{"id":"W2772110212","doi":"10.1109/oecc.2017.8114756","title":"Harnessing mode-selective nonlinear optics for optical and microwave signal processing","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced Photonic Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Photonics; Signal processing; Microwave; Silicon photonics; Nonlinear optics; SIGNAL (programming language); Computer science; Mode (computer interface); Optics; Optoelectronics; Electronic engineering; Physics; Telecommunications; Engineering; Radar; Laser","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002912051,0.0006977062,0.0003303486,0.0004301141,0.0002659033,0.000725296,0.0005621744,0.0006025071,0.001006227],"category_scores_gemma":[0.0001711627,0.0002682761,0.0003525062,0.0003691071,0.0005543013,0.001173796,0.0005506618,0.0007606329,0.0006792234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002693548,"about_ca_system_score_gemma":0.0001594181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000155828,"about_ca_topic_score_gemma":0.0005020713,"domain_scores_codex":[0.9998972,0.00001062794,0.000006670486,0.00001668005,0.00004731493,0.00002141894],"domain_scores_gemma":[0.9999236,0.00003668766,0.00001723272,0.00000415056,0.0000116827,0.000006565915],"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":[0.0000503382,0.0001548262,0.0005349745,0.004963067,0.00007529079,0.0006315373,0.0001997998,0.003148075,0.714786,0.05484441,0.003156267,0.2174554],"study_design_scores_gemma":[0.00001864999,0.0008730484,0.0009928426,0.0004502833,0.00009955395,0.002403503,0.0001434868,0.009300986,0.5146222,0.01163312,0.4593676,0.00009469727],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.07390655,0.7381895,0.1421151,0.002194383,0.002229268,0.000188143,0.00009743059,0.0003752798,0.04070435],"genre_scores_gemma":[0.1599399,0.7550565,0.07089643,0.001014202,0.001583276,0.0001989627,0.0001362095,0.00007780666,0.01109681],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001006227,"threshold_uncertainty_score":0.003366113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02751772848519956,"score_gpt":0.3011738172748422,"score_spread":0.2736560887896426,"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."}}