{"id":"W2973874320","doi":"10.1136/ijgc-2019-igcs.239","title":"239 Gynecological cancers in haiti: epidemiological characteristics and diagnostic challenges","year":2019,"lang":"en","type":"article","venue":"International Journal of Gynecological Cancer","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Endometrial cancer; Cervical cancer; Cancer; Gynecology; Epidemiology; Uterine cancer; Retrospective cohort study; Cancer registry; Vulvar cancer; Internal medicine; Obstetrics; Oncology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005849238,0.0001772736,0.0002023674,0.001673244,0.0009973719,0.0008398219,0.0006046682,0.0005040293,0.002019343],"category_scores_gemma":[0.001841768,0.0003576004,0.0001844744,0.003069751,0.0004510233,0.0008223045,0.000654082,0.0004067516,0.0002738491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008594491,"about_ca_system_score_gemma":0.001889629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05179464,"about_ca_topic_score_gemma":0.06809831,"domain_scores_codex":[0.9994721,0.0001190664,0.00008139206,0.00008021934,0.00009059683,0.0001566913],"domain_scores_gemma":[0.9990079,0.0002080019,0.0003811443,0.00004243293,0.000187005,0.0001737036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001485658,0.00002402576,0.9972335,0.00001844274,0.000008039551,0.0001396521,0.0002702906,0.00001421974,0.0001774019,0.00005331669,0.0001176258,0.001928733],"study_design_scores_gemma":[0.000001171269,0.0000283455,0.9935015,0.00002831905,0.00001020822,0.0005333622,0.004873445,0.0001699025,0.00006535673,0.00005411844,0.0007283297,0.000005933573],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957853,0.0006933305,0.0001213218,0.00065793,0.00001646605,0.00002872772,0.0009088833,0.00000477391,0.00178317],"genre_scores_gemma":[0.9985284,0.0005570886,0.0001117418,0.0001100461,0.00001977752,0.00001427816,0.0004639413,0.000002276699,0.0001925354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05179464,"threshold_uncertainty_score":0.1029863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05535787349738273,"score_gpt":0.3782502377900784,"score_spread":0.3228923642926956,"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."}}