884],"study_design_scores_gemma":[0.0002051984,0.0005833039,0.8291509,0.002239196,0.0001717924,0.000223701,0.001661451,0.009870806,0.001206305,0.003399325,0.1512228,0.00006531519],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3447236,0.03229111,0.02847404,0.2297855,0.002691807,0.00592891,0.2493229,0.002399042,0.1043831],"genre_scores_gemma":[0.7782143,0.01048849,0.06129041,0.01167222,0.0006109895,0.00560718,0.1189166,0.0001983766,0.01300153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06324429,"threshold_uncertainty_score":0.1374647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08396913147496343,"score_gpt":0.3932735589681864,"score_spread":0.309304427493223,"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."}}