{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000364129,0.0005352055,0.0002790279,0.0004939375,0.0001858339,0.0003469983,0.0003380571,0.0003318603,0.001286297],"category_scores_gemma":[0.0004680382,0.0002299297,0.000310612,0.0004675484,0.0002841032,0.0005617908,0.0003359278,0.000237345,0.0004702873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003533667,"about_ca_system_score_gemma":0.0003928184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003175254,"about_ca_topic_score_gemma":0.0007586603,"domain_scores_codex":[0.9997879,0.00003609551,0.00001392161,0.00004809833,0.00009330348,0.00002071858],"domain_scores_gemma":[0.9995379,0.0001261729,0.0001372886,0.00009372879,0.00008470218,0.00002017929],"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":[0.00005112216,0.000008840841,0.0003119424,0.00006022232,0.000005281192,0.0000276966,0.00001928724,0.0001551782,0.9944792,0.0002942211,0.00003984258,0.004547199],"study_design_scores_gemma":[0.000004807653,0.0001004383,0.0008743781,0.000003028906,0.000009025266,0.000111078,0.00002147002,0.001073247,0.9965677,0.00004876952,0.00117873,0.000007278264],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8127041,0.002078921,0.1786804,0.0001381927,0.0001528536,0.000126536,0.0003157046,0.0006066944,0.005196474],"genre_scores_gemma":[0.8355852,0.001238912,0.1606135,0.00004830473,0.00002122422,0.0000884027,0.0001803609,0.00005575936,0.002168286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001286297,"threshold_uncertainty_score":0.004303098,"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."}}