{"id":"W4411715903","doi":"10.1097/01.cot.0000000000000080","title":"Cervical Cancer Incidence & Mortality Expected to Soar by 2050","year":2025,"lang":"en","type":"article","venue":"Oncology Times","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Soar; Cervical cancer; Incidence (geometry); Medicine; Oncology; Cancer; Internal medicine; Demography; Computer science; Artificial intelligence; Mathematics; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002295864,0.0001331076,0.0004198043,0.000114152,0.0000909306,0.00001407934,0.0001942933,0.000208977,0.03074408],"category_scores_gemma":[0.0002731975,0.0001125724,0.0000777233,0.0005122694,0.0001552165,0.00004741252,0.0001937376,0.0003702624,0.0004486655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005225934,"about_ca_system_score_gemma":0.0006925499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0032168,"about_ca_topic_score_gemma":0.004018368,"domain_scores_codex":[0.9985748,0.00009318635,0.0002489081,0.000388101,0.0002949244,0.0004001141],"domain_scores_gemma":[0.9988942,0.0001822827,0.00002830391,0.0003573736,0.0002452335,0.0002926585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007010513,0.0003697466,0.07536165,0.0001177283,0.0001730797,0.00003946888,0.0002788191,0.000003721857,0.005233929,0.0006167613,0.8513191,0.06578495],"study_design_scores_gemma":[0.001040769,0.000254885,0.3081274,0.00002591042,0.00008922632,0.000004899007,0.00006723806,0.00003979468,0.001397125,0.0004545132,0.688386,0.0001123035],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3405971,0.004086519,0.0004966259,0.06019907,0.0005482708,0.0009359136,0.00006835609,0.0002002982,0.5928679],"genre_scores_gemma":[0.8748871,0.0003185573,0.0006436388,0.01481657,0.0003182236,0.0004016639,0.00008587592,0.00002012156,0.1085082],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.53429,"threshold_uncertainty_score":0.9701419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04452170050135746,"score_gpt":0.4467629008338472,"score_spread":0.4022412003324897,"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."}}