{"id":"W2770003543","doi":"10.1109/pn.2017.8090599","title":"Spectrally-dependent Z-scan measurement of the nonlinear refractive index of graphene","year":2017,"lang":"en","type":"article","venue":"","topic":"Nonlinear Optical Materials Studies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Graphene; Refractive index; Nonlinear system; Excitation; Index (typography); Nonlinear optics; Facet (psychology); Optoelectronics; Range (aeronautics); Nonlinear optical; Materials science; Physics; Optics; Computer science; Nanotechnology; Quantum mechanics; Composite material","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":[0.0001016458,0.0002502846,0.0001089562,0.0004316535,0.0001782903,0.0002052853,0.0004040824,0.000371918,0.001631613],"category_scores_gemma":[0.0004179105,0.000141078,0.0001187483,0.0004341367,0.000413249,0.0003604402,0.000288473,0.0003822852,0.000473154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002091585,"about_ca_system_score_gemma":0.0001359119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000901491,"about_ca_topic_score_gemma":0.002513286,"domain_scores_codex":[0.9998593,0.00001854265,0.00000420777,0.00003131833,0.00006980401,0.00001679295],"domain_scores_gemma":[0.9996413,0.0001598857,0.00007940103,0.00002541529,0.00007870824,0.00001537711],"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":[0.0000643696,0.00001516503,0.000777249,0.00004255767,0.000006286225,0.00004050311,0.00005720102,0.0001035308,0.9954568,0.0001898284,0.00007215539,0.003174327],"study_design_scores_gemma":[0.000003065677,0.00005232495,0.004962747,0.00000480472,0.000005055039,0.000116138,0.00007535439,0.001212901,0.9930575,0.00004478079,0.0004575074,0.000007745612],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870203,0.0005274605,0.007745909,0.0001074363,0.00001618856,0.00001594351,0.0003227548,0.0001321446,0.004111821],"genre_scores_gemma":[0.9848338,0.0010449,0.01155633,0.00008071485,0.00001002204,0.00002453529,0.000254208,0.00002623436,0.002169249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001631613,"threshold_uncertainty_score":0.005458295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01862881219284269,"score_gpt":0.2326185063051241,"score_spread":0.2139896941122814,"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."}}