{"id":"W4412200950","doi":"10.3390/bios15070447","title":"Dual-Oriented Targeted Nanostructured SERS Label-Free Immunosensor for Detection, Quantification, and Analysis of Breast Cancer Biomarker Concentrations in Blood Serum","year":2025,"lang":"en","type":"article","venue":"Biosensors","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Toronto","funders":"","keywords":"Biomarker; Breast cancer; Cancer; Cancer detection; Chromatography; Chemistry; Medicine; Biomedical engineering; Internal medicine; Biochemistry","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":[0.0001478145,0.0001808111,0.0003012561,0.0003936513,0.0001138993,0.00001672625,0.00009684957,0.0002000381,0.000002511475],"category_scores_gemma":[0.0001691632,0.0001685597,0.0001328176,0.001365807,0.0001854393,0.0000068629,0.0000463108,0.00005297099,6.256996e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002258099,"about_ca_system_score_gemma":0.00006088831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001445395,"about_ca_topic_score_gemma":0.001032228,"domain_scores_codex":[0.9987587,0.00007406944,0.0004222895,0.0004431488,0.00009179028,0.0002100059],"domain_scores_gemma":[0.9989045,0.00002759137,0.000193341,0.0004419199,0.0003928484,0.00003979453],"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":[0.0001873157,0.00007598122,0.03342759,0.00002277512,0.001159915,5.074706e-7,0.00002338322,0.00002273668,0.9633905,0.0001162405,0.0001442912,0.001428711],"study_design_scores_gemma":[0.0007411295,0.00003758383,0.2324493,0.00001836281,0.000746711,0.000002542239,0.0001092717,0.0009185749,0.7642731,0.00003675288,0.0005190565,0.0001476405],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956998,0.0005013481,0.00150105,0.0005280361,0.0001047502,0.0003269285,0.001292928,0.00003098897,0.00001415897],"genre_scores_gemma":[0.9965774,0.0004257011,0.002291564,0.00008461151,0.00001838861,0.00002919386,0.0003223497,0.00001211389,0.0002386473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1991174,"threshold_uncertainty_score":0.6873666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007638748328275373,"score_gpt":0.2779063650856966,"score_spread":0.2702676167574212,"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."}}