{"id":"W2613189048","doi":"10.1149/ma2017-01/12/768","title":"Enhancing the Ion Detection of Graphene Field Effect Transistors at the Quantum Capacitance Limit","year":2017,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Graphene research and applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; McGill University","funders":"","keywords":"Graphene; Materials science; Transconductance; Optoelectronics; Tantalum pentoxide; Field-effect transistor; Quantum capacitance; Capacitance; Detection limit; Nanotechnology; Hysteresis; Electron mobility; Oxide; Transistor; Analytical Chemistry (journal); Dielectric; Chemistry; Voltage; Condensed matter physics; Electrode; Electrical engineering","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":[0.0002279237,0.0005749646,0.0002803376,0.0003630847,0.0002128679,0.0003988915,0.0007126945,0.0008554192,0.001375022],"category_scores_gemma":[0.0005249655,0.0002295886,0.0001868401,0.0002151887,0.0004346158,0.0006971812,0.0003437888,0.0004410843,0.0003891299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004235533,"about_ca_system_score_gemma":0.0001513964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007211373,"about_ca_topic_score_gemma":0.001235234,"domain_scores_codex":[0.9997686,0.00002690506,0.000008764418,0.00004530405,0.000106846,0.00004362919],"domain_scores_gemma":[0.9997448,0.0001254814,0.0000491252,0.00001670148,0.0000455965,0.00001828584],"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":[0.00001438222,0.000005658421,0.00007667069,0.00001891268,0.000001446086,0.00002801991,0.000009402866,0.00005424275,0.9989204,0.00007036256,0.00004280847,0.0007576597],"study_design_scores_gemma":[0.000003522706,0.00006396081,0.0005128013,0.00000252195,0.000004148229,0.00006112853,0.000008503217,0.001282427,0.9973029,0.00006419192,0.0006882383,0.00000561227],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743986,0.001483232,0.01843344,0.000473676,0.0001186306,0.000053334,0.0003467207,0.0005376643,0.004154663],"genre_scores_gemma":[0.9785938,0.0007746589,0.01871179,0.0001830907,0.00003287319,0.00003716158,0.0001108858,0.00002662688,0.001528985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001375022,"threshold_uncertainty_score":0.004599869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0180468117623238,"score_gpt":0.2693986853592858,"score_spread":0.251351873596962,"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."}}