{"id":"W4393093855","doi":"10.1158/1538-7445.am2024-2443","title":"Abstract 2443: Improved detection of low frequency mutations in ovarian and endometrial cancers by utilizing a highly accurate sequencing platform","year":2024,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Ovarian cancer; Endometrial cancer; Medicine; Oncology; Computational biology; Internal medicine; Biology; Cancer","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":[0.0008243898,0.0004780803,0.0003583682,0.0004669015,0.0002588952,0.0007134934,0.0003148144,0.0005937676,0.002336863],"category_scores_gemma":[0.001500045,0.0003065066,0.0003804776,0.0003023813,0.0002470147,0.0003461643,0.0004429644,0.0005742704,0.001233245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002658493,"about_ca_system_score_gemma":0.000375164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001478482,"about_ca_topic_score_gemma":0.003623054,"domain_scores_codex":[0.9991259,0.0001453977,0.00005792734,0.0002996801,0.0002992041,0.00007194991],"domain_scores_gemma":[0.9994036,0.0002305347,0.00008120017,0.00006723089,0.0001667453,0.00005059362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001177215,0.00003573817,0.005685743,0.00007093278,0.00002553541,0.00005777815,0.00006245491,0.0006798792,0.9772067,0.000180851,0.0006167506,0.0152599],"study_design_scores_gemma":[0.00003000278,0.0004568475,0.03747619,0.00002491147,0.0000680387,0.0006696556,0.00006297546,0.01942373,0.927124,0.0001986562,0.0144206,0.00004444224],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8539169,0.001281395,0.1282554,0.0004043278,0.0001704586,0.0003360798,0.006778689,0.001753048,0.007103673],"genre_scores_gemma":[0.7570131,0.0005289832,0.220605,0.0006990297,0.00006310277,0.0002644978,0.01098243,0.0004661827,0.009377685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002336863,"threshold_uncertainty_score":0.007817566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04950854226924452,"score_gpt":0.3574085590408704,"score_spread":0.3079000167716259,"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."}}