{"id":"W1560588280","doi":"10.1002/cncr.28933","title":"Performance characteristics of screening strategies for Lynch syndrome in unselected women with newly diagnosed endometrial cancer who have undergone universal germline mutation testing","year":2014,"lang":"en","type":"article","venue":"Cancer","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":141,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Juravinski Hospital; Mount Sinai Hospital; Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Princess Margaret Hospital Foundation","keywords":"Lynch syndrome; MSH6; Microsatellite instability; Medicine; MSH2; MLH1; Germline mutation; Endometrial cancer; Family history; Genetic testing; Oncology; Internal medicine; Cancer; Gynecology; Mutation; DNA mismatch repair; Genetics; Biology; Colorectal cancer; Microsatellite","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001384392,0.0002687131,0.0002733581,0.0006447834,0.0001802162,0.0003355665,0.0002798687,0.0004107316,0.0005032612],"category_scores_gemma":[0.008224523,0.0001798343,0.000317715,0.0003374378,0.0001973048,0.0002803061,0.0003695375,0.0001676559,0.0001533346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002523958,"about_ca_system_score_gemma":0.0002325347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002546367,"about_ca_topic_score_gemma":0.003739571,"domain_scores_codex":[0.9992162,0.0002676694,0.00008167412,0.0001788654,0.0001425457,0.0001129068],"domain_scores_gemma":[0.9958937,0.001862471,0.001196822,0.0001934918,0.0003919029,0.0004616644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002003682,0.00002103295,0.9974895,0.000005061819,0.0000227978,0.00006015214,0.0000512336,0.00006158566,0.0002132642,0.000003781605,0.00002934104,0.001841953],"study_design_scores_gemma":[0.00001705463,0.0007203509,0.9972451,0.000007457335,0.00003568577,0.0005198194,0.0001362155,0.0009453649,0.0002513992,0.00001427987,0.0001021435,0.000005181042],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996226,0.000131387,0.00004977285,0.00001187746,0.000002077012,0.000007098149,0.00004523247,0.000002982327,0.0001269792],"genre_scores_gemma":[0.9997647,0.00003255417,0.00006582579,0.00001102956,0.000002352237,0.000004912053,0.00009517057,7.498931e-7,0.00002265754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002546367,"threshold_uncertainty_score":0.007321477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0258742533403907,"score_gpt":0.2726790943631391,"score_spread":0.2468048410227484,"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."}}