{"id":"W2972228362","doi":"10.1103/physrevb.101.085423","title":"Dispersive Landau levels and valley currents in strained graphene nanoribbons","year":2020,"lang":"en","type":"article","venue":"Physical review. B./Physical review. B","topic":"Graphene research and applications","field":"Materials Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research; Simons Foundation; Heising-Simons Foundation; National Science Foundation","keywords":"Ribbon; Zigzag; Condensed matter physics; Graphene; Physics; Charge (physics); Electric field; Landau quantization; Fermi energy; Anomaly (physics); Electron; Dirac (video compression format); Geometry; Quantum mechanics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003878011,0.0004303498,0.001287525,0.00004442492,0.0001432298,0.00006396409,0.0006499211,0.0000330823,0.0001502516],"category_scores_gemma":[0.0009297024,0.0003304854,0.0004288973,0.001222859,0.0002847258,0.0002950022,0.0003106154,0.0004502543,0.000691334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003939918,"about_ca_system_score_gemma":0.0001042276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000321432,"about_ca_topic_score_gemma":0.000008667092,"domain_scores_codex":[0.9966467,0.0003695939,0.0005803569,0.0009153503,0.0007590113,0.0007289761],"domain_scores_gemma":[0.9979795,0.0003548904,0.0002038241,0.0005358298,0.0001469045,0.0007790957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005924444,0.002032487,0.001534435,0.01541313,0.00008131895,0.00004415425,0.000549797,0.000005587579,0.5047667,0.424212,0.01483093,0.03647025],"study_design_scores_gemma":[0.006456304,0.002573231,0.03702917,0.05016547,0.001781204,0.00003795788,0.0001895134,0.01374711,0.08181476,0.6684005,0.1319851,0.005819658],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.906736,0.06330674,0.002751406,0.02249476,0.00007484235,0.003103359,0.0004013723,0.0001471303,0.0009844641],"genre_scores_gemma":[0.92613,0.06975371,0.0001570216,0.003154151,0.0003043746,0.0004077365,0.00004929148,0.00003389785,0.000009820304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4229519,"threshold_uncertainty_score":0.9999147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04624984434682192,"score_gpt":0.4017282236816842,"score_spread":0.3554783793348623,"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."}}