{"id":"W3019082788","doi":"10.1158/1055-9965.epi-20-0190","title":"Modeling the Balance of Benefits and Harms of Cervical Cancer Screening with Cytology and Human Papillomavirus Testing","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre hospitalier universitaire de Québec; McGill University; The Society of Obstetricians and Gynaecologists of Canada; Jewish General Hospital; Université de Montréal; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Colposcopy; Cytology; Human papillomavirus; Cervical screening; Gynecology; Cervical cancer; Demography; Cancer; Internal medicine; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.001992627,0.0009832404,0.0006706751,0.0009275626,0.0006841599,0.001436208,0.002102534,0.001851036,0.005221349],"category_scores_gemma":[0.007113106,0.0006730696,0.001330552,0.0009732855,0.001067462,0.0007939647,0.0008049698,0.001182263,0.0001957109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01777169,"about_ca_system_score_gemma":0.01366873,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6967733,"about_ca_topic_score_gemma":0.6106353,"domain_scores_codex":[0.9991106,0.0003335037,0.00002451294,0.0001425648,0.0001029842,0.0002857591],"domain_scores_gemma":[0.9970688,0.001974477,0.000335765,0.00006490896,0.0003344238,0.0002215133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000129189,0.00004234866,0.007838561,0.00004751331,0.00008302488,0.00005626124,0.00004204183,0.9826614,0.0001830402,0.006132219,0.0004942043,0.002290174],"study_design_scores_gemma":[0.0001150328,0.00009682419,0.005956431,0.00003902857,0.0001560449,0.00005551429,0.00007766306,0.9848816,0.000141467,0.007262109,0.001193321,0.00002499158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9002265,0.001424857,0.05566482,0.00464926,0.00009652549,0.0004768814,0.007463395,0.0001823446,0.02981542],"genre_scores_gemma":[0.9865997,0.0004003467,0.006507867,0.0002012087,0.00001582087,0.0001249684,0.0008718555,0.00001534626,0.005262936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6967733,"threshold_uncertainty_score":0.6100249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2046012426352518,"score_gpt":0.4110860109163959,"score_spread":0.2064847682811441,"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."}}