{"id":"W2336799189","doi":"10.1049/iet-map.2015.0667","title":"Paraffin wax‐based dielectric lens for metamaterial measurement in the S‐band","year":2016,"lang":"en","type":"article","venue":"IET Microwaves Antennas & Propagation","topic":"Metamaterials and Metasurfaces Applications","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal; Polytechnique Montréal","funders":"","keywords":"Metamaterial; Materials science; Lens (geology); Optics; Horn antenna; Dielectric; French horn; Paraffin wax; Metamaterial antenna; Antenna (radio); Spiral (railway); Optoelectronics; Wax; Acoustics; Composite material; Mechanical engineering; Engineering; Electrical engineering; Coaxial antenna; Directional antenna; Slot antenna; Physics; Microstrip antenna","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":[],"consensus_categories":[],"category_scores_codex":[0.002822917,0.0002238436,0.0003019362,0.00009543227,0.0002177312,0.0001908501,0.0003804895,0.00008091607,0.0001318182],"category_scores_gemma":[0.0002078001,0.0001184786,0.0001015239,0.0002294131,0.00008601658,0.0002644115,0.00002039848,0.00004290034,0.0001105908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008903145,"about_ca_system_score_gemma":0.0001105268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004591077,"about_ca_topic_score_gemma":0.0001034566,"domain_scores_codex":[0.9978337,0.0003002184,0.0005654636,0.0004549534,0.000395761,0.0004498537],"domain_scores_gemma":[0.9988673,0.0001339696,0.0002761402,0.0004351278,0.0002464975,0.00004094623],"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":[0.0002018698,0.0001374532,0.00003069728,0.00004120732,0.000007642231,7.769633e-7,0.000123515,0.000004948574,0.9966704,0.0009619101,0.0004928604,0.001326688],"study_design_scores_gemma":[0.001112625,0.0002017129,0.001382358,0.00006495464,0.00005572256,0.000004644681,0.00003237636,0.0001294768,0.9876779,0.0007864231,0.008349239,0.0002025313],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9679354,0.000282252,0.02651264,0.002884493,0.000446204,0.001708645,0.00009048956,0.00005737927,0.00008245268],"genre_scores_gemma":[0.9959435,0.00007096109,0.002731469,0.0003023138,0.0001724285,0.0006582416,0.0000252528,0.00002593409,0.00006991746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02800804,"threshold_uncertainty_score":0.4831419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05243357365926478,"score_gpt":0.2629437172223746,"score_spread":0.2105101435631099,"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."}}