{"id":"W2541178154","doi":"10.1109/icupc.1994.383028","title":"Base station polarization-sensitive adaptive antenna for mobile radio","year":2002,"lang":"en","type":"article","venue":"","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Northern Research Station","keywords":"Fading; Base station; Computer science; Polarization (electrochemistry); Single antenna interference cancellation; Dipole antenna; Electronic engineering; Interference (communication); Antenna array; Antenna (radio); Directional antenna; Channel (broadcasting); Telecommunications; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.00004450804,0.00009105194,0.0001120059,0.00008394707,0.00005073339,0.0000190743,0.00003320659,0.00003719945,0.0002649667],"category_scores_gemma":[0.00001343664,0.00008501673,0.00006666883,0.0001794318,0.00001439364,0.0001399384,0.00000322484,0.00003961215,0.00007358559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003111844,"about_ca_system_score_gemma":0.000002406611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001660499,"about_ca_topic_score_gemma":0.000010982,"domain_scores_codex":[0.9995499,0.00001112263,0.0001194942,0.0001107597,0.00006755778,0.0001412252],"domain_scores_gemma":[0.9997178,0.00005719857,0.00001570549,0.00008018308,0.00008203115,0.00004708875],"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":[0.0000740991,0.0002440713,0.0008122163,0.0001158125,0.0009628175,0.00003791194,0.005173175,0.01787985,0.9253907,0.01286743,0.01466261,0.02177932],"study_design_scores_gemma":[0.0002192824,0.00004404403,0.0001226652,0.000006417974,0.00003153725,0.000001474054,0.0006121367,0.9971304,0.001451484,0.00005419317,0.0002063661,0.0001200089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004292947,0.0001504247,0.9940532,0.00003176894,0.00004828596,0.0001974024,0.00004468312,0.0002024219,0.0009788667],"genre_scores_gemma":[0.989099,0.00005684331,0.007308053,0.00007535071,0.00005106524,0.00003152926,0.00004042874,0.00002155029,0.003316168],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9867451,"threshold_uncertainty_score":0.3466882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01570530272172396,"score_gpt":0.2013979468865627,"score_spread":0.1856926441648387,"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."}}