{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001140853,0.0001882481,0.0001765838,0.00009234551,0.0002342452,0.00003539049,0.0001398496,0.0002504669,0.00001072896],"category_scores_gemma":[0.00005874666,0.0001698538,0.0001487524,0.0001726537,0.00005864474,0.000007176843,0.0001107747,0.00004641131,0.000001448576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004976931,"about_ca_system_score_gemma":0.00004761051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009447931,"about_ca_topic_score_gemma":0.0003039913,"domain_scores_codex":[0.9989821,0.00003863198,0.0002309672,0.0004215413,0.00009187377,0.0002348451],"domain_scores_gemma":[0.9992195,0.0000209563,0.0001135266,0.000438779,0.000165699,0.00004151026],"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":[0.0002315826,0.00006582215,0.0003085569,0.00001840577,0.00007828693,0.000001549551,0.000003240001,0.000001769693,0.8935847,0.000003658996,0.002584883,0.1031175],"study_design_scores_gemma":[0.0004705733,0.0001438527,0.0008540397,0.0000286537,0.00008478441,0.00003555977,0.000009025107,0.000018485,0.9551786,0.0001788863,0.042801,0.0001966112],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894195,0.0005638347,0.007960305,0.0005736765,0.0006845285,0.000341164,0.0002631677,0.00009223659,0.0001015522],"genre_scores_gemma":[0.9954287,0.001283267,0.001424197,0.0002723263,0.0004735854,0.0002943132,0.000128546,0.00002190231,0.000673138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1029209,"threshold_uncertainty_score":0.6926438,"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."}}