{"id":"W4417047712","doi":"10.1021/acsnano.5c11295","title":"Homogeneous Extraction-Free Dual-ctDNA Detection via DNA Nanomaterial Fusion for Rapid Breast Cancer Diagnosis","year":2025,"lang":"en","type":"article","venue":"ACS Nano","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research","funders":"West China Hospital, Sichuan University; Sichuan Province Science and Technology Support Program; Natural Science Foundation of Sichuan Province; National Natural Science Foundation of China","keywords":"Breast cancer; Homogeneous; DNA; Concordance; Cancer; Multiplex; Multiplexing; Circulating tumor DNA","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":[0.0004536341,0.0004647512,0.0003189699,0.000450684,0.0001569864,0.0003204281,0.0004159935,0.0008243148,0.000408815],"category_scores_gemma":[0.0007540912,0.0002791864,0.0002749232,0.0002787133,0.0003273467,0.0003385473,0.0004347683,0.0004514907,0.0003273679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000545859,"about_ca_system_score_gemma":0.0003337385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003431202,"about_ca_topic_score_gemma":0.0005360229,"domain_scores_codex":[0.9995215,0.0001087067,0.0000257236,0.0001293837,0.0001716938,0.00004299322],"domain_scores_gemma":[0.9997337,0.00009745846,0.00007134057,0.00002400945,0.00004732709,0.00002606168],"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":[0.00004612121,0.0000192741,0.0002431177,0.00005714115,0.0000081487,0.00004722576,0.00002221462,0.0002899933,0.9933183,0.00009715654,0.00008659282,0.005764677],"study_design_scores_gemma":[0.000007050553,0.0001029514,0.0005221125,0.00000371055,0.00001221844,0.0002092328,0.000008527411,0.004225983,0.9933402,0.00006872861,0.001487419,0.00001185278],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7298339,0.01039878,0.2543766,0.000729079,0.0002266538,0.0003177797,0.0006618089,0.0009995233,0.002455815],"genre_scores_gemma":[0.9061788,0.001724622,0.08933204,0.0003162401,0.00005193008,0.0002037856,0.0003142857,0.00002716056,0.001851079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008243148,"threshold_uncertainty_score":0.00396049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00549447514404467,"score_gpt":0.2661673772168244,"score_spread":0.2606729020727798,"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."}}