{"id":"W3106214715","doi":"10.1136/ijgc-2020-igcs.29","title":"29 Comprehensive molecular assessment of mismatch repair deficiency in lynch-associated ovarian cancers using next-generation sequencing (NGS) panel","year":2020,"lang":"en","type":"article","venue":"International Journal of Gynecological Cancer","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sinai Health System; Princess Margaret Cancer Centre; University Health Network; University of Toronto","funders":"","keywords":"MSH6; Lynch syndrome; PMS2; MSH2; MLH1; Germline mutation; Endometrial cancer; Biology; Cancer research; Genetics; Ovarian cancer; Germline; Oncology; Mutation; Medicine; Cancer; DNA mismatch repair; Colorectal cancer; Gene","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":[0.0005315715,0.0004031499,0.0003139371,0.001935202,0.0004442497,0.0005252085,0.0003516645,0.0006385582,0.004421666],"category_scores_gemma":[0.001382113,0.0002436681,0.0004441396,0.000693933,0.000218272,0.0002337441,0.0004779873,0.0004079643,0.001027911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000429443,"about_ca_system_score_gemma":0.0005415548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004300229,"about_ca_topic_score_gemma":0.007236092,"domain_scores_codex":[0.9996309,0.00004932841,0.00004183853,0.0001045784,0.000122911,0.00005045877],"domain_scores_gemma":[0.9995199,0.0001771318,0.00007148132,0.00002907953,0.0001202672,0.00008215477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001467856,0.0001777944,0.4951423,0.0005184102,0.0003085924,0.01366743,0.0005100095,0.002965383,0.3165791,0.001086045,0.01390673,0.1536704],"study_design_scores_gemma":[0.0001329705,0.0007496388,0.7575563,0.0003995878,0.0005501547,0.03071394,0.0005803941,0.009358412,0.1337443,0.002195662,0.06393623,0.00008241385],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9518596,0.005439999,0.01060817,0.001256979,0.0001489935,0.0002880159,0.01550328,0.0003984966,0.01449647],"genre_scores_gemma":[0.9647565,0.002039437,0.01760793,0.001086917,0.00005757451,0.0001435833,0.008523715,0.00006868033,0.005715632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004421666,"threshold_uncertainty_score":0.01479203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2057987381319273,"score_gpt":0.3745970837236418,"score_spread":0.1687983455917144,"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."}}