{"id":"W3158389552","doi":"10.1016/s2468-2667(21)00078-5","title":"Cervical screening during the COVID-19 pandemic: optimising recovery strategies","year":2021,"lang":"en","type":"review","venue":"The Lancet Public Health","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Centre for Applied Research in Cancer Control; Simon Fraser University","funders":"Medical Research Council; National Health and Medical Research Council; National Cancer Center; Public Health England; Cancer Institute NSW; National Cancer Institute; National Institutes of Health; Cancer Research UK; National Cancer Center Japan; Kreftforeningen","keywords":"Pandemic; Medicine; Coronavirus disease 2019 (COVID-19); Cervical cancer; Cancer screening; Cervical cancer screening; Risk stratification; Cervical screening; Medical emergency; Risk analysis (engineering); Cancer; Disease; Pathology; Infectious disease (medical specialty)","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":[0.003941681,0.001064498,0.001994985,0.002174683,0.0002928173,0.001933603,0.001962045,0.002963509,0.007118618],"category_scores_gemma":[0.009687777,0.0004417954,0.002108705,0.001416944,0.0005598614,0.002106779,0.001457932,0.002295014,0.001492083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001975989,"about_ca_system_score_gemma":0.0053335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006690686,"about_ca_topic_score_gemma":0.009288908,"domain_scores_codex":[0.9986046,0.0007309629,0.0001655941,0.0001112278,0.0002366614,0.0001509547],"domain_scores_gemma":[0.9971725,0.001985787,0.0003242738,0.00005484586,0.0003447547,0.000117875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002224764,0.00007597634,0.0003832853,0.09071776,0.0007009894,0.0001530847,0.0002921676,0.00179118,0.0002745564,0.009109305,0.02477054,0.8715087],"study_design_scores_gemma":[0.0002493932,0.000314175,0.002663885,0.2069628,0.001772317,0.0007364135,0.0008245423,0.0008211354,0.0004129668,0.009327249,0.7758508,0.00006428888],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001669367,0.9965205,0.0001666857,0.001979224,0.0001817264,0.00002439322,0.0000359687,0.000008906886,0.0009156898],"genre_scores_gemma":[0.003236121,0.995029,0.0005574154,0.0006560123,0.0001299083,0.00004274426,0.00005207588,0.000004132102,0.0002926259],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007118618,"threshold_uncertainty_score":0.02381414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5210052672176325,"score_gpt":0.5207018433997925,"score_spread":0.0003034238178399873,"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."}}