{"id":"W4406945284","doi":"10.1093/ofid/ofae631.825","title":"P-627. Modeling the Clinical and Economic Impact of Increasing Varicella Vaccination Coverage in Panama","year":2025,"lang":"en","type":"article","venue":"Open Forum Infectious Diseases","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Merck Canada Inc. (Canada)","funders":"","keywords":"Medicine; Panama; Vaccination; Chickenpox Vaccine; Virology; Pediatrics; Varicella vaccine; Immunology; Immunization; Immune system; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008454936,0.0008637073,0.0005179867,0.0007491858,0.0003271564,0.001294927,0.0008140233,0.001436829,0.01326118],"category_scores_gemma":[0.002609306,0.00060162,0.0009532787,0.0008684844,0.0005499317,0.00098117,0.0006639475,0.000816244,0.0004227232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001935031,"about_ca_system_score_gemma":0.001338716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04827617,"about_ca_topic_score_gemma":0.02164908,"domain_scores_codex":[0.9996996,0.0001449461,0.000009352976,0.00006304074,0.00001676507,0.00006633053],"domain_scores_gemma":[0.9991018,0.000589353,0.0001310887,0.00002142937,0.00009319359,0.00006320086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008436665,0.00004979859,0.005977176,0.00004183767,0.0000577476,0.0001508415,0.0000290137,0.9856156,0.0001785562,0.003823323,0.0006649555,0.003326697],"study_design_scores_gemma":[0.00004656989,0.0001188052,0.001892747,0.00002001802,0.00003695907,0.00004325266,0.00004281157,0.9936635,0.00006280586,0.002855821,0.001209337,0.000007363888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9171755,0.001663117,0.03981593,0.002493451,0.0001043668,0.0002537542,0.006461423,0.0002206745,0.03181168],"genre_scores_gemma":[0.9867107,0.0004090566,0.005579532,0.00008436258,0.00002358846,0.0001369999,0.0008802015,0.00002383685,0.006151701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04827617,"threshold_uncertainty_score":0.0959903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02149026343776593,"score_gpt":0.3745189724912339,"score_spread":0.3530287090534679,"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."}}