{"id":"W4388077828","doi":"10.1016/j.cancergen.2023.08.009","title":"1. Clinical validation of plasma whole genome sequencing for detection of minimal residual disease from solid tumours","year":2023,"lang":"en","type":"article","venue":"Cancer Genetics","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Minimal residual disease; DNA extraction; DNA sequencing; Internal medicine; Computational biology; Biology; Medicine; Oncology; Gene; Genetics; Polymerase chain reaction","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001748677,0.0001179206,0.0002005075,0.00004986913,0.0000414459,0.00001179868,0.0001490283,0.0001204234,0.00000567989],"category_scores_gemma":[0.0001844668,0.0001345373,0.00012874,0.0001025052,0.00009236699,0.000002869825,0.00008976994,0.00004865736,0.000002491437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004179665,"about_ca_system_score_gemma":0.0003897697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006317608,"about_ca_topic_score_gemma":0.0001275736,"domain_scores_codex":[0.9989063,0.00003241817,0.0004409834,0.0003130406,0.0001181322,0.0001891045],"domain_scores_gemma":[0.9990937,0.00008062652,0.0002331152,0.0002947369,0.0001920443,0.0001057927],"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":[0.0003415817,0.00002491836,0.01318314,0.0000532713,0.00006663587,0.000001003238,0.00006730757,0.01491086,0.9674784,0.000004162518,0.0003711419,0.003497574],"study_design_scores_gemma":[0.0007924247,0.0003646777,0.05253289,0.00002381127,0.000128165,2.772031e-7,0.0001090365,0.002317347,0.9380103,0.0001874892,0.00537055,0.0001630349],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940041,0.001263301,0.001904116,0.00006276728,0.0005004765,0.0002572892,0.001985405,0.00000908208,0.00001350014],"genre_scores_gemma":[0.9951873,0.002164389,0.0008329644,0.00004696089,0.000874704,0.00005908819,0.0007375414,0.00003236648,0.0000646941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03934975,"threshold_uncertainty_score":0.5486271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03726946704620738,"score_gpt":0.3288551777424637,"score_spread":0.2915857106962563,"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."}}