{"id":"W1866891130","doi":"10.1002/adma.201503125","title":"In Situ Tuning of Switching Window in a Gate‐Controlled Bilayer Graphene‐Electrode Resistive Memory Device","year":2015,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Resistive random-access memory; Materials science; Electrode; Optoelectronics; Graphene; Bilayer; Bilayer graphene; Gating; Voltage; Window (computing); Resistive touchscreen; Nanotechnology; Electrical engineering; Membrane","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001032534,0.0003115239,0.0002139655,0.0002132172,0.0002167409,0.0003676526,0.0005869301,0.0004279393,0.001144751],"category_scores_gemma":[0.0002237133,0.0001869728,0.0001485402,0.0002053921,0.0003390365,0.0004516982,0.0003717588,0.0004924276,0.0002426336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002145211,"about_ca_system_score_gemma":0.00009876263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002834971,"about_ca_topic_score_gemma":0.0004470175,"domain_scores_codex":[0.9999062,0.00000825971,0.000004990912,0.00002075319,0.00003621702,0.00002358949],"domain_scores_gemma":[0.9998876,0.00003704883,0.00003007967,0.00001699822,0.00001073552,0.00001757194],"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":[0.00003888048,0.00002285398,0.00005527944,0.00004903002,0.000004067223,0.0001217643,0.00004437814,0.0001237286,0.9968652,0.000360134,0.0001543446,0.002160347],"study_design_scores_gemma":[0.00002710393,0.0001400481,0.0006338288,0.000006309686,0.000008383908,0.0001332259,0.00002839574,0.00352633,0.9935429,0.0001317306,0.001802259,0.00001937892],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924999,0.0009119278,0.002770317,0.000255134,0.0001228379,0.00002073745,0.0002053507,0.00024911,0.002964754],"genre_scores_gemma":[0.9962676,0.0003360938,0.002708078,0.00005311364,0.00002261756,0.00001619444,0.00005182012,0.00002047598,0.0005241286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001144751,"threshold_uncertainty_score":0.003829539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01821136623286665,"score_gpt":0.2594899923630906,"score_spread":0.2412786261302239,"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."}}