{"id":"W4386784365","doi":"10.1158/1557-3265.aacrahns23-po-042","title":"Abstract PO-042: Next generation liquid biopsy for diagnosis and prognostication in HPV+OPSCC","year":2023,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Liquid biopsy; Digital polymerase chain reaction; Concordance; Genotyping; Medicine; Whole genome sequencing; Oncology; DNA sequencing; Ion semiconductor sequencing; Genome; Computational biology; Internal medicine; Cancer; Gene; Biology; Genotype; Polymerase chain reaction; 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":[0.001537076,0.0005631805,0.0005011325,0.000879227,0.0002584629,0.001098288,0.0006701832,0.0006899431,0.003017822],"category_scores_gemma":[0.00163832,0.0002890812,0.0003388759,0.0004075998,0.0003159793,0.0005511209,0.0006057962,0.0005767893,0.000837518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004950263,"about_ca_system_score_gemma":0.0005369704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001271773,"about_ca_topic_score_gemma":0.001860801,"domain_scores_codex":[0.9993415,0.000160052,0.00004231098,0.0002047918,0.0002005142,0.00005080786],"domain_scores_gemma":[0.9994863,0.0001763637,0.00008351696,0.00005931413,0.0001324881,0.00006198048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004620538,0.0005128823,0.3234461,0.0005910043,0.000344192,0.0005940365,0.0001625309,0.007263192,0.3595279,0.0006826926,0.007400416,0.2948545],"study_design_scores_gemma":[0.0002822007,0.003728643,0.2847216,0.0001818266,0.0004487969,0.004221418,0.0002711962,0.1845567,0.5011859,0.001931646,0.01833243,0.0001375965],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9121188,0.006583439,0.06708125,0.0009501853,0.0002429069,0.0005331719,0.005006761,0.002609633,0.004873848],"genre_scores_gemma":[0.94694,0.0008544871,0.04587313,0.0003759661,0.0001019495,0.0002521611,0.002503338,0.0001227891,0.002976154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003017822,"threshold_uncertainty_score":0.0100956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3277659022950732,"score_gpt":0.5108360468936506,"score_spread":0.1830701445985774,"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."}}