{"id":"W4413964236","doi":"10.36227/techrxiv.175693297.72822768/v1","title":"Third-Mode Compressibility Analysis for  Microstrip-Fed Planar Monopole Antennas","year":2025,"lang":"en","type":"article","venue":"","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Planar; Magnetic monopole; Mode (computer interface); Microstrip; Compressibility; Acoustics; Microstrip antenna; Physics; Materials science; Telecommunications; Computer science; Optics; Mechanics; Antenna (radio); Quantum mechanics","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":[0.0001419662,0.0003615027,0.0001959813,0.0003492369,0.00008166303,0.0003729147,0.0002577824,0.0002392079,0.001071108],"category_scores_gemma":[0.0006979303,0.0001413457,0.0002425749,0.0002319901,0.0003856033,0.0003916551,0.0002529484,0.0003565587,0.0002021691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002430217,"about_ca_system_score_gemma":0.0001021657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001317112,"about_ca_topic_score_gemma":0.0001092879,"domain_scores_codex":[0.999878,0.00001664627,0.000003651508,0.00001139965,0.00007654049,0.00001372566],"domain_scores_gemma":[0.9995093,0.000270636,0.0001002743,0.00005088569,0.00005345387,0.00001530874],"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":[0.0004568297,0.00006151887,0.002300486,0.0003053378,0.00003721393,0.0005060653,0.000280926,0.08778677,0.7928396,0.03848773,0.0004924297,0.0764451],"study_design_scores_gemma":[0.00001850482,0.0003390874,0.002993802,0.00002843453,0.00002156786,0.001122626,0.000110271,0.6514629,0.3298392,0.006982342,0.007043505,0.00003785473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4249606,0.0009487693,0.5572209,0.0001796351,0.00002593327,0.00004525026,0.00007508235,0.0003203963,0.01622352],"genre_scores_gemma":[0.9702851,0.00056041,0.02687163,0.00003297666,0.00002492238,0.00003018937,0.00007226158,0.00003756135,0.002085031],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001071108,"threshold_uncertainty_score":0.003583193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01272809463822021,"score_gpt":0.2585664047708384,"score_spread":0.2458383101326182,"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."}}