{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003781361,0.0001694733,0.0002637033,0.001060821,0.0001456526,0.0004678038,0.0002051909,0.0002405933,0.0008421859],"category_scores_gemma":[0.00132391,0.00009310916,0.0001554876,0.0006514396,0.0001763399,0.0002450501,0.0003093114,0.0002423574,0.0001801178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003420856,"about_ca_system_score_gemma":0.0003173218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001345392,"about_ca_topic_score_gemma":0.002050274,"domain_scores_codex":[0.9997695,0.00003184521,0.00002284649,0.0000806283,0.00006388841,0.0000312053],"domain_scores_gemma":[0.9994037,0.0001498483,0.0002075441,0.00003661229,0.0001128461,0.00008947291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003811327,0.00004114278,0.8979267,0.0001233181,0.00007418828,0.0005320685,0.00012141,0.0009655806,0.05753385,0.000209934,0.0006558826,0.04143489],"study_design_scores_gemma":[0.00003195176,0.0004819686,0.9519461,0.00006978666,0.0001232915,0.006163352,0.0002728941,0.00534292,0.03062616,0.0004802815,0.004443926,0.00001737651],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991035,0.002294125,0.004246996,0.000131685,0.00001061869,0.00004485569,0.001229296,0.00006376659,0.0009436382],"genre_scores_gemma":[0.9959751,0.000425587,0.002618091,0.00006153897,0.00001193062,0.0000205295,0.0007217749,0.000006743388,0.0001586886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001345392,"threshold_uncertainty_score":0.002817392,"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."}}