{"id":"W3159121326","doi":"10.1002/jmv.27045","title":"The mystery of plummeting cases of measles during COVID‐19 pandemic in Pakistan: Hidden impact of collateral damage","year":2021,"lang":"en","type":"article","venue":"Journal of Medical Virology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Pharmacy; Medicine; Coronavirus disease 2019 (COVID-19); Pandemic; Family medicine; Library science; Internal medicine","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":[0.00250474,0.0005413851,0.0007734368,0.001454837,0.001410545,0.003739159,0.001180845,0.003894641,0.003647282],"category_scores_gemma":[0.01889577,0.0003846289,0.0006927378,0.0007380357,0.001587942,0.00352553,0.0006942258,0.004765158,0.001053774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001621221,"about_ca_system_score_gemma":0.00272326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002646882,"about_ca_topic_score_gemma":0.004532466,"domain_scores_codex":[0.9983741,0.0004444135,0.0003236496,0.0002677945,0.0003986023,0.0001914604],"domain_scores_gemma":[0.9879727,0.007217072,0.000956638,0.0002183061,0.003005912,0.0006293452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002712361,0.00002805347,0.003391253,0.002587474,0.0000916424,0.001339965,0.001577249,0.00009977226,0.0002989766,0.002966309,0.9189368,0.06841137],"study_design_scores_gemma":[0.00004398482,0.0001845832,0.004104067,0.003873881,0.0001516013,0.002832581,0.001848614,0.0002788487,0.0005749477,0.002844292,0.983194,0.00006871167],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.004915996,0.101708,0.0006148791,0.2179979,0.6682249,0.00004314009,0.0003911812,0.0001240188,0.005979872],"genre_scores_gemma":[0.04091425,0.09458385,0.0003794795,0.05504996,0.802544,0.00003961775,0.0001467395,0.0001036423,0.006238502],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003894641,"threshold_uncertainty_score":0.01324648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2154751064670548,"score_gpt":0.4922874870125372,"score_spread":0.2768123805454824,"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."}}