{"id":"W3090126658","doi":"10.1364/cleo_qels.2020.ftu3c.4","title":"High-gain twin-beam generation in waveguides: from Maxwell’s equations to efficient simulation","year":2020,"lang":"en","type":"article","venue":"Conference on Lasers and Electro-Optics","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Xanadu Quantum Technologies (Canada)","funders":"","keywords":"Maxwell's equations; Beam (structure); Physics; Beam propagation method; Phase modulation; Phase (matter); Optics; Quantum mechanics; Refractive index","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":[0.0007078865,0.0004792077,0.000602436,0.0003911669,0.0004910998,0.0008255796,0.001118832,0.0009713633,0.002512422],"category_scores_gemma":[0.001122839,0.0004925519,0.0005914177,0.0005912971,0.0009688779,0.001290863,0.0008854003,0.001074484,0.0005325612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008361191,"about_ca_system_score_gemma":0.001056253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003819084,"about_ca_topic_score_gemma":0.003599062,"domain_scores_codex":[0.9998134,0.00005810463,0.000005822142,0.000009163272,0.00008562888,0.00002800532],"domain_scores_gemma":[0.9997436,0.0001385134,0.00002073846,0.00003122128,0.00004145254,0.00002443336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003570613,0.00005091123,0.0003156225,0.00007421916,0.00002560448,0.00009739832,0.0001156618,0.7914149,0.004532033,0.1925566,0.0009496039,0.009831767],"study_design_scores_gemma":[0.000008528777,0.000004211446,0.00002777249,0.000003728314,0.000001180988,0.00000710316,0.000006089292,0.9878815,0.0003827788,0.01099471,0.0006771732,0.000005142576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0400551,0.0003256985,0.9443533,0.0003094986,0.00008457945,0.00008626507,0.00009887075,0.0002692943,0.01441747],"genre_scores_gemma":[0.5243723,0.001089749,0.4591234,0.0002468078,0.00007805124,0.0006357857,0.0002372111,0.0005418021,0.01367474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003819084,"threshold_uncertainty_score":0.008404911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03217010393187616,"score_gpt":0.2445817828082365,"score_spread":0.2124116788763603,"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."}}