{"id":"W2740406056","doi":"10.1049/el.2017.2257","title":"Substrate integrated‐based Fermi‐Dirac multibeam antenna for mmWave applications","year":2017,"lang":"en","type":"article","venue":"Electronics Letters","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Concordia University","funders":"","keywords":"Substrate (aquarium); Antenna (radio); Reconfigurable antenna; Electronic engineering; Directional antenna; Optoelectronics; Computer science; Dipole antenna; Materials science; Telecommunications; Engineering; Antenna efficiency; Geology","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":[0.0001262321,0.0002025077,0.0002084949,0.00009129917,0.0003432751,0.0001611539,0.0004024662,0.00007395456,0.00001693825],"category_scores_gemma":[0.00001712552,0.0001984761,0.0001747013,0.00009416398,0.0000640002,0.0001352398,0.000009982841,0.0002347804,0.00004031705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001239163,"about_ca_system_score_gemma":0.00003659622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001696238,"about_ca_topic_score_gemma":0.00007813151,"domain_scores_codex":[0.9989584,0.00001057579,0.0001942005,0.0002382335,0.0001003253,0.0004982346],"domain_scores_gemma":[0.9992142,0.00004130969,0.00007404031,0.0005424193,0.00005157994,0.00007649589],"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":[0.0000222087,0.00003581949,0.0004753845,0.0000529773,0.0001940192,0.000005422847,0.00003707103,0.001166414,0.9923021,0.0009583175,0.001416607,0.003333692],"study_design_scores_gemma":[0.0007271336,0.00003952192,0.0006406137,0.00002528154,0.000117166,0.000002776954,0.00002561905,0.9531212,0.01780906,0.0002455176,0.02677948,0.0004665937],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04404891,0.000497728,0.9528362,0.001699122,0.00007474305,0.0003853959,0.0000308723,0.0002764453,0.0001506045],"genre_scores_gemma":[0.9962767,0.00009441563,0.002353043,0.0006104571,0.0001248683,0.0002160331,0.00008629778,0.00005497388,0.0001832454],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.974493,"threshold_uncertainty_score":0.8093622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01293136331189673,"score_gpt":0.2338280964902651,"score_spread":0.2208967331783683,"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."}}