{"id":"W4285399025","doi":"10.1149/ma2022-018683mtgabs","title":"(Invited) Surface Functionalization of Graphene Field-Effect Transistors for Biosensing Applications","year":2022,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Graphene; Bioconjugation; Surface modification; Nanotechnology; Biosensor; Materials science; Bioanalysis; Aptamer; Analyte; Molecular recognition; Field-effect transistor; Biomolecule; Molecule; Chemistry; Transistor; 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":[0.0001790442,0.0005573552,0.0001650654,0.0002925447,0.0002305058,0.0003665709,0.0004548207,0.0008439597,0.01798194],"category_scores_gemma":[0.0001988795,0.0001013136,0.0002952841,0.0002458341,0.0001727194,0.0004573994,0.0004370454,0.000631711,0.010621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002520625,"about_ca_system_score_gemma":0.0001289905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005131349,"about_ca_topic_score_gemma":0.001100937,"domain_scores_codex":[0.9998376,0.00001350191,0.000004504255,0.00003780866,0.00007316167,0.00003330461],"domain_scores_gemma":[0.999949,0.000008366138,0.000006421923,0.00000386644,0.00002171908,0.00001059739],"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":[0.0002654995,0.00009268794,0.0004115672,0.001238013,0.00003126185,0.0004621077,0.0001055461,0.0008269178,0.6801597,0.003546455,0.1309024,0.1819579],"study_design_scores_gemma":[0.00002661794,0.0003394966,0.001550013,0.00006073264,0.00002539749,0.0005202346,0.00006895891,0.00167295,0.3575817,0.0007702272,0.6373432,0.00004044428],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1861576,0.1729826,0.1204579,0.0196735,0.07692371,0.000987128,0.005381839,0.00554803,0.4118877],"genre_scores_gemma":[0.4401194,0.06277809,0.03319669,0.006778168,0.008311517,0.0005813545,0.00337744,0.0005458322,0.4443115],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01798194,"threshold_uncertainty_score":0.06015563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00726689685227861,"score_gpt":0.2058063738171563,"score_spread":0.1985394769648777,"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."}}