{"id":"W4403937230","doi":"10.23919/eumc61614.2024.10732651","title":"Modified Wheeler Caps for Antennas Used in IoT Applications","year":2024,"lang":"en","type":"article","venue":"","topic":"Antenna Design and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Internet of Things; Directional antenna; Telecommunications; Embedded system; Antenna (radio)","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":[0.0004600043,0.001098964,0.0004685732,0.0005113491,0.0003181836,0.001254826,0.001420856,0.001353895,0.003735658],"category_scores_gemma":[0.001862437,0.000445956,0.0005758278,0.0007139423,0.0004148362,0.0006798328,0.000424504,0.0006966757,0.003163216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006913237,"about_ca_system_score_gemma":0.0004574437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005246246,"about_ca_topic_score_gemma":0.0006227844,"domain_scores_codex":[0.9993992,0.0001337512,0.00003771237,0.0001204056,0.0002423379,0.00006655877],"domain_scores_gemma":[0.9983187,0.0002565182,0.0004618626,0.0003791541,0.0004997937,0.00008400289],"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":[0.0009197151,0.0002042154,0.002300517,0.001568535,0.0001262774,0.001843337,0.0003476259,0.06487655,0.6642836,0.03669726,0.02338921,0.2034432],"study_design_scores_gemma":[0.00008684582,0.001970748,0.005330071,0.0001899706,0.0002156138,0.002384767,0.0001754881,0.1476657,0.5549024,0.003530544,0.2832583,0.0002895634],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1499101,0.003046182,0.7849952,0.0006409544,0.002160001,0.0005788011,0.0006508567,0.002891294,0.05512661],"genre_scores_gemma":[0.6690754,0.001003069,0.3105731,0.0004312364,0.0001346825,0.0006096809,0.0004789554,0.00033579,0.01735803],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003735658,"threshold_uncertainty_score":0.01249701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01890347456424855,"score_gpt":0.23789567442284,"score_spread":0.2189921998585915,"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."}}