{"id":"W2790396840","doi":"10.1002/cncr.31314","title":"Characterization of metastatic urothelial carcinoma via comprehensive genomic profiling of circulating tumor DNA","year":2018,"lang":"en","type":"article","venue":"Cancer","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"EMD Serono; Genentech; Ipsen; Sanofi; Exelixis; Astellas Pharma; National Cancer Institute; Cleveland Clinic Foundation; Cleveland Clinic; Eisai; Celgene; Bristol-Myers Squibb; AstraZeneca; Amgen; Pfizer","keywords":"Medicine; Biomarker; Oncology; Internal medicine; Cancer research; ARID1A; Cohort; Cancer; Cell-free fetal DNA; Pathology; Gene; Biology; Mutation; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000406024,0.00009262049,0.0001643232,0.00002983622,0.00003050101,0.000004855564,0.00008868745,0.00003082334,0.0000329835],"category_scores_gemma":[0.00002353823,0.00009684736,0.00005548531,0.00005835988,0.0001058626,0.000002361191,0.00005613009,0.00002776209,0.000001850194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002223774,"about_ca_system_score_gemma":0.0001782575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008537522,"about_ca_topic_score_gemma":0.00002230803,"domain_scores_codex":[0.9993739,0.00001932177,0.0002373946,0.0001805005,0.00006452889,0.0001244151],"domain_scores_gemma":[0.9993277,0.00001022779,0.0002143231,0.0001832483,0.0002309203,0.00003359829],"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":[0.00006060891,0.00001587498,0.006096353,0.00006986243,0.00003828551,7.766872e-7,0.0001036604,0.00005712885,0.9924064,0.00004520548,0.00001009656,0.001095799],"study_design_scores_gemma":[0.0003930196,0.0001592347,0.02153035,0.00001981199,0.0000380315,0.000004167448,0.00002820459,0.0006023599,0.9762542,0.00002830719,0.0008416254,0.0001006924],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959531,0.0003665379,0.002911696,0.00001275441,0.00026288,0.0002066171,0.000192432,0.000002758611,0.0000911537],"genre_scores_gemma":[0.9985855,0.00005788708,0.0006655856,0.0001447078,0.0003996901,0.00002137998,0.0000900968,0.00002023833,0.00001496342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01615216,"threshold_uncertainty_score":0.3949321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01786953350236807,"score_gpt":0.2626700821510454,"score_spread":0.2448005486486773,"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."}}