{"id":"W4414016976","doi":"10.1039/d5lc00431d","title":"Rapid pan-cancer detection <i>via</i> label-free impedance profiling of cell-free DNA","year":2025,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"St Joseph's Health Centre","funders":"Science and Engineering Research Board; Council of Scientific and Industrial Research, India","keywords":"Profiling (computer programming); Cell-free fetal DNA; DNA profiling; DNA; Computational biology; Nanotechnology; Biology; Computer science; Materials science; 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":[0.0005383334,0.0006026496,0.000403071,0.0003494201,0.0001583261,0.0006203549,0.0005662671,0.00104217,0.001205598],"category_scores_gemma":[0.001157295,0.0002524887,0.0003113007,0.0002739193,0.0004877876,0.0005299483,0.0005731387,0.0007694378,0.0008150028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000285659,"about_ca_system_score_gemma":0.0001837663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002183663,"about_ca_topic_score_gemma":0.0004716012,"domain_scores_codex":[0.9992356,0.0001581043,0.00003804592,0.0002321142,0.000264538,0.0000715506],"domain_scores_gemma":[0.9995901,0.0001804792,0.000092645,0.00004842915,0.00005995123,0.00002842228],"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":[0.00004851625,0.00001291169,0.0006085099,0.00007033,0.00001358405,0.00003313762,0.00003208597,0.0001238491,0.9925276,0.0001205935,0.0001718965,0.006237029],"study_design_scores_gemma":[0.000004355888,0.00009319528,0.001498213,0.000005579482,0.00001033547,0.0002175942,0.0000215176,0.00228558,0.9940174,0.0001319634,0.001700153,0.00001414066],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5847645,0.004627313,0.4000521,0.001378011,0.0003782356,0.0001840003,0.001604429,0.002315707,0.00469572],"genre_scores_gemma":[0.8865318,0.002329386,0.1028246,0.000729759,0.0001014415,0.0002181668,0.0008973826,0.0001302994,0.006237074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001205598,"threshold_uncertainty_score":0.004033089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008007450041311497,"score_gpt":0.2396138140274732,"score_spread":0.2316063639861617,"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."}}