{"id":"W2126254803","doi":"10.1109/taes.2010.5461659","title":"A Notion of Diversity Order in Distributed Radar Networks","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Aerospace and Electronic Systems","topic":"Distributed Sensor Networks and Detection Algorithms","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Radar; Algorithm; Computer science; Order statistic; Order (exchange); Sequential probability ratio test; Statistic; Mathematics; Discrete mathematics; Statistics; Telecommunications","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":[0.0002702912,0.0001502578,0.0002279841,0.0001132024,0.000227894,0.00007341243,0.0002307117,0.0001614908,0.000005467602],"category_scores_gemma":[0.000003398573,0.0001467597,0.00005812376,0.0008137375,0.00005180676,0.0001787841,0.000006614545,0.0005529997,0.000003574395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007127839,"about_ca_system_score_gemma":0.00004426692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005055089,"about_ca_topic_score_gemma":0.0008216118,"domain_scores_codex":[0.9987948,0.00006312721,0.0002287681,0.0003169004,0.0002041733,0.0003922227],"domain_scores_gemma":[0.9993396,0.00006776324,0.00009743929,0.0003172166,0.00008864114,0.00008932249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003947572,0.001564918,0.001771134,0.0001239896,0.000344613,0.000035883,0.001185585,0.8504245,0.01505433,0.02882208,0.0008418712,0.09943628],"study_design_scores_gemma":[0.00161734,0.0004322855,0.001673483,0.00005576551,0.000026824,0.00007580665,0.0001344343,0.9923392,0.001784017,0.0001752947,0.001303891,0.0003816932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09169097,0.0001231311,0.9067054,0.0001243829,0.001020406,0.0001995171,0.0000140652,0.00007295859,0.00004917702],"genre_scores_gemma":[0.9994042,0.0001481283,0.0002701342,0.00002119743,0.00003734353,0.00001341052,0.000003231297,0.000007209483,0.00009517858],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9077132,"threshold_uncertainty_score":0.5984687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007353987493032854,"score_gpt":0.2045090421785794,"score_spread":0.1971550546855466,"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."}}