{"id":"W3160802415","doi":"10.1002/cncr.33625","title":"Maximizing cancer prevention through genetic navigation for Lynch syndrome detection in women with newly diagnosed endometrial and nonserous/nonmucinous epithelial ovarian cancer","year":2021,"lang":"en","type":"article","venue":"Cancer","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; McMaster University; Health Sciences Centre; Mount Sinai Hospital; Sunnybrook Health Science Centre; Juravinski Cancer Centre; Sinai Health System; Princess Margaret Cancer Centre; Toronto Metropolitan University; University of Toronto; University Health Network","funders":"Canadian Cancer Society","keywords":"Lynch syndrome; Medicine; Genetic testing; Family history; Endometrial cancer; Genetic counseling; Ovarian cancer; Oncology; Gynecology; Cancer; MLH1; Referral; Internal medicine; Family medicine; DNA mismatch repair; Genetics; Biology; Colorectal cancer","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008687161,0.0001637999,0.0001976807,0.0004613371,0.0007556028,0.0003836577,0.0004141122,0.0003431107,0.001583495],"category_scores_gemma":[0.004228709,0.0001284997,0.0001772465,0.0002637201,0.0002237946,0.000269267,0.0007017918,0.0002706112,0.0001814238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001025419,"about_ca_system_score_gemma":0.003595355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05001926,"about_ca_topic_score_gemma":0.1112074,"domain_scores_codex":[0.9995614,0.0001986013,0.0000237878,0.00005353052,0.00007447955,0.00008818943],"domain_scores_gemma":[0.9988587,0.000372246,0.0002741803,0.00003236037,0.0001077676,0.0003547051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004019239,0.0004536275,0.885144,0.0001676027,0.00003076893,0.0004391714,0.001264926,0.000352895,0.0009408865,0.00009188323,0.004193275,0.106519],"study_design_scores_gemma":[0.0001731608,0.001226583,0.9854221,0.0002882635,0.0001092749,0.001059731,0.002067908,0.001981649,0.0007540322,0.0002901489,0.006606451,0.00002075845],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897853,0.001579263,0.0006261495,0.00276399,0.00003081731,0.0002171131,0.0001351143,0.00007446329,0.004787847],"genre_scores_gemma":[0.9969538,0.0006466686,0.001649901,0.0002763027,0.00002429789,0.00007497677,0.00007340161,0.000003048654,0.0002976388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05001926,"threshold_uncertainty_score":0.09945625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02280546186425142,"score_gpt":0.2961506804804469,"score_spread":0.2733452186161955,"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."}}