{"id":"W4313127006","doi":"10.2139/ssrn.4298399","title":"Joint Path Planning and Power Allocation for Multitarget Tracking in Multistatic Radar","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Guidance and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Joint (building); Multistatic radar; Computer science; Path (computing); Radar; Power (physics); Tracking (education); Radar tracker; Real-time computing; Operations research; Remote sensing; Telecommunications; Bistatic radar; Geography; Engineering; Radar imaging; Computer network; Civil 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":[0.001020258,0.00009563541,0.0001478353,0.0001006461,0.0001515049,0.00003039295,0.00007377446,0.00002268781,0.000005469905],"category_scores_gemma":[0.00002301583,0.0001004985,0.00004016978,0.00007254775,0.000005376101,0.0001216098,0.00001025426,0.0007022076,7.561767e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006486382,"about_ca_system_score_gemma":0.0001430154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002778165,"about_ca_topic_score_gemma":0.00008811671,"domain_scores_codex":[0.9986156,0.00003954585,0.0002571986,0.0001006837,0.0001260276,0.00086101],"domain_scores_gemma":[0.9998084,0.00003296978,0.00005338059,0.00005647694,0.00001766851,0.00003106769],"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":[0.000456363,0.0002943926,0.02339205,0.0003585636,0.0009037254,0.0001065438,0.02414193,0.6020091,0.169961,0.04913364,0.001209792,0.1280329],"study_design_scores_gemma":[0.01554387,0.001733123,0.02925289,0.0003094837,0.0001029076,0.001980909,0.05747987,0.8043271,0.0007468486,0.07150751,0.01549953,0.00151598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8848076,0.01759969,0.09657167,0.0001447728,0.000361575,0.0003541652,0.000006727184,0.0000567568,0.00009701803],"genre_scores_gemma":[0.9993668,0.0001256113,0.0002761261,0.0000245276,0.0000618199,0.00005943811,0.000004891477,0.00002620075,0.00005459899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.202318,"threshold_uncertainty_score":0.4098211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008743166013100882,"score_gpt":0.2240169273748144,"score_spread":0.2152737613617135,"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."}}