{"id":"W3030237145","doi":"10.1200/jco.2020.38.15_suppl.1523","title":"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":"Journal of Clinical Oncology","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Mount Sinai Hospital; Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Lynch syndrome; Medicine; Endometrial cancer; Serous fluid; Epigenetics; Oncology; Ovarian cancer; Germline mutation; Cancer; DNA mismatch repair; Germline; Internal medicine; Cancer research; Mutation; Genetics; Biology; Gene","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":[0.0003672127,0.0002142345,0.0001630239,0.001225,0.0002753101,0.0002391655,0.0002242292,0.0002317726,0.001123199],"category_scores_gemma":[0.0006076058,0.000109508,0.000133954,0.000469511,0.0001454781,0.00009611378,0.0002753143,0.0001196392,0.0002414392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007556684,"about_ca_system_score_gemma":0.000634597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03676299,"about_ca_topic_score_gemma":0.08789167,"domain_scores_codex":[0.999836,0.00001628853,0.00001698168,0.00003561911,0.00006776347,0.00002735323],"domain_scores_gemma":[0.9997254,0.00004219592,0.00006184248,0.00001559725,0.00009925906,0.00005571812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003293413,0.00002626973,0.8729656,0.0001171897,0.00004340414,0.002744011,0.0004160557,0.0003050091,0.09925582,0.00008384584,0.001843246,0.02187019],"study_design_scores_gemma":[0.000009805364,0.0001281633,0.977844,0.00003089053,0.00004451546,0.00494229,0.0002507454,0.001222234,0.01164969,0.00005712161,0.003814548,0.000005947555],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908447,0.001475504,0.0009763833,0.0001367794,0.00001082513,0.00009816046,0.004045616,0.00007486494,0.00233707],"genre_scores_gemma":[0.9923704,0.0004882405,0.002882475,0.0001057616,0.000005062306,0.00003856501,0.003057078,0.000007741101,0.001044621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03676299,"threshold_uncertainty_score":0.073098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4431684828375862,"score_gpt":0.4829195144493834,"score_spread":0.03975103161179722,"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."}}