{"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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006226359,0.0004393072,0.002832537,0.0001754291,0.0009180393,0.0006109103,0.0009267313,0.0003125923,0.002674056],"category_scores_gemma":[0.001049947,0.0002187095,0.0005959221,0.001145424,0.0002589502,0.0001601894,0.0003996763,0.002967185,0.0000381599],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001442131,"about_ca_system_score_gemma":0.01281161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008142343,"about_ca_topic_score_gemma":0.0003311603,"domain_scores_codex":[0.9940971,0.001863465,0.0009134468,0.0006603511,0.0009673318,0.001498308],"domain_scores_gemma":[0.9954057,0.001545537,0.0003618131,0.001468387,0.0001791015,0.001039457],"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":[0.00004174702,0.00003576887,0.00008700334,0.0343809,0.0002488577,0.00004154549,0.0003288078,0.000009905934,3.216703e-8,0.0007295243,0.007128518,0.9569674],"study_design_scores_gemma":[0.0006631878,0.00008434866,0.0003712451,0.001749623,0.0001121927,0.0009322624,0.0005458192,0.00002110157,1.339987e-8,0.00006800665,0.9952433,0.0002089352],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001183533,0.9271229,0.0009167906,0.06353541,0.0001807944,0.001188453,0.00008158839,0.0001893188,0.006772935],"genre_scores_gemma":[0.00007433547,0.9803886,0.000220562,0.01435105,0.00361149,0.0001651912,0.0002715616,0.00008131123,0.000835903],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9881148,"threshold_uncertainty_score":0.999333,"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."}}