{"id":"W4383533747","doi":"10.1007/s11468-023-01929-3","title":"Glass-Based Nanobiosensor Immobilized with Oriented Antibody-Conjugated Gold Nanourchin for Targeted Detection of Breast Cancer Biomarker in Serum Using FT-NIR and SERS","year":2023,"lang":"en","type":"article","venue":"Plasmonics","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; University of Toronto; Canadian Institute for Advanced Research","funders":"","keywords":"Conjugated system; Substrate (aquarium); Materials science; Nitrocellulose; Linker; Chemistry; Conjugate; Raman spectroscopy; Rhodamine 6G; Analytical Chemistry (journal); Molecule; Chromatography; Biochemistry; Polymer; Optics; Biology; Organic chemistry","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":[0.0001848975,0.0003414949,0.0002280633,0.0002707824,0.0002237035,0.0002727926,0.0004805473,0.0005257637,0.0005917986],"category_scores_gemma":[0.0001183975,0.0002957405,0.0002205816,0.0001797421,0.0002116677,0.0002208402,0.0002282739,0.0002750511,0.0003469695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003733535,"about_ca_system_score_gemma":0.0002983078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008988017,"about_ca_topic_score_gemma":0.002107191,"domain_scores_codex":[0.9998156,0.00001941646,0.00001180954,0.00005489357,0.00006367462,0.00003464073],"domain_scores_gemma":[0.9999505,0.00001036105,0.00001045255,0.000005279194,0.00001154946,0.00001179776],"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":[0.00003209103,0.000009804185,0.00009331459,0.00001990105,0.000003505495,0.00002244821,0.00001183598,0.00004791094,0.9987947,0.00006419941,0.00003552817,0.0008647119],"study_design_scores_gemma":[0.000003512943,0.00005216358,0.000586796,0.000001248045,0.000007170765,0.00003480063,0.000009500218,0.001184257,0.9976423,0.00001615778,0.0004584344,0.000003542143],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727686,0.001641105,0.02181095,0.0002657845,0.0001629037,0.00005087518,0.0001495804,0.0003944916,0.002755645],"genre_scores_gemma":[0.9766732,0.0006755781,0.01871638,0.0001892119,0.0000258049,0.00003651802,0.0001831051,0.00002218416,0.003477906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008988017,"threshold_uncertainty_score":0.002708852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01772414287952367,"score_gpt":0.2768333769073084,"score_spread":0.2591092340277847,"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."}}