{"id":"W3047241938","doi":"10.1158/1538-7445.pedca19-ia05","title":"Abstract IA05: Circulating tumor DNA as a tool for prognostication, translational discovery, and early cancer detection","year":2020,"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":"","funders":"","keywords":"Cancer; Medicine; Liquid biopsy; Somatic cell; Circulating tumor DNA; Oncology; Internal medicine; Cancer research; Bioinformatics; Computational biology; Biology; Gene; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005015234,0.00110111,0.0009055471,0.004121533,0.0006074356,0.004483629,0.001595968,0.001648737,0.01710343],"category_scores_gemma":[0.003952093,0.0005750522,0.0005365192,0.002401797,0.001301679,0.001121821,0.0008614024,0.002254112,0.01019436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003286327,"about_ca_system_score_gemma":0.003776161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01363903,"about_ca_topic_score_gemma":0.01542724,"domain_scores_codex":[0.9979647,0.0006069322,0.0001500525,0.0002790284,0.0008284214,0.0001709662],"domain_scores_gemma":[0.9955021,0.0005854796,0.0004463453,0.0002912279,0.002223341,0.0009515987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006981508,0.0001007182,0.00561408,0.0004987462,0.00005673173,0.0002319073,0.00008195182,0.000228363,0.01144146,0.004618475,0.7090697,0.2673597],"study_design_scores_gemma":[0.0002006829,0.0005481955,0.028478,0.0006911239,0.0001627261,0.001136495,0.0001121018,0.001279589,0.01590958,0.002513594,0.9488924,0.00007554435],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03080441,0.3610759,0.06600668,0.1677184,0.09117015,0.001581887,0.03425261,0.01212284,0.2352671],"genre_scores_gemma":[0.2559457,0.1741017,0.1058495,0.03435874,0.03312597,0.0009781864,0.03967497,0.001466268,0.3544989],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01710343,"threshold_uncertainty_score":0.0572167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04722059645014087,"score_gpt":0.3595539037925309,"score_spread":0.31233330734239,"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."}}