{"id":"W2885574494","doi":"10.1158/1538-7445.am2018-583","title":"Abstract 583: Rapid release of ctDNA as a biomarker of treatment response in preclinical models of head and neck squamous cell carcinoma","year":2018,"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":"Princess Margaret Cancer Centre","funders":"","keywords":"Head and neck squamous-cell carcinoma; Apoptosis; Cancer research; Biomarker; Programmed cell death; Medicine; Cell culture; DNA damage; Pathology; Radiation therapy; Biology; Oncology; Head and neck cancer; Internal medicine; DNA","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005137359,0.0006125975,0.0004450321,0.0004487534,0.0001602334,0.0003212616,0.0002722779,0.0005750514,0.003666871],"category_scores_gemma":[0.0002571628,0.000184187,0.0003633186,0.0002871803,0.0003113446,0.0002746832,0.0001520858,0.0009979778,0.0007718969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004428379,"about_ca_system_score_gemma":0.0004245146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007714244,"about_ca_topic_score_gemma":0.001169882,"domain_scores_codex":[0.9996173,0.00007020841,0.00003218559,0.00007256068,0.0001455542,0.00006219112],"domain_scores_gemma":[0.9997163,0.00005066595,0.00007554123,0.00004203592,0.00006847191,0.00004679564],"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":[0.0007516306,0.0002981974,0.0003542534,0.00008398874,0.00001045529,0.00002139713,0.00001843386,0.0001392258,0.9957356,0.00002779469,0.000161704,0.002397227],"study_design_scores_gemma":[0.00009280858,0.005453781,0.004627266,0.00001079864,0.00002720255,0.00009156721,0.00001935008,0.000860486,0.9877898,0.00002225722,0.0009993337,0.000005389541],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875712,0.001960408,0.004678571,0.0001534808,0.0001024786,0.0003042609,0.002562586,0.0002740878,0.002392895],"genre_scores_gemma":[0.9781107,0.001037993,0.00556119,0.0001485606,0.00003301251,0.0005555035,0.003955261,0.00005854775,0.01053922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003666871,"threshold_uncertainty_score":0.01226693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09315469117093927,"score_gpt":0.407834326172086,"score_spread":0.3146796350011467,"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."}}