{"id":"W4389325579","doi":"10.48550/arxiv.2312.00177","title":"Mechanical control of quantum transport in graphene","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Graphene research and applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Graphene; Bilayer graphene; Quantum; Ballistic conduction; Condensed matter physics; Materials science; Work (physics); Conductivity; Nanotechnology; Scalar (mathematics); Physics; Quantum mechanics","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":[0.000101575,0.0001875244,0.0000990518,0.0001443676,0.0002885732,0.0003337529,0.000273274,0.0002328462,0.0009966614],"category_scores_gemma":[0.0003112268,0.00009902233,0.00006508314,0.0001209314,0.0006831666,0.0003585036,0.0003119974,0.0002774802,0.0001076269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003063108,"about_ca_system_score_gemma":0.0001323769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003415779,"about_ca_topic_score_gemma":0.0005420553,"domain_scores_codex":[0.9998981,0.00001858613,0.000004185983,0.00002051279,0.00004297744,0.00001564445],"domain_scores_gemma":[0.9999113,0.00003837138,0.00001928011,0.00001558302,0.000008471431,0.0000069232],"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":[0.00005231917,0.00004218012,0.0004854987,0.00006805296,0.00000777908,0.00007323499,0.00006940225,0.005223101,0.9727475,0.0146351,0.0001872886,0.006408623],"study_design_scores_gemma":[0.00004315523,0.0002594255,0.004457329,0.00001372596,0.000006892738,0.0001160311,0.00009351029,0.08743364,0.8902476,0.01336884,0.003909518,0.00005030325],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861414,0.0004301531,0.007450056,0.0002718889,0.00005421375,0.000009654967,0.00007033601,0.0000756408,0.005496749],"genre_scores_gemma":[0.9982139,0.0001209359,0.001258363,0.00001966781,0.000008585413,0.000007064445,0.00001445913,0.000009722445,0.0003473927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009966614,"threshold_uncertainty_score":0.003334105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09536616708935412,"score_gpt":0.2241539001568821,"score_spread":0.1287877330675279,"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."}}