{"id":"W4362544614","doi":"10.1158/1538-7445.am2023-5434","title":"Abstract 5434: Machine-learning-based epigenetic detection of early-stage lung cancers using the EpiCheck liquid biopsy platform","year":2023,"lang":"en","type":"article","venue":"Cancer Research","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"DNA methylation; Liquid biopsy; Lung cancer; Methylation; Epigenetics; Biology; Oncology; Computational biology; Cancer; Bioinformatics; Internal medicine; Gene; Medicine; Genetics; Gene expression","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":[0.001132634,0.0005581309,0.0004845693,0.0008092869,0.000270763,0.0005527217,0.001006169,0.0005179598,0.004964466],"category_scores_gemma":[0.001142686,0.0003657126,0.0003239917,0.0004716417,0.0002114523,0.000356257,0.0004945676,0.0006455572,0.001433362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005236172,"about_ca_system_score_gemma":0.001019478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003309535,"about_ca_topic_score_gemma":0.005812997,"domain_scores_codex":[0.9995068,0.00007827864,0.00002463781,0.0001581853,0.000193225,0.00003876275],"domain_scores_gemma":[0.9996651,0.0001126634,0.00004751872,0.00004272536,0.0001011431,0.00003074356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002675313,0.0004829409,0.03023672,0.0005417007,0.0002785542,0.0004576964,0.0000843408,0.02291066,0.7121226,0.002278613,0.03141886,0.1965121],"study_design_scores_gemma":[0.0005155909,0.001256349,0.05130512,0.00005804476,0.0001938699,0.001065122,0.000038028,0.5032856,0.4076436,0.002227241,0.03228044,0.0001309569],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5606099,0.00389377,0.3570223,0.00156292,0.0002460936,0.001371898,0.03925252,0.02327001,0.01277052],"genre_scores_gemma":[0.550178,0.0007359221,0.4003379,0.0009328878,0.00007743479,0.001613393,0.03244346,0.0006950998,0.01298583],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.004964466,"threshold_uncertainty_score":0.01660782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07899670864868054,"score_gpt":0.3950936996744417,"score_spread":0.3160969910257612,"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."}}