{"id":"W2980410957","doi":"10.1056/nejmc1816154","title":"Cell-free DNA Analysis in Cancer","year":2019,"lang":"en","type":"letter","venue":"New England Journal of Medicine","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Sinai Hospital","funders":"","keywords":"Medicine; Cell-free fetal DNA; DNA; Cancer; Cancer research; Computational biology; Genetics; Internal medicine; Biology","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":[0.0003754038,0.0002203684,0.0006725937,0.0003792585,0.00001286776,0.00001111843,0.0004584922,0.0003924477,0.0002029915],"category_scores_gemma":[0.0002495546,0.0001649729,0.0002039703,0.0002263436,0.00004857293,0.000001966765,0.00007504214,0.000788049,0.000002218212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005827643,"about_ca_system_score_gemma":0.0004624201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006167482,"about_ca_topic_score_gemma":0.0006443711,"domain_scores_codex":[0.9986054,0.00006437943,0.0005447188,0.0002225929,0.0003271354,0.0002358128],"domain_scores_gemma":[0.998693,0.0001141726,0.0005134911,0.0004420738,0.0001488842,0.00008838638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001167663,0.0000140419,0.004414485,0.00004364044,0.0004076263,0.0002364496,0.00006512948,0.000542459,0.003135192,8.070418e-7,0.9881512,0.002872211],"study_design_scores_gemma":[0.01420069,0.0006194873,0.0008480016,0.0001210692,0.0009171394,0.00004863188,0.00001235781,0.00001109082,0.0007523163,0.00007982902,0.9822101,0.0001792816],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1046731,0.04349932,0.0006491956,0.8439662,0.003792365,0.0002260369,0.0001311571,0.0000029214,0.003059627],"genre_scores_gemma":[0.1098974,0.03753323,0.0003944343,0.7061289,0.1341283,0.000005889616,0.0006041246,0.0001129723,0.01119465],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1378373,"threshold_uncertainty_score":0.6727399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01000440354525492,"score_gpt":0.2554579063976244,"score_spread":0.2454535028523695,"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."}}