{"id":"W2151616480","doi":"10.1039/c5ra16704c","title":"An AuNPs-functionalized AlGaN/GaN high electron mobility transistor sensor for ultrasensitive detection of TNT","year":2015,"lang":"en","type":"article","venue":"RSC Advances","topic":"GaN-based semiconductor devices and materials","field":"Physics and Astronomy","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq","funders":"Xidian University; Youth Innovation Promotion Association of the Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"High-electron-mobility transistor; Miniaturization; Materials science; Transistor; Optoelectronics; Sensitivity (control systems); Colloidal gold; Gallium nitride; Nanotechnology; Nanoparticle; Electronic engineering; Electrical engineering; Layer (electronics)","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":[0.0002003587,0.0001530069,0.0002840087,0.00003568149,0.00006780938,0.00001604459,0.00006446794,0.00003826075,0.00008513045],"category_scores_gemma":[0.00001207874,0.000137231,0.00009817245,0.00007141061,0.00005246581,0.0002693315,0.000002647452,0.00005146234,0.000003663342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004466041,"about_ca_system_score_gemma":0.0000678292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003888202,"about_ca_topic_score_gemma":0.00005390802,"domain_scores_codex":[0.9990535,0.0000749291,0.0002583244,0.0002773321,0.0001317054,0.0002042226],"domain_scores_gemma":[0.9992325,0.00008605774,0.0001697526,0.0001737664,0.0002383885,0.00009954187],"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":[0.0004971248,0.0001937084,0.000397623,0.00004256768,0.00005191387,1.897693e-7,0.0002270625,0.0005154912,0.992798,0.001595966,0.00001307412,0.003667278],"study_design_scores_gemma":[0.001163239,0.0004712477,0.0007427856,0.00001085488,0.00006387518,6.854014e-7,0.0008428682,0.00009344583,0.9827325,0.00546851,0.008235971,0.0001740135],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836683,0.0001324364,0.01479061,0.00002524413,0.0004667784,0.0004081057,0.0003147062,0.00003741789,0.0001563629],"genre_scores_gemma":[0.9982733,0.000003327925,0.001002992,0.00002306606,0.0003683197,0.00006499563,0.0001734331,0.00001803985,0.00007259948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01460489,"threshold_uncertainty_score":0.5596117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437654057951264,"score_gpt":0.2689075825896396,"score_spread":0.2545310420101269,"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."}}