{"id":"W2117849129","doi":"10.1158/1055-9965.epi-14-1052","title":"Changing Inequalities in Cervical Cancer: Modeling the Impact of Vaccine Uptake, Vaccine Herd Effects, and Cervical Cancer Screening in the Post-Vaccination Era","year":2014,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; The Quebec Population Health Research Network","funders":"Canadian Institutes of Health Research","keywords":"Vaccination; Cervical cancer; Medicine; Herd; Cancer; Herd immunity; Immunology; Internal medicine; Veterinary medicine","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":[0.001582525,0.0006586384,0.0007550223,0.000781575,0.0005715793,0.001147612,0.001614069,0.001948112,0.004396791],"category_scores_gemma":[0.005482518,0.000479903,0.001664851,0.0008706852,0.0007025298,0.001174681,0.001038513,0.00113341,0.0002376147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002944817,"about_ca_system_score_gemma":0.002354618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1008005,"about_ca_topic_score_gemma":0.04947158,"domain_scores_codex":[0.9994444,0.0002580942,0.00001615991,0.0000820194,0.00003321717,0.0001659847],"domain_scores_gemma":[0.9976485,0.001624233,0.0003096334,0.00007641215,0.0001545779,0.0001865054],"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":[0.00009115272,0.0001205283,0.02185526,0.00002711216,0.00009013673,0.00008607521,0.00009081302,0.9709147,0.0002506118,0.003707362,0.0002944245,0.002471932],"study_design_scores_gemma":[0.00003586128,0.0001036808,0.004061232,0.00001545804,0.00005605206,0.00001795298,0.00007245821,0.9931143,0.0000523034,0.002162961,0.0002977554,0.00001004046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9632266,0.0004219765,0.0262171,0.001516279,0.00005639536,0.0001278977,0.001252979,0.00006957843,0.007111258],"genre_scores_gemma":[0.991367,0.0002830118,0.004307532,0.0001502354,0.00002481068,0.0001246311,0.0003487592,0.00001800406,0.003375946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1008005,"threshold_uncertainty_score":0.2004276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06695592056611466,"score_gpt":0.4129593228333158,"score_spread":0.3460034022672011,"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."}}