{"id":"W2142129699","doi":"10.1109/cleo.2008.4551121","title":"Inherent enhancement of nonlinear generation terms in DC-induced three wave mixing coupled mode equations","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Fiber Laser Technologies","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Nonlinear system; Degeneracy (biology); Poling; Mixing (physics); Physics; Thermal; Mode (computer interface); Field (mathematics); Nonlinear optics; Four-wave mixing; Materials science; Quantum electrodynamics; Optoelectronics; Quantum mechanics; Mathematics; Computer science; Thermodynamics","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":[0.0002615427,0.000344667,0.0002385278,0.0003286648,0.0003046746,0.0005574743,0.0004138213,0.0003962224,0.001942009],"category_scores_gemma":[0.000857848,0.0002243289,0.0003045509,0.0002343701,0.0006418264,0.000599383,0.0006069648,0.0007112032,0.0002261494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006484499,"about_ca_system_score_gemma":0.000379993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007843961,"about_ca_topic_score_gemma":0.001074786,"domain_scores_codex":[0.999837,0.00002901799,0.000007304383,0.00001728952,0.00008701284,0.00002237944],"domain_scores_gemma":[0.9996436,0.000134768,0.00005953418,0.00004621006,0.0000823481,0.00003350615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009624828,0.0000594525,0.0009769812,0.0001657486,0.0000176204,0.0003412827,0.0003068786,0.02842516,0.3131802,0.6439106,0.0004536559,0.01206609],"study_design_scores_gemma":[0.00004358678,0.00009162457,0.00156004,0.00003185193,0.00002350418,0.0004442444,0.0000595963,0.8201912,0.07850055,0.09627116,0.002735794,0.0000468794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5770233,0.0007070769,0.3725449,0.0006426936,0.00009351497,0.0001283713,0.0001261145,0.0002311047,0.04850303],"genre_scores_gemma":[0.9646459,0.000350623,0.02772536,0.00005963238,0.00002324501,0.00005254009,0.00003397388,0.00004731904,0.007061478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001942009,"threshold_uncertainty_score":0.006496668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06568812981361119,"score_gpt":0.2881306015640107,"score_spread":0.2224424717503995,"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."}}