{"id":"W2116830804","doi":"10.1109/ccst.1988.75986","title":"A VHF intrusion detection radar for ground-level and airborne threats","year":2003,"lang":"en","type":"article","venue":"","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Radar; Intrusion detection system; Computer science; Range (aeronautics); Remote sensing; Radar tracker; Computer security; Intrusion; Real-time computing; Secondary surveillance radar; Radar detection; Ground-penetrating radar; Engineering; Telecommunications; Aerospace engineering; Geology","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":[0.0001252618,0.00008489712,0.00009861236,0.00003786648,0.00008877655,0.00004434641,0.00002204062,0.0000550702,0.00001397998],"category_scores_gemma":[0.00001321842,0.00007191888,0.00002115623,0.00006376349,0.000008293618,0.0001295617,0.000003811423,0.00004429442,0.000003367426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002822172,"about_ca_system_score_gemma":0.000005741799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002251732,"about_ca_topic_score_gemma":0.00005227197,"domain_scores_codex":[0.9995891,0.000007539421,0.0001163603,0.0001044638,0.00005759297,0.0001249207],"domain_scores_gemma":[0.9998416,0.0000253298,0.0000122111,0.0000618148,0.00001950834,0.00003950449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003786451,0.00002446852,0.0001254208,0.000700385,0.00006715451,0.000004251264,0.0005295495,0.000801145,0.2098791,0.008886334,0.0007534088,0.7781909],"study_design_scores_gemma":[0.00483539,0.0006363972,0.005343905,0.0003750371,0.0001062442,0.0004128399,0.00155767,0.3244568,0.5474708,0.03126631,0.08173446,0.001804155],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2424527,0.001333062,0.7487576,0.00001462955,0.0003140088,0.0001973792,0.000001998396,0.000188943,0.006739674],"genre_scores_gemma":[0.9935916,0.0000262734,0.005748587,0.00001581928,0.00005797763,0.00001230119,8.291235e-7,0.00001978682,0.00052679],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7763867,"threshold_uncertainty_score":0.2932767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02391611999814216,"score_gpt":0.2231332753596844,"score_spread":0.1992171553615423,"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."}}