{"id":"W4409630346","doi":"10.1158/1538-7445.am2025-3261","title":"Abstract 3261: 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; Cancer; Whole genome sequencing; Genome; Medicine; Computational biology; Internal medicine; Biology; Oncology; Genetics; Gene","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":[0.0009242328,0.0006776581,0.0005194368,0.0009498449,0.0003327828,0.001046648,0.0004104289,0.0008101677,0.002125978],"category_scores_gemma":[0.001559059,0.000309737,0.0005086368,0.0008788133,0.0002331836,0.0003201069,0.0006728893,0.0008710847,0.001580713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003268762,"about_ca_system_score_gemma":0.0003319245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00100208,"about_ca_topic_score_gemma":0.001031928,"domain_scores_codex":[0.9992025,0.0001674219,0.00004853727,0.0003081069,0.0002164133,0.00005701379],"domain_scores_gemma":[0.9991801,0.0002177715,0.0001567831,0.0001127923,0.0002264604,0.0001061362],"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":[0.001918256,0.0003309009,0.1912751,0.0006094137,0.0004994168,0.0007077667,0.0002989906,0.003796835,0.6875269,0.0005901387,0.0144348,0.09801156],"study_design_scores_gemma":[0.0002464354,0.001862635,0.4001549,0.0001809184,0.000562321,0.005920155,0.0002812054,0.03588529,0.4823626,0.00213601,0.0702735,0.0001341118],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.850787,0.00538162,0.08715586,0.001275171,0.0003243179,0.0004708862,0.04361954,0.005051646,0.005933919],"genre_scores_gemma":[0.858686,0.002011569,0.07799061,0.001523611,0.0002421611,0.0005890031,0.05228231,0.0007499715,0.005924833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002125978,"threshold_uncertainty_score":0.007112086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04492133902640405,"score_gpt":0.37785945443464,"score_spread":0.3329381154082359,"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."}}