{"id":"W3161292223","doi":"10.3390/curroncol28040214","title":"Targeted Next-Generation Sequencing of Circulating Tumor DNA Mutations among Metastatic Breast Cancer Patients","year":2021,"lang":"en","type":"article","venue":"Current Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Southern Medical University; National Natural Science Foundation of China","keywords":"Medicine; DNA sequencing; Metastatic breast cancer; Breast cancer; Circulating tumor DNA; Cancer; Oncology; Internal medicine; DNA; Cancer research; Bioinformatics; Genetics; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002001394,0.0001487162,0.0002340789,0.0004415697,0.0001058986,0.000235224,0.0001124947,0.0002181659,0.0003422986],"category_scores_gemma":[0.0007633308,0.00008598974,0.0001056862,0.0003081024,0.00006617023,0.00007735444,0.0001152948,0.0001479739,0.00008838118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001705653,"about_ca_system_score_gemma":0.0001111591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009127185,"about_ca_topic_score_gemma":0.001613796,"domain_scores_codex":[0.999849,0.0000351587,0.00001202808,0.00004735738,0.00003714398,0.00001926899],"domain_scores_gemma":[0.9998301,0.0000591221,0.00005091469,0.0000115544,0.00002458271,0.00002367618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009298713,0.0001166845,0.7100026,0.000107967,0.0001182826,0.001109967,0.0003049095,0.001595375,0.2135651,0.0001655355,0.0009793125,0.07100445],"study_design_scores_gemma":[0.00007481327,0.000670431,0.9300743,0.00003433603,0.0001805876,0.0048281,0.0002048999,0.01449126,0.0459419,0.0003212425,0.003159686,0.00001843783],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997846,0.0005830475,0.001066525,0.00004479622,0.00000652684,0.00001032293,0.0002337388,0.00001540822,0.0001936458],"genre_scores_gemma":[0.9978361,0.0001702504,0.001469933,0.00005954521,0.00001034212,0.00001261089,0.000281653,0.000003215201,0.0001564777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009127185,"threshold_uncertainty_score":0.001814842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08104736172053147,"score_gpt":0.3369635303648237,"score_spread":0.2559161686442923,"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."}}