{"id":"W3080317852","doi":"10.1109/cjece.2019.2904898","title":"Liquid Metal Reconfigurable Patch Antenna for Linear, RH, and LH Circular Polarization With Frequency Tuning","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Science and Engineering Research Council","keywords":"Reconfigurability; Materials science; Circular polarization; Polarization (electrochemistry); Linear polarization; Metal; Liquid metal; Patch antenna; Antenna (radio); Optics; Microstrip antenna; Axial ratio; Physics; Optoelectronics; Microstrip; Electrical engineering; Telecommunications; Chemistry; Engineering; Composite material","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001025639,0.0004199126,0.0003253648,0.0002023155,0.00009542202,0.000439784,0.0006130426,0.0006175852,0.001565434],"category_scores_gemma":[0.0002198976,0.0001858125,0.0003594274,0.0003178719,0.0002064776,0.0003469862,0.0003189277,0.000335743,0.001184274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002365292,"about_ca_system_score_gemma":0.00007284419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001396084,"about_ca_topic_score_gemma":0.0001221996,"domain_scores_codex":[0.9997987,0.00003694724,0.000008018615,0.00005379874,0.00005883322,0.00004368746],"domain_scores_gemma":[0.9997506,0.00004638244,0.00007339429,0.00005877689,0.00005199414,0.00001893831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004480283,0.00004907888,0.0008511706,0.0001272051,0.00003236117,0.0004117617,0.00007027678,0.003604697,0.9312897,0.001283329,0.001563105,0.06026924],"study_design_scores_gemma":[0.00009534543,0.001178442,0.003284551,0.00002625425,0.00007562027,0.001964765,0.00009650135,0.07338966,0.8952435,0.0007611245,0.02380882,0.0000755062],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5731539,0.001111183,0.4007519,0.0004926099,0.0003535731,0.00004943364,0.0001514367,0.002654816,0.02128117],"genre_scores_gemma":[0.9277666,0.0002720869,0.06403272,0.0002316007,0.0000685655,0.00004506879,0.0001307539,0.0001062629,0.00734641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001565434,"threshold_uncertainty_score":0.005236864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008449449073743934,"score_gpt":0.1598736280175836,"score_spread":0.1514241789438397,"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."}}