{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001475581,0.0002001574,0.0004914942,0.0001444529,0.00003719801,0.00003323635,0.0002533043,0.0005311445,0.00004044898],"category_scores_gemma":[0.001118355,0.0001989266,0.0001679526,0.0002035946,0.0003530195,0.000006157695,0.0002277414,0.00116557,0.00001137007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001280056,"about_ca_system_score_gemma":0.0009223073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0050019,"about_ca_topic_score_gemma":0.001776429,"domain_scores_codex":[0.9968752,0.0005651137,0.0008731171,0.0008962657,0.0004172465,0.0003730717],"domain_scores_gemma":[0.9975548,0.0009517274,0.0003403832,0.0005732767,0.0005200521,0.00005972754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009649753,0.0001938379,0.08691815,0.0009931804,0.0005881172,0.00005666207,0.0004459061,0.0002829698,0.03427852,0.00001084752,0.8629988,0.01226803],"study_design_scores_gemma":[0.004638991,0.001206854,0.1089739,0.0007881016,0.000354248,0.000003602091,0.0002830797,0.0009645909,0.02875279,0.002794568,0.8502082,0.001031051],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9464939,0.01288655,0.00002168739,0.03626799,0.0006090692,0.001146199,0.002519983,0.000007045878,0.00004755742],"genre_scores_gemma":[0.8491824,0.07822885,0.0002628801,0.05971475,0.004764013,0.001591119,0.00249873,0.0001983445,0.003558906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0973115,"threshold_uncertainty_score":0.8111992,"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."}}