{"id":"W4282969229","doi":"10.1158/1538-7445.am2022-3405","title":"Abstract 3405: Characterizing treatment response in head and neck cancer through viral ctDNA quantification and fragment length","year":2022,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University","funders":"","keywords":"Liquid biopsy; Head and neck cancer; Medicine; Digital polymerase chain reaction; Biopsy; Cancer; Internal medicine; Biomarker; Saliva; Oncology; Pathology; Gastroenterology; Polymerase chain reaction; Biology; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005228365,0.0002149646,0.0002713385,0.0007331105,0.0001534027,0.000380132,0.0002643391,0.0004160843,0.002366921],"category_scores_gemma":[0.001322845,0.00009845947,0.0001570854,0.0004654704,0.0001773475,0.0001913744,0.0001915233,0.0002842899,0.0005046767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004081336,"about_ca_system_score_gemma":0.0001826299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001387464,"about_ca_topic_score_gemma":0.001425351,"domain_scores_codex":[0.9996719,0.00007022142,0.00003009131,0.00006976756,0.0001246424,0.00003332336],"domain_scores_gemma":[0.9994261,0.0001605773,0.0001918386,0.00003864516,0.0001292165,0.0000536269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003989932,0.0003017281,0.6467011,0.0003768475,0.0001090632,0.0001878454,0.0003524445,0.0006725379,0.2790498,0.00006139097,0.0008056549,0.06739163],"study_design_scores_gemma":[0.00008042809,0.00334531,0.8717842,0.00004060832,0.0001027203,0.001889721,0.0002235177,0.002854608,0.1169407,0.00007820869,0.002637671,0.00002229921],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940305,0.002049859,0.001467334,0.00005457402,0.00001859889,0.0001036245,0.001257751,0.00005754723,0.0009602326],"genre_scores_gemma":[0.9943295,0.0002523093,0.003295847,0.00007154513,0.00001298921,0.00008399173,0.001202572,0.00001244623,0.0007386846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002366921,"threshold_uncertainty_score":0.007918179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07442716296407098,"score_gpt":0.3953690069990607,"score_spread":0.3209418440349897,"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."}}