{"id":"W2050507001","doi":"10.3390/s140609669","title":"Precise Calibration of a GNSS Antenna Array for Adaptive Beamforming Applications","year":2014,"lang":"en","type":"article","venue":"Sensors","topic":"Direction-of-Arrival Estimation Techniques","field":"Computer Science","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"GNSS applications; Calibration; Beamforming; Computer science; Antenna (radio); Antenna array; Electronic engineering; Interference (communication); Global Positioning System; GPS signals; Noise (video); Engineering; Telecommunications; Assisted GPS; Channel (broadcasting); Artificial intelligence; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001932007,0.00006721854,0.0001292622,0.00009650629,0.00004968548,0.00001563946,0.0002127525,0.00004037235,0.000001621808],"category_scores_gemma":[0.0001277481,0.00006735238,0.00005682691,0.0002741201,0.00004070592,0.0002450584,0.00002728331,0.00003294666,0.000001905998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000164384,"about_ca_system_score_gemma":0.00003706812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001497828,"about_ca_topic_score_gemma":0.000004841163,"domain_scores_codex":[0.9993203,0.00003311059,0.0002457914,0.0001777335,0.000130587,0.00009243681],"domain_scores_gemma":[0.9990041,0.0001934951,0.000203373,0.0003180237,0.0002490012,0.00003205573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004235316,0.0002315166,0.0001808098,0.0002025951,0.00004796884,1.845013e-7,0.002243703,0.003915294,0.288733,0.5326436,0.0003837395,0.1713752],"study_design_scores_gemma":[0.0000906081,0.00007531306,0.00005745765,0.00002622581,0.000005958823,0.000001993493,0.00002375985,0.3881117,0.5844335,0.02584698,0.001256568,0.0000699779],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002692092,0.000006327929,0.9951209,0.0001234294,0.00005476824,0.0003895947,0.000009631447,0.0001594488,0.001443844],"genre_scores_gemma":[0.4809078,0.000002237893,0.5188597,0.00001647082,0.00001762261,0.0000807699,0.000003429863,0.000005858235,0.00010613],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5067967,"threshold_uncertainty_score":0.274655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01696874679609427,"score_gpt":0.261891165710614,"score_spread":0.2449224189145197,"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."}}