{"id":"W4385652613","doi":"10.1016/j.trac.2023.117223","title":"Recent advances in nanomaterials based biosensors","year":2023,"lang":"en","type":"article","venue":"TrAC Trends in Analytical Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Ministry of Science, ICT and Future Planning; National Research Foundation of Korea; Deanship of Scientific Research, King Khalid University","keywords":"Biosensor; Nanotechnology; Graphene; Materials science; Nanomaterials; Field-effect transistor; Quantum dot; Transistor; Electrical engineering; Engineering; Voltage","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":[0.0002872098,0.0002125395,0.0002880898,0.0001885685,0.00002697016,0.00001882621,0.0001739627,0.000249344,0.00006542692],"category_scores_gemma":[0.0001578862,0.0001953579,0.0001190691,0.001095478,0.0001303123,0.000005772498,0.00005247445,0.0001293622,0.000008389468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004178456,"about_ca_system_score_gemma":0.0000300883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002175037,"about_ca_topic_score_gemma":0.00003249931,"domain_scores_codex":[0.9984739,0.00004474538,0.0004009627,0.000521848,0.00016368,0.0003948635],"domain_scores_gemma":[0.9994324,0.00002620741,0.00006871256,0.000351212,0.00003529435,0.00008620224],"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":[0.0001800123,0.000203706,0.003191404,0.00004740036,0.00001979235,0.0001007187,0.000006808633,0.0003180455,0.9297922,0.00001322921,0.001319926,0.06480682],"study_design_scores_gemma":[0.0005289163,0.00004484075,0.002633402,0.00003855165,0.00001553139,0.00000608156,0.00003544093,0.001651801,0.9456878,0.00007630753,0.04896236,0.0003189644],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900366,0.0006634393,0.00002977545,0.0005721416,0.00004328597,0.0000466399,0.00003986684,0.0001147662,0.00845346],"genre_scores_gemma":[0.99512,0.002332564,0.0004758491,0.00009148223,0.0001019523,0.00001103801,0.0004201941,0.00002093858,0.001425972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06448785,"threshold_uncertainty_score":0.7966465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01854353813576555,"score_gpt":0.3255282666926829,"score_spread":0.3069847285569173,"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."}}