{"id":"W4323035662","doi":"10.1016/j.aca.2023.341036","title":"An ultrasensitive FET biosensor based on vertically aligned MoS2 nanolayers with abundant surface active sites","year":2023,"lang":"en","type":"article","venue":"Analytica Chimica Acta","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Major Basic Research Project of the Natural Science Foundation of the Jiangsu Higher Education Institutions; University of Liverpool; China Scholarship Council; University of Toronto; Canada Foundation for Innovation","keywords":"Biosensor; Nanotechnology; Molybdenum disulfide; Nanomaterials; Chemistry; Detection limit; Fabrication; Field-effect transistor; Surface modification; Chemical vapor deposition; Characterization (materials science); Materials science; Transistor; Chromatography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001803483,0.0004648597,0.0003622927,0.0002238609,0.0001882944,0.000356782,0.0006113586,0.0006687505,0.0003500132],"category_scores_gemma":[0.0002424873,0.000324174,0.000160846,0.0002508001,0.0001755138,0.0005466327,0.0002888624,0.0003408343,0.000241945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003528699,"about_ca_system_score_gemma":0.0002227842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007611024,"about_ca_topic_score_gemma":0.002344947,"domain_scores_codex":[0.9998332,0.00001475067,0.00001012943,0.00004976791,0.00006796235,0.0000241868],"domain_scores_gemma":[0.9998906,0.00002650588,0.00001566508,0.00001236225,0.0000345346,0.00002038321],"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":[0.00001321589,0.000003157785,0.00003271957,0.00001493369,0.000001833822,0.00001958307,0.000003559214,0.00001840146,0.9993825,0.00004929992,0.00003544032,0.0004253828],"study_design_scores_gemma":[0.000006708698,0.00007592659,0.0009951238,0.000002467771,0.00000896609,0.0001359773,0.000009244433,0.002322332,0.9951804,0.00004815085,0.001205799,0.00000888809],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.958949,0.002395825,0.03277718,0.0004442909,0.000370996,0.00007919439,0.000896733,0.0007187948,0.003367927],"genre_scores_gemma":[0.9552945,0.0008508394,0.03937335,0.000189269,0.00007528191,0.00005099209,0.0004028067,0.00003762109,0.003725304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007611024,"threshold_uncertainty_score":0.002560318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00939171902879048,"score_gpt":0.2674929648706811,"score_spread":0.2581012458418906,"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."}}