{"id":"W4389245545","doi":"10.3390/healthcare11233079","title":"Surviving the Storm: The Impact of COVID-19 on Cervical Cancer Screening in Low- and Middle-Income Countries","year":2023,"lang":"en","type":"article","venue":"Healthcare","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; Women's College Hospital; University of Toronto; Toronto Metropolitan University","funders":"Global Affairs Canada","keywords":"Coronavirus disease 2019 (COVID-19); Low and middle income countries; Cervical cancer; Low income; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Storm; Medicine; Environmental health; Developing country; Geography; Socioeconomics; Virology; Cancer; Economic growth; Internal medicine; Meteorology; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002514852,0.0002451992,0.0002363446,0.0007707595,0.002904973,0.003557558,0.0006093589,0.001347779,0.004120633],"category_scores_gemma":[0.006109781,0.0001381612,0.0004650452,0.001432229,0.002321515,0.001725847,0.004561214,0.001913503,0.0002905822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003971078,"about_ca_system_score_gemma":0.00727472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04151532,"about_ca_topic_score_gemma":0.06022463,"domain_scores_codex":[0.9964803,0.001818535,0.0001099868,0.0001217234,0.0003117383,0.001157721],"domain_scores_gemma":[0.9970068,0.001152281,0.0005776522,0.00009299524,0.0002836045,0.0008866834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004332508,0.0006241924,0.4402501,0.003386997,0.0001956305,0.009460705,0.04984442,0.002136651,0.001506902,0.0713301,0.1305447,0.2902863],"study_design_scores_gemma":[0.00004621418,0.0009444025,0.4680102,0.005406065,0.0002359245,0.004377837,0.1722479,0.001348183,0.001521642,0.02140078,0.3243115,0.0001494503],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4221421,0.04246294,0.0009453532,0.4211555,0.001752786,0.0001516065,0.001379457,0.00007904935,0.109931],"genre_scores_gemma":[0.9397774,0.02650087,0.0007561342,0.0301941,0.0009226631,0.000036707,0.0002399524,0.00001508828,0.001557059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04151532,"threshold_uncertainty_score":0.08254737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1314503071581201,"score_gpt":0.4539256360311149,"score_spread":0.3224753288729948,"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."}}