{"id":"W2954642045","doi":"10.3747/co.26.4473","title":"Prognostic Factors in Asian and White American Patients with Cervical Cancer, Considering Competing Risks","year":2019,"lang":"en","type":"article","venue":"Current Oncology","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Public Health Ontario; University of Toronto","funders":"National Cancer Institute; National Institutes of Health; Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China; U.S. Department of Health and Human Services","keywords":"Medicine; Cervical cancer; Incidence (geometry); Cumulative incidence; Epidemiology; Stage (stratigraphy); Cancer registry; Multivariate analysis; Population; Internal medicine; Oncology; Proportional hazards model; Univariate analysis; Cancer; Gynecology; Cohort; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001235652,0.000260877,0.0002373991,0.0007634804,0.0004336505,0.0005868414,0.0002410981,0.0003382771,0.00160044],"category_scores_gemma":[0.00346848,0.0001451998,0.000715423,0.0009812616,0.0003084139,0.0004119321,0.0004276914,0.0005954019,0.000139065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002467993,"about_ca_system_score_gemma":0.0005575808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003002669,"about_ca_topic_score_gemma":0.003901914,"domain_scores_codex":[0.999671,0.0001084494,0.00002907671,0.00006108278,0.00005166886,0.00007869662],"domain_scores_gemma":[0.998046,0.0005898126,0.0007598118,0.0001123412,0.0001293714,0.0003627434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009974872,0.00001309082,0.9982316,0.000004130938,0.00004664298,0.00006713937,0.0000506438,0.00009582975,0.00006014238,0.00004898792,0.00007887786,0.00120303],"study_design_scores_gemma":[0.00001625182,0.0001337635,0.9956684,0.00001191717,0.0001482775,0.0007252516,0.0004386852,0.001854086,0.0001008128,0.0004992048,0.0003917406,0.00001160046],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986725,0.0003356431,0.0001703039,0.0001641778,0.00000743849,0.000004634167,0.0001646953,0.000003967285,0.0004766424],"genre_scores_gemma":[0.9996245,0.00006246582,0.00006608051,0.00002972087,0.000009436686,0.000003020994,0.0001483258,0.000001239093,0.00005533806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003002669,"threshold_uncertainty_score":0.006534815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07918387400630632,"score_gpt":0.3843379357629072,"score_spread":0.3051540617566009,"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."}}