{"id":"W2888533193","doi":"10.1063/1.5053715","title":"Intraband divergences in third order optical response of 2D systems","year":2018,"lang":"en","type":"article","venue":"APL Photonics","topic":"Graphene research and applications","field":"Materials Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Key Research and Development Program of China; Young Scientists Fund; Chinese Academy of Sciences; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Degenerate energy levels; Nonlinear system; Mixing (physics); Relaxation (psychology); Excited state; Optical conductivity; Dispersion (optics); Nonlinear optics; Photon","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":[0.0009051004,0.00006665666,0.0001332995,0.00007104922,0.00007009417,0.0000338738,0.0002819411,0.00005204932,0.0001912155],"category_scores_gemma":[0.0002598263,0.00005415502,0.00002213873,0.0003872715,0.0003294957,0.00007552387,0.00008233517,0.00006918712,0.0001454442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001979049,"about_ca_system_score_gemma":0.0001404633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003031214,"about_ca_topic_score_gemma":0.0001161014,"domain_scores_codex":[0.99899,0.0001022609,0.0002158676,0.0001868724,0.0002538865,0.0002511399],"domain_scores_gemma":[0.9992528,0.0001906015,0.00004773327,0.0002701443,0.0001583186,0.00008040723],"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":[0.0003056833,0.0001116869,0.001383392,0.00002543425,0.000004820809,0.000003649428,0.0003804116,0.00002367841,0.9838642,0.01297048,0.0008398737,0.00008661251],"study_design_scores_gemma":[0.0004258476,0.0003753706,0.009008422,0.00005785021,0.000007513377,0.00000777278,0.0005439054,0.003268505,0.9784849,0.002382477,0.005267905,0.000169554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977568,0.0001598256,0.0002915644,0.0001295474,0.0001279173,0.0002094146,0.00002137831,0.00001928088,0.001284219],"genre_scores_gemma":[0.998409,0.00005740542,0.001329848,0.00001870767,0.00002162459,0.00004497055,0.000001450251,0.000005232662,0.0001117143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.010588,"threshold_uncertainty_score":0.2208378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02010696714941325,"score_gpt":0.2961957167032432,"score_spread":0.27608874955383,"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."}}