{"id":"W4402452650","doi":"10.11159/icbes24.159","title":"DNA-Origami Based Biosensor for Assembly of Antibody-Protected Bimetallic Nanoclusters as Biorecognition and Transduction Element","year":2024,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Biosensor; Bimetallic strip; Nanoclusters; Nanotechnology; Transduction (biophysics); DNA origami; Nanobiotechnology; Materials science; Aptamer; DNA; Nanosensor; Molecular biophysics; Nanoparticle; Cell biology; Chemistry; Biophysics; Nanostructure; Molecular biology; Biology; Biochemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001785435,0.0004031787,0.0002937392,0.0001951828,0.0001347444,0.0002976731,0.0008494504,0.000834149,0.0009949977],"category_scores_gemma":[0.000209504,0.0002137224,0.0002697473,0.000223521,0.0001631816,0.0004222057,0.0002575758,0.0006103233,0.0006438685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005929173,"about_ca_system_score_gemma":0.0002590258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000467322,"about_ca_topic_score_gemma":0.0008955896,"domain_scores_codex":[0.9998319,0.00001345859,0.00001220399,0.00005333941,0.00006532353,0.00002380166],"domain_scores_gemma":[0.9999251,0.00001395661,0.00002166298,0.00000569579,0.00002243604,0.00001108805],"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":[0.00001726507,0.00001375766,0.00002665336,0.00003992255,0.00000257348,0.00003697391,0.000009678594,0.0001072776,0.9981206,0.0001704468,0.0000738885,0.001380923],"study_design_scores_gemma":[0.0000034034,0.0000661722,0.0001731546,0.000002095867,0.000005342416,0.00004562567,0.0000035616,0.002502736,0.9959503,0.00002856914,0.001214879,0.00000408426],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8434355,0.008533958,0.1365281,0.000851924,0.0007237297,0.0002881759,0.0006833782,0.001081321,0.007874037],"genre_scores_gemma":[0.8758429,0.002801218,0.1101349,0.000539796,0.00007418422,0.000218149,0.0007114945,0.00006218004,0.00961517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009949977,"threshold_uncertainty_score":0.004301965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0104682211187519,"score_gpt":0.2501607583065399,"score_spread":0.239692537187788,"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."}}