{"id":"W4395040061","doi":"10.3390/electronics13091605","title":"Advancing into Millimeter Wavelengths for IoT: Multibeam Modified Planar Luneburg Lens Antenna with Porous Plastic Material","year":2024,"lang":"en","type":"article","venue":"Electronics","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Luneburg lens; Materials science; Antenna (radio); Computer science; Lens (geology); Optoelectronics; Optics; Telecommunications; Physics","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":[0.00007554803,0.0003507923,0.000190236,0.0002029999,0.00007855758,0.0004896687,0.0002913114,0.000394045,0.0005369753],"category_scores_gemma":[0.0001350434,0.0001277145,0.0003192064,0.0002872471,0.0002111082,0.000396876,0.0002692709,0.0001731301,0.0004553552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003253416,"about_ca_system_score_gemma":0.0001347752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002061104,"about_ca_topic_score_gemma":0.0003508932,"domain_scores_codex":[0.9999235,0.000009696853,0.000002935786,0.00001449677,0.00003221762,0.00001718703],"domain_scores_gemma":[0.9999049,0.00001663765,0.00004093594,0.0000139947,0.00001298149,0.00001056188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001248966,0.00002817454,0.001020971,0.0001061281,0.00002144882,0.0004192977,0.00006299304,0.0100206,0.9500852,0.004382033,0.0007464949,0.03298175],"study_design_scores_gemma":[0.0000386398,0.0007432562,0.002785526,0.0000256838,0.00004526714,0.001871334,0.0001250452,0.104247,0.8663136,0.00135887,0.02236131,0.00008452999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6182281,0.001836508,0.351394,0.0005334617,0.0001917031,0.00005126385,0.0001465942,0.0009520855,0.02666614],"genre_scores_gemma":[0.906667,0.0006763108,0.08809977,0.0001133838,0.00003086709,0.00003557147,0.00006729081,0.00003916027,0.004270602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005369753,"threshold_uncertainty_score":0.002360523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008811333556434731,"score_gpt":0.2175545699686142,"score_spread":0.2087432364121795,"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."}}