{"id":"W2967404030","doi":"10.1186/s12916-019-1400-z","title":"New approaches for detecting cancer with circulating cell-free DNA","year":2019,"lang":"en","type":"letter","venue":"BMC Medicine","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; Mount Sinai Hospital","funders":"","keywords":"Medicine; Cell-free fetal DNA; Circulating tumor DNA; Biomarker; Cancer; Cancer detection; Liquid biopsy; DNA; Oncology; Internal medicine; Computational biology; Cancer research; Bioinformatics; Genetics; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001590219,0.0003420158,0.0004137915,0.00005866181,0.00006834625,0.00002018272,0.0003737025,0.0005052639,0.00003841429],"category_scores_gemma":[0.0002990159,0.0002701439,0.0001047753,0.00006540809,0.00005609007,0.000001497356,0.0001215184,0.0003516333,0.00000255043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000505627,"about_ca_system_score_gemma":0.0006112767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003739195,"about_ca_topic_score_gemma":0.0004213791,"domain_scores_codex":[0.9984355,0.00002256923,0.0002856539,0.0006497392,0.0002082568,0.0003982976],"domain_scores_gemma":[0.9985492,0.0002021584,0.0002855625,0.0008257354,0.00006627482,0.00007106973],"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":[0.00007685506,0.000005469742,0.0008779223,0.0007369401,0.00008562599,0.000007330838,0.0000601393,0.0004057572,0.00710782,0.000006438044,0.9879993,0.002630361],"study_design_scores_gemma":[0.003491142,0.0007258324,0.0001081838,0.0003920749,0.0003288469,0.00002611359,0.00008212052,0.0003186744,0.009263419,0.00009831633,0.9845842,0.0005810715],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.05109409,0.04650556,0.349649,0.5210871,0.007156937,0.006985291,0.0008403196,0.0001307963,0.01655099],"genre_scores_gemma":[0.04291642,0.001169876,0.04351716,0.719409,0.1521817,0.0008703555,0.00533548,0.000858104,0.03374193],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3061318,"threshold_uncertainty_score":0.9999751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04109146039287472,"score_gpt":0.2522831233557769,"score_spread":0.2111916629629021,"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."}}