{"id":"W3049551640","doi":"10.1158/1557-3265.bladder19-a04","title":"Abstract A04: DNA damage repair gene mutations and associated tumor immune landscape as biomarkers of response to immunotherapy in muscle-invasive urothelial cancer","year":2020,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Bladder and Urothelial Cancer Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"TIGIT; Immune system; Immunotherapy; Biology; Immune checkpoint; Cancer research; Bladder cancer; Cancer; Transcriptome; Cancer immunotherapy; Tumor microenvironment; Biomarker; DNA repair; Immunology; Gene; Gene expression; Genetics","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":[0.0003165407,0.0001578427,0.0002542458,0.0009860491,0.0001802589,0.0004076434,0.0001378068,0.0001993271,0.001287575],"category_scores_gemma":[0.0006010059,0.00005764253,0.0002047809,0.0008971047,0.0001532725,0.0001428504,0.0001980476,0.0002304234,0.0002393087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002144961,"about_ca_system_score_gemma":0.0001311818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006581073,"about_ca_topic_score_gemma":0.001070453,"domain_scores_codex":[0.9998118,0.00003053164,0.00001875601,0.00005945228,0.0000492622,0.00003030805],"domain_scores_gemma":[0.9995767,0.0001124803,0.0001715458,0.00002598451,0.00006764157,0.00004552297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001485585,0.0000989768,0.7507847,0.0002460932,0.0001582872,0.0002390489,0.0001412779,0.0006911372,0.219571,0.00009615803,0.0008303979,0.02565729],"study_design_scores_gemma":[0.0000079402,0.0002281689,0.9735643,0.00001652759,0.00006479283,0.0005224349,0.0001752812,0.001662926,0.0222268,0.0001236607,0.001400135,0.000007047042],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954799,0.0007562042,0.0007318298,0.00004615877,0.000007413035,0.00001789736,0.002544328,0.00002841233,0.0003877918],"genre_scores_gemma":[0.9951691,0.0001922353,0.001141498,0.00005077888,0.000009070042,0.0000365091,0.002923195,0.000007391924,0.0004701193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001287575,"threshold_uncertainty_score":0.004307389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1139506375891736,"score_gpt":0.4625871172768211,"score_spread":0.3486364796876474,"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."}}