{"id":"W3087523322","doi":"10.1016/j.vaccine.2020.09.017","title":"Improving the quality and use of immunization and surveillance data: Summary report of the Working Group of the Strategic Advisory Group of Experts on Immunization","year":2020,"lang":"en","type":"article","venue":"Vaccine","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"Izaak Walton Killam Health Centre; Dalhousie University","funders":"Pan American Health Organization; Centers for Disease Control and Prevention; GAVI Alliance; Universiteit Stellenbosch; UNICEF; World Health Organization; Bill and Melinda Gates Foundation","keywords":"Context (archaeology); Data quality; Immunization; Disease surveillance; Medicine; Psychological intervention; Quality management; Working group; Quality (philosophy); Data management; Public health; Business; Process management; Environmental health; Political science; Computer science; Geography; Nursing; Marketing; Data mining; Immunology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2443448,0.003160886,0.002357961,0.0109928,0.003951693,0.01171564,0.006006911,0.009500002,0.004563906],"category_scores_gemma":[0.1925259,0.001973514,0.003564763,0.009697177,0.002985496,0.008118793,0.0124917,0.0123447,0.003452054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01431831,"about_ca_system_score_gemma":0.1141842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03819101,"about_ca_topic_score_gemma":0.02694817,"domain_scores_codex":[0.8541647,0.05545587,0.02695044,0.005436556,0.04685937,0.01113307],"domain_scores_gemma":[0.6727328,0.08020346,0.02980121,0.008007952,0.1826694,0.02658505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002089394,0.0002319885,0.01015922,0.01677238,0.000452866,0.0002838731,0.007541215,0.00134026,0.002086372,0.005820492,0.7130228,0.2420796],"study_design_scores_gemma":[0.00009310703,0.0001562413,0.01207235,0.02369033,0.0003217871,0.0001375257,0.003265543,0.0005835111,0.001513404,0.003257175,0.9547359,0.0001731337],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.008784035,0.112257,0.01893009,0.7641844,0.03546477,0.009165385,0.01257892,0.0006867552,0.03794868],"genre_scores_gemma":[0.09992537,0.4274489,0.09847041,0.2258797,0.0230725,0.02351778,0.06743387,0.001521819,0.03272969],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2443448,"threshold_uncertainty_score":0.9318574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08034385236043289,"score_gpt":0.2978253452281929,"score_spread":0.21748149286776,"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."}}