{"id":"W2975300263","doi":"10.1101/19004358","title":"Estimating the health impact of vaccination against 10 pathogens in 98 low and middle income countries from 2000 to 2030","year":2019,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"GAVI Alliance; Medical Research Council; Department for International Development; Bill and Melinda Gates Foundation","keywords":"Vaccination; Measles; Medicine; Environmental health; Rubella; Demography; Disease burden; Hepatitis A; Cohort; Immunization; Immunology; Population; Hepatitis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001441477,0.0001726278,0.0004274505,0.0001336085,0.0002004485,0.0001019453,0.0003452993,0.0001532814,0.0003001918],"category_scores_gemma":[0.000484239,0.0001325331,0.00008868872,0.0002225925,0.00001342645,0.0001166408,0.0002172266,0.0002696331,0.00003366279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004005382,"about_ca_system_score_gemma":0.001027215,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01300183,"about_ca_topic_score_gemma":0.009878272,"domain_scores_codex":[0.9983085,0.0003158048,0.0004273145,0.0003244739,0.0003219228,0.0003020314],"domain_scores_gemma":[0.9987595,0.0003176934,0.0003466331,0.0003487679,0.0001251573,0.0001022197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003017961,0.00002758571,0.959309,0.0002157235,0.0000267026,0.000003613903,0.03422192,0.003743798,0.00001879824,0.00005140367,0.0003300144,0.002021284],"study_design_scores_gemma":[0.0002144484,0.00005997669,0.9953661,0.000836939,0.000009443219,1.188414e-7,0.0004637571,0.001601471,0.00001769973,0.001025424,0.0002455407,0.0001590578],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938176,0.001510367,0.0001294477,0.002641418,0.0003012549,0.0006803259,0.000138866,0.00002202304,0.0007586547],"genre_scores_gemma":[0.9983611,0.0003927867,0.0005088307,0.0002092174,0.0002310539,0.00001929259,0.00002403535,0.00001483733,0.0002388937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03605715,"threshold_uncertainty_score":0.9935707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02465901060406619,"score_gpt":0.3223824554229167,"score_spread":0.2977234448188505,"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."}}