{"id":"W2809814084","doi":"10.1049/iet-map.2018.5017","title":"Beam‐switching millimetre‐wave antenna using cantilever‐based FSSs","year":2018,"lang":"en","type":"article","venue":"IET Microwaves Antennas & Propagation","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Cantilever; Millimetre wave; Millimeter; Antenna (radio); Extremely high frequency; Optics; Beam (structure); Acoustics; Directional antenna; Materials science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000360941,0.0005102257,0.0004131722,0.00040647,0.00027896,0.0001742034,0.0002425871,0.000213344,0.00006244509],"category_scores_gemma":[0.00006935692,0.0005162666,0.0001754566,0.0006265035,0.0001287694,0.0003589637,0.00005630361,0.0003415217,0.0001040198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002235381,"about_ca_system_score_gemma":0.00007767724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001181984,"about_ca_topic_score_gemma":0.00004428954,"domain_scores_codex":[0.9977521,0.00004399625,0.0006148384,0.0005198215,0.0002890964,0.0007801266],"domain_scores_gemma":[0.9988656,0.00005432687,0.0001204596,0.0005149296,0.0002699724,0.0001746782],"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":[0.00002293195,0.00003892092,0.0001845653,0.0001661728,0.00007455047,0.00002423676,0.0003447207,0.002520354,0.9935604,0.00003584916,0.0005306878,0.002496571],"study_design_scores_gemma":[0.0004139522,0.00009630407,0.0008561132,0.0003289333,0.00005242627,0.00007906357,0.00009906028,0.5602177,0.4358818,0.00005160867,0.0013719,0.000551162],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6237366,0.00069956,0.3732799,0.00004585907,0.0009644413,0.0002895169,0.00002894507,0.0005897449,0.0003653897],"genre_scores_gemma":[0.987595,0.00006502943,0.01105934,0.0001452598,0.0007513746,0.000009348582,0.00006357291,0.0001686634,0.0001423861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5576973,"threshold_uncertainty_score":0.9997289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01984951239662992,"score_gpt":0.226578131079775,"score_spread":0.206728618683145,"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."}}