{"id":"W2144119531","doi":"10.1158/1055-9965.epi-13-0173","title":"Primary hrHPV DNA Testing in Cervical Cancer Screening: How to Manage Screen-Positive Women? A POBASCAM Trial Substudy","year":2013,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"Vrije Universiteit Amsterdam","keywords":"Medicine; Triage; Cytology; Confidence interval; Cervical intraepithelial neoplasia; Genotyping; Cervical cancer; Population; Gynecology; Clinical endpoint; Internal medicine; Cancer; Obstetrics; Randomized controlled trial; Genotype; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003285999,0.0004429488,0.001306979,0.0005598313,0.0001724906,0.00004142238,0.0003478235,0.0004097782,0.003549598],"category_scores_gemma":[0.001815511,0.0003978029,0.0002915877,0.001305056,0.0002755721,0.0003011248,0.0003149471,0.0006865502,0.00006930732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001793981,"about_ca_system_score_gemma":0.0003698719,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008293903,"about_ca_topic_score_gemma":0.002486056,"domain_scores_codex":[0.9945799,0.001300292,0.0009850657,0.001200747,0.0004479231,0.001486147],"domain_scores_gemma":[0.9965918,0.001352093,0.0002976237,0.0005445278,0.0004249115,0.0007890305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03149162,0.0005410254,0.5071818,0.0003257313,0.0008239798,0.00004183886,0.0003949954,0.00003142284,0.001481942,0.00005279806,0.01029372,0.4473392],"study_design_scores_gemma":[0.02254931,0.001615242,0.971323,0.0003911191,0.000141501,0.00000829386,0.0003384957,0.0007671507,0.000109771,0.001107901,0.00125371,0.0003945109],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9521009,0.004327756,0.002311952,0.03104227,0.0006045004,0.006244854,0.00004733169,0.0001504119,0.003170014],"genre_scores_gemma":[0.9797539,0.0003774024,0.004149985,0.005827618,0.0009930476,0.006555904,0.0001521717,0.00008093024,0.002109034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4641412,"threshold_uncertainty_score":0.9998474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1094382782539314,"score_gpt":0.3994269692899648,"score_spread":0.2899886910360334,"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."}}