{"id":"W3066177668","doi":"10.1002/cncr.33144","title":"Performance characteristics of screening strategies to identify Lynch syndrome in women with ovarian cancer","year":2020,"lang":"en","type":"article","venue":"Cancer","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":21,"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 Research Institute","keywords":"PMS2; MLH1; Lynch syndrome; MSH6; Microsatellite instability; MSH2; Medicine; Oncology; Ovarian cancer; DNA mismatch repair; Germline mutation; Internal medicine; Family history; Cancer; Gynecology; Genetics; Colorectal cancer; Biology; Mutation; Microsatellite","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":[0.002780115,0.0003453544,0.000291073,0.001121541,0.0002102719,0.0004623527,0.00027204,0.0004480168,0.0004919136],"category_scores_gemma":[0.01588526,0.0001423614,0.0003256494,0.000564499,0.0003268693,0.0003034212,0.0003378176,0.0002080687,0.0001615724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006744611,"about_ca_system_score_gemma":0.0004885126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005099838,"about_ca_topic_score_gemma":0.007024506,"domain_scores_codex":[0.9986635,0.0004546827,0.0001398117,0.0002478752,0.0003368898,0.0001572753],"domain_scores_gemma":[0.9907116,0.005321098,0.001995019,0.0003319545,0.001124284,0.0005160052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002796804,0.00001600021,0.9943312,0.000009083787,0.00004178829,0.00002686716,0.00005093378,0.0001823706,0.0002350146,0.000008274274,0.00008394734,0.004734746],"study_design_scores_gemma":[0.00002360511,0.000713944,0.9940342,0.00001838038,0.0001019818,0.0004270851,0.0001428725,0.003367748,0.000739606,0.00005428789,0.0003670758,0.00000912615],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997852,0.0008564355,0.0002401469,0.00008972554,0.000006881337,0.00002038597,0.0001597168,0.00001536933,0.0007592961],"genre_scores_gemma":[0.9995877,0.00008433497,0.0001368757,0.00001822025,0.000005353058,0.000006052622,0.0001292697,0.000001615677,0.00003053059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005099838,"threshold_uncertainty_score":0.0147028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0300123990718711,"score_gpt":0.3039744575774818,"score_spread":0.2739620585056107,"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."}}