{"id":"W2991225937","doi":"10.1158/1078-0432.ccr-19-1623","title":"Identification of Hypermutation and Defective Mismatch Repair in ctDNA from Metastatic Prostate Cancer","year":2019,"lang":"en","type":"letter","venue":"Clinical Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Juravinski Cancer Centre; Ottawa Regional Cancer Foundation; Jewish General Hospital; Montreal General Hospital; BC Cancer Agency; Ottawa Hospital; University of British Columbia","funders":"Canadian Institutes of Health Research; Prostate Cancer Canada; Government of Canada; Prostate Cancer Foundation","keywords":"Somatic hypermutation; Biology; Cancer research; MSH2; MLH1; Prostate cancer; DNA repair; DNA mismatch repair; MSH6; Microsatellite instability; Cancer; Genetics; Allele; Gene; Microsatellite; Antibody","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002172228,0.0002419104,0.0002311359,0.0008537633,0.0002600706,0.0003005754,0.0002269228,0.000255093,0.001580327],"category_scores_gemma":[0.0008126809,0.0001473785,0.000135706,0.0006715619,0.0002203144,0.0001156799,0.0002580037,0.0002651873,0.0002536224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002623674,"about_ca_system_score_gemma":0.0001988971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009777644,"about_ca_topic_score_gemma":0.001264664,"domain_scores_codex":[0.9998316,0.00002334512,0.00002003509,0.00005199761,0.00005135204,0.0000216239],"domain_scores_gemma":[0.9996316,0.00009204751,0.0001181504,0.00004099507,0.0000524624,0.00006481943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000739059,0.00005621673,0.781029,0.0001863699,0.00009825797,0.003470657,0.0002833774,0.0003587277,0.1977797,0.0001126983,0.0002094178,0.01567647],"study_design_scores_gemma":[0.00004189717,0.0006302134,0.8858862,0.00002806476,0.00009695191,0.03871934,0.0001927871,0.001589311,0.07105196,0.0001500143,0.001601997,0.00001112528],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9985456,0.0003944645,0.000595573,0.00001661008,0.000002249191,0.00001108265,0.0001861633,0.00001735182,0.0002308844],"genre_scores_gemma":[0.9992188,0.00007991043,0.0003429831,0.00001510789,0.000003319129,0.000005382503,0.0002543761,0.000003623673,0.00007644933],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.001580327,"threshold_uncertainty_score":0.005286694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09185235799688074,"score_gpt":0.4557856532562543,"score_spread":0.3639332952593736,"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."}}