{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000720564,0.0002545029,0.0007482758,0.0002748332,0.0000287715,0.00001646781,0.0001671692,0.00007966045,0.00001046575],"category_scores_gemma":[0.0003538889,0.0002497825,0.00004833306,0.0003878628,0.00001904772,0.0004933056,0.00005311976,0.0001796988,0.000006228133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001385141,"about_ca_system_score_gemma":0.00003469829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002493262,"about_ca_topic_score_gemma":0.0001326435,"domain_scores_codex":[0.9982684,0.000130018,0.0006886976,0.0002783611,0.0001883893,0.0004461804],"domain_scores_gemma":[0.9992709,0.0002055249,0.0001487077,0.0002220324,0.00007342415,0.00007948418],"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":[0.0006283119,0.00001649851,0.00003028077,0.00007568298,0.00001271069,0.00003966426,0.0004969954,0.140267,0.8578762,0.00008840901,0.000003482487,0.0004647519],"study_design_scores_gemma":[0.004805334,0.00005749294,0.000338034,0.0002478067,0.00001114047,0.000007775777,0.0002572138,0.0004180686,0.9907328,0.002820977,0.00004018236,0.0002632015],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959238,0.0005775455,0.001556056,0.00002572038,0.0004792032,0.0004480738,0.000003360308,0.0001249139,0.0008613229],"genre_scores_gemma":[0.9971083,0.00004595584,0.002573641,0.00006414705,0.00008048572,0.00005262079,0.000003505316,0.00004679984,0.00002452542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.139849,"threshold_uncertainty_score":0.9999955,"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."}}