{"id":"W3110051212","doi":"10.1158/2643-3249.lymphoma20-ia42","title":"Abstract IA42: Detecting and quantifying mutations associated with treatment resistance in aggressive lymphomas using ctDNA","year":2020,"lang":"en","type":"article","venue":"Blood Cancer Discovery","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Spinal Cord Injury BC; Queen's University; McGill University; Simon Fraser University","funders":"","keywords":"Oncology; Exome sequencing; Exome; Medicine; Precision medicine; Internal medicine; Diffuse large B-cell lymphoma; Lymphoma; Population; Digital polymerase chain reaction; Rituximab; Bioinformatics; Biology; Mutation; Pathology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000353555,0.0001542462,0.0001643603,0.00002571889,0.00009208226,0.00007661396,0.00005735563,0.00006784913,0.0000032276],"category_scores_gemma":[0.0001188689,0.0001440279,0.00003881061,0.0001204821,0.0000507916,0.00001321326,0.00003756406,0.00004960741,2.182148e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008687477,"about_ca_system_score_gemma":0.0002980728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005260413,"about_ca_topic_score_gemma":0.010049,"domain_scores_codex":[0.9991819,0.00001804655,0.0001671508,0.0003473469,0.0000797837,0.000205779],"domain_scores_gemma":[0.9995503,0.00004360762,0.0001899589,0.000113858,0.00003290429,0.00006931532],"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":[0.0008895511,0.0004024146,0.2938741,0.000163989,0.0008453893,0.0003027229,0.001906903,0.01297433,0.6840863,0.0001276654,0.00007635137,0.004350331],"study_design_scores_gemma":[0.01535504,0.001323961,0.2825691,0.001552566,0.0008649171,0.00003162672,0.001834136,0.001179098,0.6915872,0.0002082082,0.001769618,0.001724542],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904196,0.00878382,0.00009808654,0.0001445556,0.00004692267,0.0001652338,0.0001636099,0.000007580687,0.0001705951],"genre_scores_gemma":[0.9980532,0.001270431,0.000227537,0.0001775345,0.0001322011,0.00003814355,0.00004998638,0.00002639413,0.00002456046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01446549,"threshold_uncertainty_score":0.5873286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03169157068812597,"score_gpt":0.2752715269306022,"score_spread":0.2435799562424762,"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."}}