{"id":"W2791183077","doi":"10.1109/access.2018.2815082","title":"Low-Profile Low-Cost High Gain 60 GHz Antenna","year":2018,"lang":"en","type":"article","venue":"IEEE Access","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Antenna measurement; Antenna (radio); Antenna gain; Dipole antenna; Antenna factor; Computer science; Coaxial antenna; Antenna efficiency; Antenna rotator; Microstrip antenna; Antenna aperture; Antenna array; Radiation pattern; Optics; Telecommunications; Physics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000113085,0.0002067919,0.0002552599,0.0001484741,0.0001000567,0.0001554378,0.0005358551,0.0001013976,0.001091018],"category_scores_gemma":[0.00001820687,0.0001892162,0.0001038115,0.0004946171,0.0000857448,0.0003997862,0.00004361162,0.0001512001,0.001441953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000431878,"about_ca_system_score_gemma":0.00001426716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001132105,"about_ca_topic_score_gemma":0.00005735579,"domain_scores_codex":[0.9988929,0.00002195414,0.0002387379,0.0002539264,0.0001847444,0.0004077464],"domain_scores_gemma":[0.9993248,0.00003254531,0.00003828026,0.0003884527,0.00009324739,0.0001226968],"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":[0.0001079772,0.0002659138,0.005909579,0.0004334016,0.0007034182,0.0004261921,0.000812183,0.002986683,0.8650886,0.0002269096,0.09446661,0.02857253],"study_design_scores_gemma":[0.0008241136,0.00005100726,0.005743944,0.0002338291,0.0001115859,0.00001002819,0.00009862177,0.7856861,0.2034297,0.0004638758,0.002397988,0.0009492253],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6656908,0.0001426973,0.3270099,0.0001070426,0.001492348,0.0002297151,0.00005275115,0.0006913133,0.004583449],"genre_scores_gemma":[0.9972236,0.000069172,0.0002219738,0.0002850681,0.0008139653,0.00002500209,0.00001851219,0.00005226576,0.001290489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7826994,"threshold_uncertainty_score":0.9998221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01856737097626983,"score_gpt":0.2590381280499183,"score_spread":0.2404707570736485,"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."}}