{"id":"W3204288268","doi":"10.1016/j.annonc.2021.08.1296","title":"886P Circulating tumor DNA kinetics in recurrent/metastatic head & neck squamous cell cancer (R/M HNSCC) patients","year":2021,"lang":"en","type":"article","venue":"Annals of Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Institute for Cancer Research; Princess Margaret Cancer Centre; University Health Network","funders":"Division of Mathematical Sciences; European Society for Medical Oncology; Korea Health Industry Development Institute; Regeneron Pharmaceuticals; Eli Lilly and Company; AstraZeneca; American Society of Clinical Oncology; Ono Pharmaceutical; Eisai; Handok; Daiichi Sankyo Europe; Sanofi; Roche; Amgen","keywords":"Squamous cell cancer; Medicine; Liquid biopsy; Oncology; Head and neck cancer; Head and neck; Internal medicine; Biopsy; Circulating tumor DNA; Cancer research; DNA; Cancer; Surgery","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":[0.000121819,0.0001009571,0.0001230297,0.0003470775,0.0001241006,0.0003712467,0.0001047526,0.000194965,0.002727954],"category_scores_gemma":[0.0006833594,0.000103844,0.00007944019,0.0002129247,0.0001035252,0.00020824,0.0001427609,0.0002192699,0.0005888122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002147227,"about_ca_system_score_gemma":0.0001244115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001522307,"about_ca_topic_score_gemma":0.001523414,"domain_scores_codex":[0.9999236,0.000006968242,0.000006482677,0.00002707868,0.0000153962,0.00002058446],"domain_scores_gemma":[0.9997593,0.00008690922,0.00006494225,0.00001076154,0.00003141385,0.00004663361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001905337,0.0000774927,0.9329861,0.00004482821,0.00003027437,0.0007461429,0.0003264087,0.0004237799,0.03306669,0.0001464789,0.000762072,0.02948426],"study_design_scores_gemma":[0.0000259184,0.0008155166,0.9819375,0.00001092438,0.00006509183,0.003096772,0.0004466926,0.001500098,0.00979956,0.0001397735,0.002151814,0.00001029064],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998147,0.0002452316,0.0001283627,0.00002995631,0.00000436957,0.000003854168,0.0005161074,0.00001852294,0.0009066009],"genre_scores_gemma":[0.9986424,0.00008116658,0.0001017011,0.00002036341,0.000005091038,0.000005384134,0.0003941816,0.000006751943,0.000742967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002727954,"threshold_uncertainty_score":0.009125948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05381183057978956,"score_gpt":0.355266173667969,"score_spread":0.3014543430881795,"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."}}