{"id":"W2607028134","doi":"10.1142/s2301385017500030","title":"Multi-Target Engagement in Complex Mobile Surveillance Sensor Networks","year":2017,"lang":"en","type":"article","venue":"Unmanned Systems","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Government of Ontario","keywords":"Flocking (texture); Computer science; Wireless sensor network; Key (lock); Task (project management); Real-time computing; Distributed computing; Set (abstract data type); Computer network; Engineering; Computer security","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002365641,0.0003927178,0.0007400942,0.0001687759,0.0006308681,0.001301806,0.002975587,0.0001773315,0.00001287373],"category_scores_gemma":[0.0001904105,0.0003778072,0.0001436529,0.0002103568,0.00008083859,0.0006058701,0.0005716591,0.0003326598,0.000251137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000232935,"about_ca_system_score_gemma":0.00005157382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001033612,"about_ca_topic_score_gemma":0.0002445927,"domain_scores_codex":[0.99595,0.0008069343,0.0008838818,0.0009194811,0.0005261324,0.0009135186],"domain_scores_gemma":[0.9958659,0.0001974777,0.000692104,0.002842234,0.0001814129,0.0002208659],"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":[0.00008655254,0.001124501,0.3418738,0.0004671149,0.0004032022,0.0009466494,0.002241107,0.6158915,0.004693217,0.007187533,0.02030238,0.004782435],"study_design_scores_gemma":[0.00206991,0.0000582593,0.06990692,0.00009458795,0.00000297358,0.0000157574,0.0001567806,0.8939818,0.00002595248,0.000006658016,0.03326196,0.0004185084],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02850842,0.001437527,0.9558499,0.0004594219,0.006238175,0.003660383,0.0001139019,0.0006652882,0.003067013],"genre_scores_gemma":[0.9942556,0.00001712932,0.003949791,0.00006468208,0.0003251321,0.0003977022,0.00004853474,0.00003229884,0.0009091527],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9657472,"threshold_uncertainty_score":0.9998674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04883913914388759,"score_gpt":0.2892123529593928,"score_spread":0.2403732138155052,"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."}}