{"id":"W2133582051","doi":"10.1109/aps.2010.5561663","title":"Optimized patch array antenna for 60 GHz wireless applications","year":2010,"lang":"en","type":"article","venue":"","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Research Council Canada","keywords":"Wireless; Computer science; Gigabit; Directional antenna; Broadband; Conformal antenna; Antenna (radio); Wireless broadband; Personal area network; Electronic engineering; Electrical engineering; Telecommunications; Wireless network; Computer network; Slot antenna; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.00007534665,0.0001016069,0.0001543839,0.00005264183,0.00006084498,0.00002992103,0.0001342359,0.00006809062,0.0002274877],"category_scores_gemma":[0.000005525934,0.00008655818,0.00011086,0.0001482735,0.00002269095,0.00005708763,0.000005576729,0.0001039446,0.00007905534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006306213,"about_ca_system_score_gemma":0.000005508594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001710381,"about_ca_topic_score_gemma":0.00003059666,"domain_scores_codex":[0.9994897,0.000003162488,0.0001421741,0.0001298111,0.0000574605,0.0001776639],"domain_scores_gemma":[0.9995934,0.00004424011,0.00001465474,0.0002271412,0.00004953249,0.00007097817],"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":[0.000005219843,0.00002530025,0.0001071614,0.0000253525,0.00006931552,5.063442e-7,0.00004392728,0.0001826929,0.9939885,0.00124177,0.0007007912,0.00360952],"study_design_scores_gemma":[0.0003921475,0.000006671934,0.00008646844,0.000003749414,0.00004613014,0.000001834615,0.0001077139,0.9851732,0.005564049,0.000396341,0.008019675,0.0002020258],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006045113,0.00002449858,0.9906896,0.0001356104,0.00007997661,0.0002254404,0.00001163,0.0003496377,0.002438504],"genre_scores_gemma":[0.9316595,0.00003869537,0.0654458,0.00006921914,0.0001424925,0.0002722814,0.00002426097,0.00003006515,0.002317735],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9884244,"threshold_uncertainty_score":0.352974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008634668981777125,"score_gpt":0.2191907326371527,"score_spread":0.2105560636553755,"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."}}