{"id":"W1979563063","doi":"10.1049/mnl.2009.0052","title":"Low-frequency noise and hysteresis in graphene field-effect transistors on oxide","year":2010,"lang":"en","type":"article","venue":"Micro & Nano Letters","topic":"Graphene research and applications","field":"Materials Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Graphene; Hysteresis; Materials science; Bilayer graphene; Oxide; Flicker noise; Condensed matter physics; Noise (video); Transistor; Field-effect transistor; Silicon; Optoelectronics; Nanotechnology; Voltage; 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":[0.0001663072,0.0002986689,0.0002551871,0.0004538255,0.0001984518,0.0002478498,0.0003359283,0.0004877327,0.0004447065],"category_scores_gemma":[0.0007136808,0.0001317935,0.000131596,0.0002688017,0.0004577274,0.0003514624,0.0001643427,0.0002449838,0.00008550348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001671679,"about_ca_system_score_gemma":0.00005040818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004505814,"about_ca_topic_score_gemma":0.0007106087,"domain_scores_codex":[0.9998198,0.00001760243,0.000008808021,0.00003846448,0.0000895444,0.0000258446],"domain_scores_gemma":[0.9996222,0.0002133286,0.00005348805,0.00002065979,0.00005920813,0.00003098043],"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":[0.0002483299,0.00003672945,0.001840919,0.00005891697,0.00001322858,0.0002130615,0.0001423005,0.0002730468,0.9926159,0.00014687,0.00003480662,0.004375871],"study_design_scores_gemma":[0.00002743347,0.0006759366,0.02359,0.0000135277,0.00002710863,0.0006441675,0.0001018045,0.005811261,0.9676679,0.0004975721,0.0009108234,0.00003229765],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974425,0.0004508145,0.001624968,0.00004312626,0.00001462152,0.000005133587,0.00003938801,0.00002806268,0.0003514272],"genre_scores_gemma":[0.9985637,0.0001440964,0.0008754921,0.00001769761,0.00001341418,0.000002903541,0.00004140658,0.000004606539,0.0003366829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004877327,"threshold_uncertainty_score":0.001487732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005318064454931547,"score_gpt":0.2297287272300188,"score_spread":0.2244106627750873,"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."}}