{"id":"W2749789893","doi":"10.1109/ted.2017.2738838","title":"Strain-Induced Armchair Graphene Nanoribbon Resonant-Tunneling Diodes","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Electron Devices","topic":"Graphene research and applications","field":"Materials Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Resonant-tunneling diode; Quantum tunnelling; Diode; Materials science; Graphene; Graphene nanoribbons; Non-equilibrium thermodynamics; Condensed matter physics; Strain (injury); Strain engineering; Formalism (music); Optoelectronics; Nanotechnology; Quantum well; Physics; Quantum mechanics; Silicon","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004219849,0.0002479562,0.0002420033,0.0001929405,0.002108405,0.0004277077,0.0008333138,0.0001106389,0.0002387378],"category_scores_gemma":[0.00001333752,0.0002232618,0.0001646643,0.0001951196,0.0001609196,0.0004853393,0.000003589857,0.0003347497,0.0001896713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006024223,"about_ca_system_score_gemma":0.000127198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004234237,"about_ca_topic_score_gemma":0.001368128,"domain_scores_codex":[0.9978396,0.00008392453,0.000286807,0.0005549646,0.0004684765,0.0007662086],"domain_scores_gemma":[0.9984702,0.0001068677,0.0001738553,0.0009100895,0.0001181554,0.0002208118],"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":[0.00005714708,0.0002068444,0.00004067394,0.00002112097,0.00002394777,0.000003405833,0.00007526854,0.0002082102,0.9827757,0.0005862269,0.00004129955,0.01596011],"study_design_scores_gemma":[0.0004589428,0.0002593182,0.001222681,0.0000504574,0.00002998534,0.000007877535,0.00007802431,0.0005674742,0.995343,0.001059694,0.0006459586,0.0002766041],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9554601,0.0001664947,0.04147274,0.001174018,0.0002905215,0.0003690918,0.00009681623,0.000217632,0.0007526258],"genre_scores_gemma":[0.9984974,0.0001831094,0.0006254495,0.00008391581,0.0001031413,0.0002034614,0.000004393476,0.00003191647,0.0002672439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04303731,"threshold_uncertainty_score":0.9991907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03331875668271493,"score_gpt":0.3110425305180413,"score_spread":0.2777237738353264,"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."}}