{"id":"W2975547194","doi":"10.1002/lpor.201900172","title":"An Ultracompact GRIN‐Lens‐Based Spot Size Converter using Subwavelength Grating Metamaterials","year":2019,"lang":"en","type":"article","venue":"Laser & Photonics Review","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"European Regional Development Fund; Ministerio de Economía y Competitividad; Ministerio de Educación, Cultura y Deporte; Universidad de Málaga","keywords":"Optics; Metamaterial; Grating; Materials science; Finite-difference time-domain method; Planar; Bandwidth (computing); Optoelectronics; Waveguide; Physics; Telecommunications; 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":[0.000124766,0.0001996031,0.0001157361,0.0001871023,0.00008999433,0.0002847307,0.0003828448,0.0002871575,0.0003978947],"category_scores_gemma":[0.00009647658,0.0001429522,0.0001835881,0.0001291987,0.000217449,0.0002312774,0.0002056418,0.000261599,0.0002702093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002867086,"about_ca_system_score_gemma":0.0001613814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001883169,"about_ca_topic_score_gemma":0.0004421089,"domain_scores_codex":[0.9999205,0.000008139739,0.000003913472,0.00001787671,0.00003693117,0.00001264488],"domain_scores_gemma":[0.9998935,0.00001772706,0.00003969979,0.00002182572,0.00001563005,0.00001162605],"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":[0.00001737478,0.00001848534,0.0001619588,0.00003295648,0.000004717235,0.00004020869,0.00001211489,0.0003090047,0.9934965,0.001126394,0.0001050948,0.004675115],"study_design_scores_gemma":[0.00001018503,0.0000927992,0.0005776488,0.000002387713,0.000006502113,0.0001575672,0.000007247781,0.004994366,0.9910896,0.0001375233,0.002915771,0.000008445229],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9135767,0.001595012,0.07566931,0.0001674821,0.0001040856,0.00007426149,0.0001343769,0.0005866497,0.008092061],"genre_scores_gemma":[0.9356866,0.0003026014,0.0622559,0.00004031682,0.00001433741,0.00002393257,0.00004562359,0.00002281133,0.001607874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0003978947,"threshold_uncertainty_score":0.002080262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0206792466835704,"score_gpt":0.2679548694759573,"score_spread":0.2472756227923869,"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."}}