{"id":"W3109467684","doi":"10.3390/cancers12123627","title":"Detection of Structural Variants in Circulating Cell-Free DNA from Sarcoma Patients Using Next Generation Sequencing","year":2020,"lang":"en","type":"article","venue":"Cancers","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University; Sarcoma UK; Deutschen Konsortium für Translationale Krebsforschung; Queen's University Belfast; Deutsches Krebsforschungszentrum","keywords":"Alveolar soft part sarcoma; Sarcoma; Liposarcoma; Myxoid liposarcoma; Synovial sarcoma; Soft tissue sarcoma; Alveolar rhabdomyosarcoma; Clear-cell sarcoma; Medicine; Pathology; DNA sequencing; Cell-free fetal DNA; Cancer research; DNA; Biology; Rhabdomyosarcoma; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000254685,0.00008278972,0.0000982569,0.00001904609,0.00003630055,0.00001533708,0.00009011188,0.00006911786,0.000007061758],"category_scores_gemma":[0.00009323128,0.00009713224,0.00003325834,0.00007720432,0.00001796396,0.000006650688,0.00005943728,0.00004926087,2.926722e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003303711,"about_ca_system_score_gemma":0.0002292618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002131389,"about_ca_topic_score_gemma":0.0006069595,"domain_scores_codex":[0.9993955,0.00002051943,0.0001834822,0.0002139328,0.00007152203,0.0001150689],"domain_scores_gemma":[0.9996472,0.000007430428,0.0001090405,0.0001433639,0.00004650545,0.00004642993],"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":[0.00002528203,0.000001460224,0.007978779,0.00001057692,0.000008295438,9.94231e-7,0.0001987903,0.03165072,0.9583648,0.000001457335,0.0000161209,0.001742724],"study_design_scores_gemma":[0.0009843918,0.0001030368,0.008194178,0.00001369835,0.00001546447,4.600058e-7,0.0001350778,0.1423401,0.8479868,0.00003803524,0.00004489053,0.0001438652],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972382,0.0003783944,0.001900396,0.000009254204,0.0002536454,0.0001030251,0.00007047811,0.000002963228,0.00004361165],"genre_scores_gemma":[0.9984758,0.00002940551,0.0008578188,0.0001864876,0.0003364001,0.000002854519,0.00009705827,0.00001352691,6.386505e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1106894,"threshold_uncertainty_score":0.3960938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03611892418647416,"score_gpt":0.2343538437228163,"score_spread":0.1982349195363422,"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."}}