{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003923599,0.0004682736,0.0004554653,0.000283786,0.0001306579,0.0003080264,0.0006559488,0.0006987206,0.000431365],"category_scores_gemma":[0.0004452333,0.0003552467,0.0003161206,0.000265022,0.000219544,0.0002741576,0.0003567774,0.0004559822,0.0005598528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003862079,"about_ca_system_score_gemma":0.0002349592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003381491,"about_ca_topic_score_gemma":0.0007054685,"domain_scores_codex":[0.9995524,0.00006320073,0.0000268227,0.0001342376,0.0001900962,0.00003326356],"domain_scores_gemma":[0.9998739,0.00002801877,0.00002376982,0.00001573614,0.00004222554,0.00001644406],"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":[0.00002308011,0.000007315252,0.00004228661,0.00002563421,0.000002035083,0.00001440682,0.000006249707,0.00008526405,0.9984801,0.00003497548,0.00002814989,0.001250548],"study_design_scores_gemma":[0.000006835784,0.00006184414,0.0004632289,0.000003786574,0.000006522925,0.00009200935,0.000005841211,0.004787931,0.9937482,0.00003264979,0.0007830617,0.000007999712],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7615872,0.003750978,0.2273675,0.000359343,0.0002092259,0.0001962851,0.000895913,0.00156567,0.00406783],"genre_scores_gemma":[0.8028078,0.001431777,0.1889803,0.00028579,0.00004604354,0.0002698175,0.0006431768,0.00008890135,0.005446406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006987206,"threshold_uncertainty_score":0.002802134,"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."}}