{"id":"W2010838883","doi":"10.1063/1.3119629","title":"Continuous wave second-harmonic generation using domain-disordered quasi-phase matching waveguides","year":2009,"lang":"en","type":"article","venue":"Applied Physics Letters","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Engineering and Physical Sciences Research Council","keywords":"Bistability; Second-harmonic generation; Optical bistability; Superlattice; Harmonic; Quasi-phase-matching; Physics; Wavelength; Phase (matter); Nonlinear optics; Optics; Resonance (particle physics); Domain (mathematical analysis); Surface second harmonic generation; Phase matching; Power (physics); Condensed matter physics; Optoelectronics; Atomic physics; Quantum mechanics; Mathematics; Mathematical analysis","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":[0.0001725643,0.0003075524,0.0001722021,0.0001551523,0.0001675779,0.0003729634,0.000261274,0.0002288505,0.0004440693],"category_scores_gemma":[0.0002238405,0.0002160448,0.0001015267,0.0002073553,0.0004129683,0.0002758706,0.0002937932,0.0002384142,0.0001139094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003303646,"about_ca_system_score_gemma":0.0002306105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005114567,"about_ca_topic_score_gemma":0.001166988,"domain_scores_codex":[0.9999063,0.00001428253,0.000003641025,0.00001821746,0.00003940304,0.00001803519],"domain_scores_gemma":[0.9998011,0.00007103782,0.00005090695,0.00002349779,0.00002457969,0.00002893327],"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":[0.000055142,0.00001327645,0.000201065,0.00002236784,0.000002380907,0.00003526992,0.0000260235,0.000353989,0.997583,0.0006123852,0.00003690581,0.001058081],"study_design_scores_gemma":[0.00004397593,0.0001219338,0.0007016639,0.000002179919,0.000004827285,0.0000624692,0.00001610042,0.01351008,0.9846485,0.0002090744,0.0006722112,0.000007045972],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890316,0.0001368874,0.009671748,0.00005176772,0.00001908277,0.00001467771,0.00004588943,0.00005786524,0.0009705319],"genre_scores_gemma":[0.990855,0.0001138909,0.008099587,0.00001590633,0.00001013696,0.00001372138,0.00004216747,0.00001034807,0.0008391831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005114567,"threshold_uncertainty_score":0.002396941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0180352205488889,"score_gpt":0.2339896144412593,"score_spread":0.2159543938923704,"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."}}