{"id":"W4408119365","doi":"10.3390/curroncol32030147","title":"COVID-19 Pandemic Impact on Delays in Diagnosis and Treatment for Cervical Cancer in Montreal, Canada","year":2025,"lang":"en","type":"article","venue":"Current Oncology","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Medicine; Pandemic; Cervical cancer; Referral; Retrospective cohort study; Coronavirus disease 2019 (COVID-19); Stage (stratigraphy); Cohort; Cancer; Pediatrics; Disease; Internal medicine; Family medicine; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0008011792,0.0005439778,0.0005233158,0.00123002,0.003074168,0.001532443,0.001571426,0.0005967031,0.007451123],"category_scores_gemma":[0.003701139,0.0004304801,0.000982701,0.002672169,0.0007092158,0.0006064967,0.00134698,0.001380545,0.0002963473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06397828,"about_ca_system_score_gemma":0.08384796,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9969038,"about_ca_topic_score_gemma":0.9972274,"domain_scores_codex":[0.9985797,0.00009112066,0.00006691868,0.0002114344,0.0002781737,0.0007725853],"domain_scores_gemma":[0.9963024,0.0002023517,0.0008107774,0.00006965984,0.001427023,0.001187792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002548471,0.0000492103,0.978913,0.000167518,0.0001351456,0.0002413483,0.0006714931,0.0003857434,0.0002675065,0.0002849154,0.009137502,0.009491817],"study_design_scores_gemma":[0.00002421807,0.0000585701,0.99339,0.0001875026,0.00006998587,0.0001194497,0.001814018,0.0004621029,0.0000968878,0.00004226676,0.003697976,0.00003714547],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9319199,0.00692434,0.0004149656,0.006668335,0.000274,0.0002901065,0.04168253,0.00009189812,0.01173394],"genre_scores_gemma":[0.9881443,0.002097514,0.0003262467,0.0007777063,0.00006515296,0.00006819797,0.006141161,0.00002749231,0.002352304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06397828,"threshold_uncertainty_score":0.4641971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2234235652958163,"score_gpt":0.5373745460122539,"score_spread":0.3139509807164376,"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."}}