{"id":"W4400052907","doi":"10.1007/s11468-024-02402-5","title":"Graphene/Titanium Nitride Hybrid Nano-cuboid Plasmonic Metamaterial–Based Biosensor for Highly Sensitive and Tunable Infrared Detection","year":2024,"lang":"en","type":"article","venue":"Plasmonics","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Materials science; Plasmon; Metamaterial; Cuboid; Nano-; Biosensor; Optoelectronics; Infrared; Nanotechnology; Titanium nitride; Graphene; Nitride; Optics; Layer (electronics); Composite material; Physics","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":[0.0001216254,0.0003188699,0.0002197932,0.0003083198,0.0001859158,0.0003164055,0.0006505924,0.0005850114,0.0009052253],"category_scores_gemma":[0.0001397966,0.0001837411,0.0002114906,0.000199653,0.0002262013,0.0003088435,0.0003441435,0.0003711154,0.0004372933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006224001,"about_ca_system_score_gemma":0.0002206697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008114293,"about_ca_topic_score_gemma":0.002573727,"domain_scores_codex":[0.9998298,0.00001835615,0.000006737284,0.00003778775,0.00007469262,0.00003247699],"domain_scores_gemma":[0.9999274,0.00001138653,0.00001690989,0.000009913177,0.00002173717,0.0000127253],"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":[0.00002498151,0.00000799039,0.00002489456,0.00002252383,0.000003520874,0.00002033659,0.000005371708,0.00009661945,0.9987967,0.00009812694,0.00009412615,0.0008047302],"study_design_scores_gemma":[0.000005043179,0.00004739837,0.0003064607,0.000002512548,0.000008223463,0.00005897984,0.00001167589,0.004641467,0.9937955,0.00003859027,0.001073968,0.00001015915],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9547331,0.002054655,0.03395838,0.0004425653,0.0002407734,0.00006582084,0.0003525685,0.0008361193,0.007315893],"genre_scores_gemma":[0.9728548,0.0004235914,0.02223884,0.0001634701,0.00001974748,0.00003326398,0.0001978619,0.00003502514,0.004033449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009052253,"threshold_uncertainty_score":0.004515886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007207947014317441,"score_gpt":0.2385294941995551,"score_spread":0.2313215471852376,"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."}}