{"id":"W4408741679","doi":"10.1101/2025.03.19.25324262","title":"Predicting the epidemiological effects in the United Kingdom of moving from PCV13 to PCV15 in the routine pediatric 1+1 vaccination schedule","year":2025,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Animal Virus Infections Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Merck Canada Inc. (Canada)","funders":"","keywords":"Epidemiology; Vaccination; Schedule; Kingdom; Medicine; Vaccination schedule; Environmental health; Pediatrics; Computer science; Virology; Immunology; Immunization; Pathology; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.003230285,0.0007237442,0.0005686442,0.0005798208,0.0002803585,0.001336075,0.0009651005,0.001419245,0.002101536],"category_scores_gemma":[0.01079168,0.0008577871,0.001643996,0.0006455407,0.0005731532,0.0008752659,0.001062129,0.001155387,0.0002736736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004714797,"about_ca_system_score_gemma":0.001616722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1905397,"about_ca_topic_score_gemma":0.07480542,"domain_scores_codex":[0.9981228,0.00105519,0.0001112111,0.0003346825,0.00009846894,0.0002775547],"domain_scores_gemma":[0.9925165,0.005515457,0.0009047281,0.0002445329,0.0005617379,0.0002570079],"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":[0.0003642476,0.00006381661,0.03717155,0.00005230592,0.0001383032,0.000154492,0.00003442146,0.9591602,0.0002576636,0.0005612224,0.0004535584,0.001588183],"study_design_scores_gemma":[0.0001531747,0.0007252468,0.04800215,0.00004524002,0.0001163398,0.0001112989,0.0001553527,0.94892,0.0003204554,0.0007965335,0.0006141718,0.00004003284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992978,0.0002818477,0.002399864,0.000415235,0.00002232872,0.00007512249,0.002613002,0.00003204826,0.001182499],"genre_scores_gemma":[0.996662,0.000152166,0.001037593,0.00007536526,0.000003146632,0.00003370996,0.001439658,0.000004534512,0.0005918718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1905397,"threshold_uncertainty_score":0.3788613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06581323664915004,"score_gpt":0.3035779403503546,"score_spread":0.2377647037012046,"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."}}