{"id":"W3215663949","doi":"10.3390/electronics10232964","title":"Application of Differential Geometry to the Array Manifolds of Linear Arrays in Antenna Array Processing","year":2021,"lang":"en","type":"article","venue":"Electronics","topic":"Direction-of-Arrival Estimation Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Taif University","keywords":"Algorithm; Direction of arrival; Antenna (radio); Intersection (aeronautics); Antenna array; MATLAB; Genetic algorithm; Set (abstract data type); Mathematics; Differential (mechanical device); Direction finding; Null (SQL); Computer science; Geometry; Topology (electrical circuits); Mathematical optimization; Physics; Combinatorics; Engineering; Telecommunications","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":[0.0002497787,0.0000933084,0.0002004159,0.0001427333,0.00003908377,0.00002093081,0.0004739069,0.00005654619,0.000005002058],"category_scores_gemma":[0.0001074334,0.00008216603,0.00005486891,0.001387035,0.0000273904,0.0001513126,0.00006524209,0.0001440794,0.000002550594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006244059,"about_ca_system_score_gemma":0.000277395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001225357,"about_ca_topic_score_gemma":0.00005166893,"domain_scores_codex":[0.9988462,0.00005755333,0.0003771953,0.0002455588,0.0002841108,0.0001893241],"domain_scores_gemma":[0.9989036,0.00005344787,0.0002312376,0.0004718949,0.000312865,0.00002697357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001051742,0.0002049046,0.0004557348,0.0001123399,0.000014357,5.948262e-7,0.0006830131,0.0005351439,0.9186016,0.01601329,0.00003048872,0.06333804],"study_design_scores_gemma":[0.00009403971,0.00007040084,0.001279116,0.00005167061,0.000006497839,0.000005767857,0.00002177069,0.02796669,0.9652651,0.00426672,0.0008913076,0.00008091704],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03188927,0.0004668382,0.9665959,0.0004422412,0.00005499068,0.0001561502,0.000002230632,0.00005729192,0.0003350455],"genre_scores_gemma":[0.9198532,0.00006549707,0.07993986,0.00004120012,0.00002522728,0.00002325682,0.000004708076,0.000008831661,0.00003828624],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8879639,"threshold_uncertainty_score":0.3350633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0088708483257693,"score_gpt":0.2600376279539156,"score_spread":0.2511667796281463,"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."}}