{"id":"W2028946737","doi":"10.1117/12.921069","title":"MeMBer filter for manoeuvring targets","year":2012,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"McMaster University; Evelyn F. McKnight Brain Research Foundation","keywords":"Computer science; Recursion (computer science); Filter (signal processing); Implementation; Bernoulli's principle; Jump; Tracking (education); Algorithm; Artificial intelligence; Computer vision; Programming language","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001365461,0.0004660555,0.0007636572,0.0004421535,0.0003730639,0.0007063861,0.001440921,0.0010191,0.002186885],"category_scores_gemma":[0.003490349,0.0003329431,0.0005812381,0.0004424221,0.0003280556,0.001345977,0.0008700122,0.001506461,0.001288297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006255151,"about_ca_system_score_gemma":0.0009490747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002869043,"about_ca_topic_score_gemma":0.004132221,"domain_scores_codex":[0.9991866,0.0001719622,0.00003470441,0.0001487608,0.0003997043,0.00005823291],"domain_scores_gemma":[0.999045,0.0004121697,0.00008816321,0.0001444744,0.0002748939,0.0000353577],"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":[0.0002841483,0.0001124812,0.002479541,0.0001711582,0.00007941887,0.0001122671,0.0002291323,0.3970337,0.02944968,0.04497596,0.003822225,0.5212503],"study_design_scores_gemma":[0.000004723993,0.00003492846,0.0002926829,0.000007152895,0.00000829922,0.0000440808,0.000006535289,0.9890319,0.004825231,0.002634568,0.003099,0.00001084228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002503121,0.00005261116,0.9965534,0.00002878881,0.00002438891,0.000007031814,0.00001555698,0.00028024,0.0005348222],"genre_scores_gemma":[0.2211213,0.000328345,0.7697785,0.0001982203,0.0001041768,0.00008871694,0.0003830779,0.0001652259,0.007832391],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002869043,"threshold_uncertainty_score":0.007315874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01809223579545133,"score_gpt":0.2401601626677581,"score_spread":0.2220679268723067,"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."}}