{"id":"W3130110736","doi":"10.1109/ieeeconf35879.2020.9330373","title":"Polarization-Insensitive Meta-Radome with Wide-Angle Matching at Millimeter Waves","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Antenna and Metasurface Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Radome; Optics; Millimeter; Materials science; Metamaterial; Permittivity; Polarization (electrochemistry); Dielectric; Extremely high frequency; Optoelectronics; Physics; Computer science; Telecommunications","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":[0.00009358022,0.0002785149,0.0002437861,0.000150681,0.00009598115,0.0003244492,0.0003307172,0.0003553599,0.0006808904],"category_scores_gemma":[0.000227944,0.0001343762,0.0001732735,0.0002481527,0.0001475251,0.0003842313,0.0003184804,0.0002482879,0.0005355087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001489265,"about_ca_system_score_gemma":0.0001001994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007286879,"about_ca_topic_score_gemma":0.0001542502,"domain_scores_codex":[0.9999067,0.0000142814,0.000005256145,0.00001878038,0.00003745775,0.00001756383],"domain_scores_gemma":[0.9998811,0.00001983102,0.00004457804,0.00002960929,0.00001817043,0.000006735285],"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":[0.00005159156,0.00001217561,0.0001995249,0.00005054069,0.000006340659,0.00006653714,0.00001945745,0.0008336894,0.9889144,0.003645135,0.0001491524,0.006051289],"study_design_scores_gemma":[0.0000104998,0.0001037738,0.0004886123,0.000005139151,0.000009633915,0.0003437054,0.00002028964,0.008382182,0.9856996,0.0004409603,0.004488503,0.000007242922],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8270323,0.001078539,0.1533654,0.0001927836,0.000117875,0.00004339374,0.0002109465,0.0004350608,0.01752369],"genre_scores_gemma":[0.9346906,0.0003077675,0.06121652,0.00004796091,0.00001484485,0.00003386942,0.0001530599,0.00004762508,0.003487822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006808904,"threshold_uncertainty_score":0.002277792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02477141393289656,"score_gpt":0.2079440791792667,"score_spread":0.1831726652463702,"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."}}