{"id":"W4405975065","doi":"10.1109/imas61316.2024.10817962","title":"A 2.4GHz Electrically Small Antenna for IoT Terminals","year":2024,"lang":"en","type":"article","venue":"","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Queen's University","funders":"","keywords":"Internet of Things; Computer science; Antenna (radio); Optoelectronics; Telecommunications; Embedded system; Materials science","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":[0.0001150048,0.0004467019,0.0003382526,0.0002099047,0.0001551515,0.0005618586,0.0007039406,0.0008427398,0.003117098],"category_scores_gemma":[0.0002973704,0.0002056285,0.0004759069,0.0002208852,0.0001930982,0.0005589153,0.0003729602,0.0004685609,0.002061521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003611887,"about_ca_system_score_gemma":0.0001974277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001340785,"about_ca_topic_score_gemma":0.0001573306,"domain_scores_codex":[0.9998348,0.00002593061,0.000007415949,0.00003824055,0.00006570233,0.0000279216],"domain_scores_gemma":[0.9998034,0.0000354733,0.00003870896,0.00004541551,0.00005496807,0.00002210831],"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":[0.0002348516,0.00004760499,0.00157753,0.0001851045,0.00003299556,0.0004161735,0.00005673427,0.00499616,0.9252008,0.00522028,0.004569301,0.05746255],"study_design_scores_gemma":[0.0001457367,0.002482109,0.0108012,0.00008247876,0.0001505472,0.006831238,0.000151037,0.1036705,0.7269056,0.002756116,0.1458704,0.0001530963],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.254109,0.0009785698,0.6983804,0.001388394,0.0006802173,0.0001067546,0.0004065974,0.003214627,0.04073545],"genre_scores_gemma":[0.847246,0.0003076102,0.1321885,0.0005539432,0.0001389531,0.0001355869,0.0003814778,0.0001568939,0.01889104],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003117098,"threshold_uncertainty_score":0.01042771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01583648370551568,"score_gpt":0.2279483453655444,"score_spread":0.2121118616600287,"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."}}