{"id":"W2094875801","doi":"10.1080/00207721.2012.724097","title":"Unconstrained underwater multi-target tracking in passive sonar systems using two-stage PF-based technique","year":2012,"lang":"en","type":"article","venue":"International Journal of Systems Science","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Queen's University; Trusted Positioning (Canada)","funders":"","keywords":"Sonar; Computer science; Tracking (education); Particle filter; Resampling; Track-before-detect; Artificial intelligence; Cluster analysis; Noise (video); Filter (signal processing); Underwater; Range (aeronautics); Computer vision; Kalman filter; Pattern recognition (psychology); 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":[0.003773391,0.0001684885,0.0002697363,0.001081562,0.000135067,0.0005277743,0.001106607,0.00006980643,0.000100932],"category_scores_gemma":[0.0001440714,0.0001291364,0.00007173125,0.0005070219,0.0004151389,0.00166355,0.00003694627,0.0003667859,0.00002593115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002779159,"about_ca_system_score_gemma":0.0007941116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003111544,"about_ca_topic_score_gemma":0.0002241744,"domain_scores_codex":[0.996273,0.0002145297,0.0007711725,0.0002233283,0.001892703,0.0006252442],"domain_scores_gemma":[0.997976,0.0002264122,0.000491634,0.0001337137,0.0008666787,0.0003055444],"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":[0.00003079145,0.00005825342,0.2734152,0.00003071585,0.0000212517,0.0001898983,0.0002776198,0.6986408,0.02692909,0.00003412222,0.000006824174,0.0003654345],"study_design_scores_gemma":[0.0009586978,0.00008135544,0.01314078,0.0005197882,0.000007630579,0.001044739,0.001324038,0.9722688,0.01001623,0.00003535326,0.0003636998,0.0002388741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3165573,0.0004612227,0.6775076,0.0001355321,0.004171893,0.0004870664,0.00009213929,0.00002027737,0.0005669264],"genre_scores_gemma":[0.9840866,0.000004553291,0.01530515,0.00003082118,0.0004943789,0.000001828502,0.000004916554,0.000006786388,0.00006500728],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6675293,"threshold_uncertainty_score":0.5266029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06788661023425652,"score_gpt":0.3410977075926238,"score_spread":0.2732110973583672,"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."}}