{"id":"W3036417436","doi":"10.1364/ol.398176","title":"Scaling and cascading compact metamaterial photonic waveguide filter blocks","year":2020,"lang":"lv","type":"article","venue":"Optics Letters","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Metamaterial; Stopband; Passband; Optics; Transition band; Blueshift; Scaling; Insertion loss; Attenuation; Optoelectronics; Materials science; Filter (signal processing); Photonics; Physics; Low-pass filter; Band-pass filter; Prototype filter; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001963728,0.0004822359,0.0006350139,0.00007044721,0.0001510963,0.0004087584,0.0002837996,0.0001910629,0.000349017],"category_scores_gemma":[0.00009198125,0.0004897528,0.0001650124,0.0001880875,0.0001518845,0.0002273431,0.0001418835,0.0005138921,0.000149561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009235281,"about_ca_system_score_gemma":0.00002356769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005527493,"about_ca_topic_score_gemma":0.000002346157,"domain_scores_codex":[0.9978223,0.00004985232,0.0005486919,0.0005069154,0.0002977141,0.000774475],"domain_scores_gemma":[0.9988815,0.00020967,0.00008562652,0.000273887,0.00002708028,0.000522273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000898159,0.00002932595,0.0001286258,0.0007940216,0.0006806852,0.0003576609,0.003089167,0.02106182,0.9698057,0.0008473239,0.002494834,0.0006209948],"study_design_scores_gemma":[0.001078363,0.00007806592,0.0002405533,0.0002434661,0.0004276542,0.00004893174,0.0001845107,0.8812998,0.1037787,0.00001911219,0.01177202,0.0008287832],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823012,0.0009746106,0.001675826,0.007043251,0.00096739,0.0002796372,0.00007460918,0.0001925231,0.006490954],"genre_scores_gemma":[0.9876611,0.0003231388,0.004973107,0.006218421,0.0006637421,0.000004344627,0.00001914544,0.00009702666,0.00003995313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.866027,"threshold_uncertainty_score":0.9997554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01932977540802999,"score_gpt":0.2227200909514319,"score_spread":0.203390315543402,"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."}}