{"id":"W2985561811","doi":"10.1126/sciadv.aaw5593","title":"Room temperature strain-induced Landau levels in graphene on a wafer-scale platform","year":2019,"lang":"en","type":"article","venue":"Science Advances","topic":"Graphene research and applications","field":"Materials Science","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canada First Research Excellence Fund","keywords":"Graphene; Wafer; Strain (injury); Scale (ratio); Materials science; Landau quantization; Nanotechnology; Condensed matter physics; Optoelectronics; Physics; Biology; Quantum mechanics; Anatomy","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":[],"consensus_categories":[],"category_scores_codex":[0.000765817,0.0001360665,0.0001649273,0.0002641169,0.0002622813,0.0001701493,0.0007464179,0.00003992211,0.0001947733],"category_scores_gemma":[0.00005947178,0.0001010495,0.00003859356,0.001503072,0.0002586536,0.001278375,0.00007505232,0.0001816581,0.0003289396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005862382,"about_ca_system_score_gemma":0.0002274591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003702203,"about_ca_topic_score_gemma":0.000235448,"domain_scores_codex":[0.9978688,0.00002020828,0.0001866477,0.0005739706,0.0007221726,0.0006282042],"domain_scores_gemma":[0.9992053,0.00006137322,0.00005723749,0.0004213893,0.00008428424,0.0001704511],"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":[0.00001084604,0.00006548679,0.001058058,0.000008679944,4.071087e-7,0.000001366835,0.000146904,0.0001773397,0.992243,0.002736872,0.00000968999,0.003541344],"study_design_scores_gemma":[0.0004668694,0.0002074998,0.06425815,0.00006114723,9.221515e-7,0.000003176573,0.0005868264,0.0000572032,0.9277416,0.005823226,0.0005909968,0.000202332],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958276,0.00007679752,0.00001773914,0.0003807708,0.0002108524,0.000367322,0.00006270602,0.00004985671,0.003006342],"genre_scores_gemma":[0.9985857,0.00001678949,0.001001381,0.0001206094,0.00003592881,0.00005100985,0.00000338001,0.000006908489,0.0001783016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06450135,"threshold_uncertainty_score":0.4227963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02428131126752815,"score_gpt":0.3156315558244762,"score_spread":0.291350244556948,"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."}}