{"id":"W4362541128","doi":"10.1158/1538-7445.am2023-6522","title":"Abstract 6522: Improved detection of low frequency mutations in ovarian and endometrial cancers by utilizing a highly accurate sequencing platform","year":2023,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Ovarian cancer; Endometrial cancer; Germline mutation; Germline; Medicine; Oncology; Internal medicine; Cancer; Biology; Gene; Mutation; Genetics","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":[0.0008384914,0.0005551933,0.0004248024,0.0009932664,0.0002437399,0.0007255449,0.0004107935,0.0009098562,0.004100669],"category_scores_gemma":[0.001615161,0.0003614827,0.0003672862,0.0004034483,0.0001959897,0.0003835913,0.0005337786,0.0005161704,0.002299791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002506318,"about_ca_system_score_gemma":0.0003515865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001223339,"about_ca_topic_score_gemma":0.003885486,"domain_scores_codex":[0.9990109,0.0001589187,0.00006381376,0.0003333213,0.0003610413,0.00007184071],"domain_scores_gemma":[0.9993468,0.000235559,0.00009217833,0.00007344354,0.0001820483,0.00006989603],"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":[0.0004458421,0.0001091705,0.029786,0.0001728382,0.0001107973,0.0003066363,0.0001194652,0.001096989,0.8910442,0.0004083555,0.00447859,0.07192121],"study_design_scores_gemma":[0.0001613695,0.001409639,0.1080509,0.0001087269,0.0002394609,0.004359298,0.0001397039,0.0399406,0.7951273,0.0007716745,0.04953997,0.0001514434],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8239056,0.004614244,0.1386962,0.001136979,0.0005470384,0.0005461129,0.01258116,0.005094601,0.01287798],"genre_scores_gemma":[0.7854901,0.00106696,0.1820952,0.001534168,0.0001543924,0.0004334776,0.01331106,0.0005896447,0.01532501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004100669,"threshold_uncertainty_score":0.01371813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06048615072481249,"score_gpt":0.3607141307067073,"score_spread":0.3002279799818948,"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."}}