{"id":"W4414585571","doi":"10.1158/1538-7445.pancreatic25-b072","title":"Abstract B072: Plasma whole-genome sequencing to monitor pancreatic cancer","year":2025,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University Health Network; Ontario Institute for Cancer Research; University of Toronto","funders":"","keywords":"Pancreatic cancer; Liquid biopsy; Cancer; Circulating tumor cell; Pancreatic ductal adenocarcinoma; Circulating tumor DNA; Stage (stratigraphy); Disease; Cohort","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":[0.001215864,0.000746846,0.0006070284,0.001124482,0.0004377842,0.001288615,0.0005191703,0.0009578254,0.00239894],"category_scores_gemma":[0.001980404,0.0004086683,0.0005976619,0.0009643459,0.0002811058,0.0003147466,0.0008386444,0.001066476,0.001891096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00039629,"about_ca_system_score_gemma":0.0004667975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001761919,"about_ca_topic_score_gemma":0.001858358,"domain_scores_codex":[0.9990184,0.0002199869,0.00005353125,0.0003638219,0.0002732937,0.00007091034],"domain_scores_gemma":[0.9989404,0.0002974678,0.0001567248,0.0001456055,0.0003098377,0.0001499286],"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":[0.002953896,0.0005158035,0.2346238,0.0007269654,0.0008802774,0.0008181497,0.0003817294,0.006719161,0.586105,0.001079611,0.0330362,0.1321593],"study_design_scores_gemma":[0.00045853,0.002181875,0.3822023,0.0002587941,0.0007652482,0.005517012,0.000371285,0.07451794,0.4256672,0.003754475,0.1041074,0.0001979614],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7687329,0.006064625,0.1311355,0.001998064,0.0004761695,0.0006672327,0.0735953,0.008789311,0.008540885],"genre_scores_gemma":[0.7851053,0.001926391,0.1177488,0.002294348,0.0003199008,0.0008987777,0.08386218,0.001293393,0.006550928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00239894,"threshold_uncertainty_score":0.008025229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04467019958588224,"score_gpt":0.3782010911591238,"score_spread":0.3335308915732415,"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."}}