{"id":"W4406706555","doi":"10.1111/1471-0528.18077","title":"Impact of the <scp>COVID</scp> ‐19 Pandemic on Cervical Cancer Screening: An International Comparative Study by <scp>INTRePID</scp>","year":2025,"lang":"en","type":"article","venue":"BJOG An International Journal of Obstetrics & Gynaecology","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Cervical cancer; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Medicine; Cancer; Biology; Internal medicine; Disease; Infectious disease (medical specialty); Outbreak","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":[0.002089371,0.0002113849,0.0003098725,0.001087826,0.000684187,0.001074132,0.0004616446,0.0007393873,0.008890582],"category_scores_gemma":[0.01064982,0.0001947535,0.0007455738,0.001770631,0.0006021707,0.0009962707,0.001767565,0.001240329,0.0004725237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001321061,"about_ca_system_score_gemma":0.002441848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04247,"about_ca_topic_score_gemma":0.0490627,"domain_scores_codex":[0.9982857,0.0007577262,0.0001532698,0.0001378153,0.000186916,0.0004785057],"domain_scores_gemma":[0.9962916,0.001195062,0.001169996,0.0002264609,0.0003877919,0.0007291182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001403909,0.000492268,0.9346089,0.000990811,0.0005992698,0.000438687,0.002995085,0.0002950199,0.0001785569,0.003215779,0.01168864,0.04309303],"study_design_scores_gemma":[0.00006035133,0.0006366351,0.9796054,0.0009630884,0.0003207276,0.0003408541,0.007980101,0.0002445798,0.000106976,0.000372037,0.009337141,0.00003216022],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.953557,0.007698602,0.0002294847,0.004820198,0.0002676071,0.000234834,0.01033975,0.00001342214,0.0228392],"genre_scores_gemma":[0.991877,0.003146788,0.0002079575,0.0007155706,0.00006440406,0.0001026327,0.002616937,0.00001127342,0.001257467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04247,"threshold_uncertainty_score":0.0844456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1026491804209485,"score_gpt":0.4609442191714873,"score_spread":0.3582950387505388,"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."}}