{"id":"W2146141795","doi":"10.1109/mfi.1996.568500","title":"Position and attribute fusion of radar, ESM, IFF and Datalink for AAW missions of the Canadian Patrol Frigate","year":2002,"lang":"en","type":"article","venue":"","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Sensor fusion; Radar; Computer science; Secondary surveillance radar; Kalman filter; Radar tracker; Geodetic datum; Data link; Real-time computing; Process (computing); Data mining; Artificial intelligence; Computer vision; Telecommunications; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001547989,0.00007766692,0.0001185945,0.00005222757,0.0002782829,0.00004403334,0.0002917557,0.00006948946,0.00003220299],"category_scores_gemma":[0.00002936925,0.00005171499,0.00003139917,0.0001445651,0.00007268077,0.0001553015,0.0001454277,0.00007169933,7.622378e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001102328,"about_ca_system_score_gemma":0.00003032585,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009022855,"about_ca_topic_score_gemma":0.007983762,"domain_scores_codex":[0.99928,0.00003657041,0.000188489,0.0002048845,0.0001271393,0.0001628741],"domain_scores_gemma":[0.9992091,0.0001090031,0.00008077386,0.0004013466,0.00006704877,0.0001327448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006960812,0.0004373229,0.0239733,0.0004054221,0.0001737862,0.0000256224,0.0046559,0.0005442188,0.06393608,0.1550474,0.3579867,0.3927447],"study_design_scores_gemma":[0.004486945,0.0006840487,0.0782577,0.0007065769,0.0001648819,0.0002236077,0.0001699733,0.6729509,0.06984183,0.01198385,0.1594401,0.001089596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5275621,0.002938471,0.4233127,0.03497247,0.002451268,0.002039766,0.002474774,0.0002100281,0.004038493],"genre_scores_gemma":[0.9792725,0.00008767336,0.02008446,0.0002708837,0.00002548339,0.0000024764,0.00002838033,0.000004619759,0.0002234696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6724067,"threshold_uncertainty_score":0.9975762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02249786720195857,"score_gpt":0.2169914448710681,"score_spread":0.1944935776691095,"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."}}