{"id":"W2552461229","doi":"10.1515/nanoph-2016-0135","title":"Integrated nanoplasmonic waveguides for magnetic, nonlinear, and strong‐field devices","year":2016,"lang":"en","type":"article","venue":"Nanophotonics","topic":"Plasmonic and Surface Plasmon Research","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Plasmon; Photonics; CMOS; Metamaterial; Optoelectronics; Bandwidth (computing); Waveguide; Nonlinear optics; Materials science; Nanotechnology; Nonlinear system; Physics; Computer science; Telecommunications","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":[0.0002044126,0.00057983,0.0002463658,0.0005357458,0.0001766193,0.0005288974,0.0003378784,0.0005270801,0.001670179],"category_scores_gemma":[0.0001380748,0.000202068,0.000254598,0.0003793339,0.0002003001,0.0007217031,0.0003266481,0.000634598,0.0006727227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004702951,"about_ca_system_score_gemma":0.0002547391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001927778,"about_ca_topic_score_gemma":0.0005179141,"domain_scores_codex":[0.9999131,0.000009418191,0.000007233832,0.0000177678,0.0000394666,0.00001296728],"domain_scores_gemma":[0.9999359,0.000020368,0.00001688818,0.000003665277,0.00001666008,0.000006460711],"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":[0.00007863052,0.0001323709,0.0004367361,0.00430848,0.00005744612,0.000435561,0.0001314578,0.002852941,0.6481575,0.08442351,0.0103338,0.2486516],"study_design_scores_gemma":[0.00002044573,0.0004860396,0.000975445,0.0005192767,0.00007501129,0.001218407,0.00006828638,0.01220828,0.3011507,0.01166664,0.6715441,0.00006743678],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03970383,0.7816124,0.1280355,0.001399186,0.00159483,0.0002431375,0.0003020784,0.0007527883,0.04635624],"genre_scores_gemma":[0.2275478,0.6124632,0.1280493,0.0009475775,0.001318271,0.0003609814,0.0004197149,0.0001179683,0.02877522],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001670179,"threshold_uncertainty_score":0.005587339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01413471952555531,"score_gpt":0.2407572714403448,"score_spread":0.2266225519147895,"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."}}