{"id":"W2789800801","doi":"10.1002/mmce.21250","title":"A miniaturized printed monopole antenna for 5.2-5.8 GHz WLAN applications","year":2018,"lang":"en","type":"article","venue":"International Journal of RF and Microwave Computer-Aided Engineering","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut National de Recherche et de Sécurité; Institut national de la recherche scientifique","keywords":"Ground plane; Miniaturization; Monopole antenna; Wi-Fi; Bandwidth (computing); Microstrip; Microstrip antenna; Patch antenna; Electrical impedance; Acoustics; Electrical engineering; Impedance matching; Antenna (radio); Electronic engineering; Wireless; Telecommunications; Physics; Engineering; Wireless network","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001379116,0.0001659037,0.000249275,0.0003214689,0.00003626302,0.00008988418,0.0002854987,0.0000611111,0.000007963209],"category_scores_gemma":[0.00001790743,0.0001589485,0.0001575765,0.0001150267,0.00003580175,0.0001422906,0.00004244992,0.0001370475,0.000005177253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005539886,"about_ca_system_score_gemma":0.00001656905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001955549,"about_ca_topic_score_gemma":0.000001758795,"domain_scores_codex":[0.9991319,0.000005564073,0.0004141187,0.0001268831,0.0001380123,0.0001835509],"domain_scores_gemma":[0.999216,0.00007673973,0.00009885025,0.00009503029,0.0004075363,0.0001058063],"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":[0.00004684143,0.00003530012,0.00007582382,0.00004559786,0.0006549609,0.00001548797,0.000236476,0.0006502821,0.9846284,0.0004316428,0.0003679541,0.01281119],"study_design_scores_gemma":[0.001232392,0.0001374737,0.0005000334,0.0001921817,0.00007354217,0.0003256895,0.00004286903,0.9684719,0.0138435,0.000298792,0.01461028,0.0002713238],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06826884,0.0004358937,0.9302331,0.0001229955,0.0007220025,0.0001075892,0.000013333,0.00006967912,0.0000266059],"genre_scores_gemma":[0.8641055,0.000188053,0.1340244,0.00006876671,0.001516075,0.000009379882,0.000009068121,0.00003153201,0.00004724767],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.970785,"threshold_uncertainty_score":0.6481734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007433784495402559,"score_gpt":0.2202690671088159,"score_spread":0.2128352826134133,"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."}}