{"id":"W2892401207","doi":"10.18203/2320-1770.ijrcog20184111","title":"Cost effectiveness analysis of cervical cancer screening in women until age 70","year":2018,"lang":"en","type":"article","venue":"International Journal of Reproduction Contraception Obstetrics and Gynecology","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Medicine; Cervical cancer; Cost-effectiveness analysis; Population; Incidence (geometry); Cohort; Cost effectiveness; Cervical screening; Quality-adjusted life year; Gynecology; Cancer; Obstetrics; Demography; Internal medicine; Environmental health","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":[0.006912019,0.001421359,0.001907442,0.00168011,0.0003076659,0.001793698,0.001146715,0.001253473,0.004968511],"category_scores_gemma":[0.02286888,0.0006842646,0.004854212,0.00122042,0.0005511033,0.001203061,0.001073423,0.001747092,0.000198448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007147488,"about_ca_system_score_gemma":0.004266236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02260467,"about_ca_topic_score_gemma":0.00963195,"domain_scores_codex":[0.9961803,0.002893131,0.00009595074,0.000186978,0.0002644373,0.0003792187],"domain_scores_gemma":[0.987312,0.01104732,0.0006766144,0.0002159937,0.0004271857,0.0003209243],"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":[0.007689767,0.0005469061,0.008479259,0.001354566,0.003302209,0.0002545948,0.00005549194,0.959029,0.0003513878,0.004240373,0.0009687972,0.01372772],"study_design_scores_gemma":[0.004104763,0.01320974,0.02734988,0.001599298,0.01231563,0.0006000767,0.0003769317,0.9220133,0.001001488,0.01330791,0.00395987,0.000161039],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9375452,0.0152473,0.01672363,0.003252074,0.0002456922,0.002372837,0.005782573,0.0001225563,0.01870818],"genre_scores_gemma":[0.9942858,0.001723939,0.001965296,0.0001908636,0.00002624746,0.0003273796,0.0006423212,0.000006733806,0.0008315053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02260467,"threshold_uncertainty_score":0.0518589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05077093980784961,"score_gpt":0.3904248558933208,"score_spread":0.3396539160854712,"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."}}