{"id":"W2937885636","doi":"10.1103/physrevlett.122.153906","title":"Strong Nonlinear Coupling in a <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:msub><mml:mrow><mml:mi>Si</mml:mi></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow></mml:msub></mml:mrow><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant=\"normal\">N</mml:mi></mml:mrow><mml:mrow><mml:mn>4</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math> Ring Resonator","year":2019,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Coupling (piping); Nonlinear system; Resonator; Physics; Mixing (physics); Nonlinear optics; Dissipation; Optoelectronics; Materials science; Quantum mechanics","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":[0.0004869091,0.0003579574,0.0002521136,0.000242083,0.000463375,0.0004394567,0.0006679778,0.0002540292,0.004661809],"category_scores_gemma":[0.0004514309,0.0002993374,0.0002809469,0.000181078,0.0006085415,0.0005251552,0.0006444631,0.0004212742,0.001010712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004160842,"about_ca_system_score_gemma":0.0003632189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000512224,"about_ca_topic_score_gemma":0.0009471172,"domain_scores_codex":[0.9997805,0.00003668472,0.00001059034,0.00006123914,0.00007465683,0.00003636398],"domain_scores_gemma":[0.9996747,0.0001356903,0.00009674708,0.00003529325,0.00002798745,0.00002959542],"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":[0.00008635166,0.00003737503,0.0008284385,0.00008083661,0.00002067339,0.0002135517,0.000151471,0.003583484,0.97542,0.016328,0.0002766771,0.002973077],"study_design_scores_gemma":[0.00007085929,0.0004968896,0.001886791,0.0000139607,0.00004773952,0.000232873,0.00006806684,0.07398597,0.9145029,0.003698865,0.004947762,0.000047315],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9651275,0.000220158,0.02223136,0.000223861,0.00006034856,0.00003368939,0.00005647719,0.0002106209,0.01183596],"genre_scores_gemma":[0.9835072,0.0001371482,0.01261775,0.00002670425,0.00001771397,0.00002419251,0.0000243844,0.00002728944,0.003617608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004661809,"threshold_uncertainty_score":0.01559526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0147868204292382,"score_gpt":0.2431222477100668,"score_spread":0.2283354272808286,"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."}}