{"id":"W4415443956","doi":"10.1109/jiot.2025.3624324","title":"Cost-Effective 3-D-Printable Polarization Reconfigurable Antenna for Millimeter-Wave Smart IoT Applications","year":2025,"lang":"","type":"article","venue":"IEEE Internet of Things Journal","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Reconfigurable antenna; Polarization (electrochemistry); Impedance matching; Circular polarization; Microstrip antenna; Linear polarization; Microstrip; Dielectric; Electrical impedance","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001547026,0.0005336378,0.0008134042,0.0009114068,0.0003236413,0.0005005553,0.0005587641,0.0003947685,0.0002815176],"category_scores_gemma":[0.0002584097,0.0005793364,0.0005723908,0.0005015488,0.0001050258,0.0007313616,0.00006666032,0.001115387,0.00003332734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005874319,"about_ca_system_score_gemma":0.0001851782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001351276,"about_ca_topic_score_gemma":0.00001010665,"domain_scores_codex":[0.9964907,0.0001573034,0.0017422,0.0005469724,0.0003487396,0.0007140581],"domain_scores_gemma":[0.996879,0.0004221903,0.000794906,0.0004392785,0.001210301,0.0002542788],"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":[0.0003629703,0.0002855216,0.0001710951,0.001204769,0.001594904,0.000005242018,0.002551305,0.007507913,0.8166292,0.0005047818,0.001660865,0.1675215],"study_design_scores_gemma":[0.001382661,0.0002407841,0.00003899298,0.001409035,0.0003451866,0.0001039468,0.0002709016,0.4943536,0.4872527,0.002990283,0.01121094,0.0004010279],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0190601,0.002269529,0.9682843,0.000320917,0.003482368,0.00366455,0.00005097548,0.00008972113,0.002777507],"genre_scores_gemma":[0.9649315,0.0007052267,0.02775106,0.0004847166,0.0003342014,0.0005826844,0.00002953778,0.0001052888,0.005075714],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9458715,"threshold_uncertainty_score":0.9996658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0345063179220854,"score_gpt":0.2782261888871994,"score_spread":0.2437198709651139,"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."}}