{"id":"W2770220785","doi":"10.1038/s41598-017-17079-6","title":"Cell-Free DNA Kinetics in a Pre-Clinical Model of Head and Neck Cancer","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Princess Margaret Cancer Foundation","keywords":"Head and neck squamous-cell carcinoma; Lymph node; Medicine; Head and neck cancer; Cancer; Pathology; Cancer research; Tumour heterogeneity; Cell-free fetal DNA; Head and neck; Oncology; Internal medicine; Biology; Surgery","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004486434,0.00008821563,0.0001569423,0.00003162526,0.00009195459,0.00009569021,0.0002213085,0.0001013381,0.000006458628],"category_scores_gemma":[0.0003870654,0.0000867351,0.00005640688,0.00002824417,0.0003376095,0.000004126267,0.0003684569,0.00005674743,3.434832e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009247608,"about_ca_system_score_gemma":0.0002028389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002193425,"about_ca_topic_score_gemma":0.001378878,"domain_scores_codex":[0.9988064,0.0000108732,0.0004016456,0.000486234,0.000127727,0.00016712],"domain_scores_gemma":[0.9981226,0.00000896325,0.0003238813,0.001368847,0.00009054974,0.00008520926],"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":[0.00007656549,0.0003129812,0.2486904,0.00007094954,0.00002003046,0.00004677718,0.0001553474,0.002564777,0.7075441,0.00003948482,0.03736861,0.003110011],"study_design_scores_gemma":[0.002533103,0.0004899848,0.2714324,0.0001637217,0.00007285448,0.00004348439,0.00002683141,0.008758615,0.6482045,0.01184641,0.05575275,0.0006753391],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957755,0.001020458,0.000101008,0.0001184172,0.001520697,0.0001465834,0.0000241754,0.000002062076,0.001291063],"genre_scores_gemma":[0.9968275,0.0004267217,0.0009208171,0.000035413,0.0000887725,0.00001185665,0.00001804178,0.00001043125,0.001660387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05933961,"threshold_uncertainty_score":0.3536955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02734807911088778,"score_gpt":0.3195410319855366,"score_spread":0.2921929528746488,"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."}}