{"id":"W2994730758","doi":"10.18280/ts.360508","title":"Design and Analysis of Rectangular Microstrip Antenna (RMSA) for Millimeter Wave Communication Applications","year":2019,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Extremely high frequency; Microstrip antenna; Antenna (radio); Acoustics; Microstrip; Computer science; Telecommunications; Electronic engineering; Engineering; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002896101,0.0001245413,0.000301162,0.0002682877,0.00004858457,0.00002264475,0.0001191563,0.00005265935,0.0001479827],"category_scores_gemma":[0.000002789893,0.0001195306,0.0001557448,0.0004913869,0.00003799487,0.00007054611,0.00001449222,0.00005186963,0.000005213745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002489077,"about_ca_system_score_gemma":0.00000631683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006100142,"about_ca_topic_score_gemma":0.000002195858,"domain_scores_codex":[0.9992487,0.00003912955,0.0002964749,0.0001595134,0.0001048274,0.0001513803],"domain_scores_gemma":[0.9993989,0.0001582113,0.00006666777,0.0002579589,0.0000734983,0.00004471732],"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":[0.00004392035,0.00006128785,0.0017389,0.00009064062,0.002270173,2.946177e-7,0.0004132869,0.004029401,0.9869345,0.0002815864,0.0001378528,0.0039982],"study_design_scores_gemma":[0.0004574643,0.00006517745,0.002586573,0.00001957349,0.001339547,7.719151e-7,0.0001338052,0.9863419,0.008223174,0.0001291777,0.0005290039,0.0001738114],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06722026,0.000920084,0.9310744,0.00003538754,0.000008416198,0.0005859301,0.00005407401,0.00004910329,0.00005237596],"genre_scores_gemma":[0.9749624,0.0002245731,0.02439377,0.00003971479,0.00001120422,0.0001125934,0.0001627389,0.00001801732,0.00007495821],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9823125,"threshold_uncertainty_score":0.4874318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01823095450920571,"score_gpt":0.2190454167153461,"score_spread":0.2008144622061404,"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."}}