{"id":"W2796061519","doi":"10.1038/s41388-018-0206-3","title":"A pilot study of ultra-deep targeted sequencing of plasma DNA identifies driver mutations in hepatocellular carcinoma","year":2018,"lang":"en","type":"article","venue":"Oncogene","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":115,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; University of Toronto; University Health Network","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute; Icahn School of Medicine at Mount Sinai","keywords":"Hepatocellular carcinoma; Biology; Druggability; COLD-PCR; Cancer research; Mutation; Deep sequencing; Carcinogenesis; Somatic cell; Gene; Carcinoma; DNA sequencing; Genetics; Point mutation; Genome","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001102684,0.0001055535,0.0001757011,0.00007795565,0.000036135,0.000006885536,0.0001393673,0.00003892875,0.00002337719],"category_scores_gemma":[0.00009411218,0.000114483,0.00003951924,0.0001436385,0.0001045443,0.000002958285,0.00005479146,0.00003852421,0.000003447834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003374831,"about_ca_system_score_gemma":0.0001360992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001318497,"about_ca_topic_score_gemma":0.004104358,"domain_scores_codex":[0.9991633,0.00003872121,0.0003107229,0.0002317246,0.0001094011,0.0001461075],"domain_scores_gemma":[0.9993564,0.00002465511,0.0001315113,0.0002812367,0.0001651092,0.00004106197],"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":[0.00008928405,0.0002954039,0.06615554,0.00001641182,0.00004185309,0.000008830513,0.0008513519,0.0001508629,0.9321784,0.00001226446,0.00005360492,0.0001461412],"study_design_scores_gemma":[0.001115957,0.00246528,0.01031958,0.00001181301,0.00003595036,0.000003926412,0.001117478,0.0004575929,0.9842024,0.00004410678,0.0001061067,0.0001198534],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986612,0.0003062872,0.0001529814,0.00000631202,0.000159798,0.0002553724,0.0000438764,0.000003114469,0.0004110104],"genre_scores_gemma":[0.9994417,0.00004363937,0.0002325078,0.00001796287,0.0001060864,0.00001879287,0.00005945201,0.00001664264,0.00006321268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05583595,"threshold_uncertainty_score":0.466848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02030252720932802,"score_gpt":0.2493874313863605,"score_spread":0.2290849041770325,"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."}}