{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001630923,0.000575706,0.0002572695,0.0003847652,0.0003027617,0.0005360931,0.0007983795,0.0005337882,0.001947549],"category_scores_gemma":[0.0002554045,0.0003333252,0.0003710749,0.0002345532,0.0003125866,0.000893252,0.0005215331,0.0004841681,0.001233649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006733708,"about_ca_system_score_gemma":0.0002710251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009070863,"about_ca_topic_score_gemma":0.002507972,"domain_scores_codex":[0.9997737,0.00001455449,0.00001189755,0.00006954376,0.00009425373,0.00003604673],"domain_scores_gemma":[0.9996957,0.00005525794,0.00008513622,0.0000678679,0.00006987476,0.00002636447],"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":[0.00003997446,0.00003204869,0.0001555929,0.00004738061,0.00001385535,0.00008587501,0.00004041023,0.002257312,0.986232,0.002644713,0.0003343749,0.00811653],"study_design_scores_gemma":[0.00001584952,0.0002774574,0.0006704566,0.000009282854,0.00002642301,0.0001776178,0.0000257558,0.03066074,0.9543013,0.0007557474,0.01305463,0.00002479345],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6809689,0.001526089,0.2902047,0.0004627658,0.0003317002,0.0001377612,0.0002582567,0.002904026,0.02320575],"genre_scores_gemma":[0.8082881,0.0004633666,0.1771819,0.0001043806,0.00006138958,0.0001260368,0.0002176421,0.0001539016,0.01340331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001947549,"threshold_uncertainty_score":0.006515205,"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."}}