{"id":"W2967188913","doi":"10.1088/1361-648x/ab3c3c","title":"Photoinduced polarization enhancement on biased bilayer graphene in the Landau level regime","year":2019,"lang":"en","type":"article","venue":"Journal of Physics Condensed Matter","topic":"Graphene research and applications","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México; Corporación Ecuatoriana para el Desarrollo de la Investigación y la Academia; Centre National de la Recherche Scientifique; Université de Lorraine","keywords":"Landau quantization; Polarization (electrochemistry); Condensed matter physics; Bilayer graphene; Monochromatic color; Physics; Graphene; Quantization (signal processing); Bilayer; Materials science; Optics; Quantum mechanics; Chemistry; Membrane; Magnetic field","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":[0.00006099314,0.0002029591,0.0001310817,0.0001130269,0.0001522146,0.0001780919,0.0001634683,0.0001845328,0.001045183],"category_scores_gemma":[0.0001804535,0.00005969817,0.0001055414,0.0001344645,0.0002803737,0.0001835625,0.0002065816,0.0002366578,0.0001151729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001483924,"about_ca_system_score_gemma":0.00007359822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003492854,"about_ca_topic_score_gemma":0.0003154089,"domain_scores_codex":[0.999957,0.000006629122,0.000001049426,0.000008303268,0.00001232109,0.0000147127],"domain_scores_gemma":[0.999882,0.00004751506,0.00003486476,0.00001195595,0.00001271969,0.0000108963],"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":[0.00006596194,0.00001780482,0.0001922021,0.00004858666,0.000004368015,0.00009703594,0.00005386872,0.0006477243,0.9972457,0.0003203663,0.00003777609,0.001268611],"study_design_scores_gemma":[0.00001104149,0.0001459714,0.001514853,0.000004234612,0.000006882926,0.00005817067,0.00003742598,0.008446257,0.9893081,0.0001853771,0.0002748667,0.000006817766],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986241,0.0001011503,0.0005489446,0.00003560136,0.000007198867,0.000003788374,0.0000244053,0.00001853262,0.0006363994],"genre_scores_gemma":[0.9991087,0.0001217633,0.0004879614,0.000007500284,0.000003814682,0.000003565706,0.00001161267,0.000006106574,0.0002488905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001045183,"threshold_uncertainty_score":0.003496528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04019758686325185,"score_gpt":0.2872672972671931,"score_spread":0.2470697104039413,"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."}}