{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009057156,0.0003236717,0.0003823043,0.00009741342,0.0001436401,0.0001963601,0.001744682,0.0002028949,0.00001601995],"category_scores_gemma":[0.000427316,0.0002661374,0.0006573258,0.0002991361,0.0001232205,0.001371307,0.0004014419,0.0002866596,0.000003889907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009519317,"about_ca_system_score_gemma":0.00001919976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004146146,"about_ca_topic_score_gemma":4.544226e-8,"domain_scores_codex":[0.9975806,1.406107e-8,0.0006554329,0.0004337715,0.0006472121,0.0006829],"domain_scores_gemma":[0.997887,0.0002820755,0.0003507357,0.0001137308,0.00117266,0.0001938579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004393596,0.0001470352,0.0006347752,0.000370322,0.0002605036,4.790241e-8,0.0003827944,0.0001512618,0.1384301,0.8318557,0.02682889,0.000894637],"study_design_scores_gemma":[0.003762811,0.0006687489,0.00387073,0.0008806749,0.0003605703,0.00009331236,0.001244473,0.3205883,0.4077051,0.009721941,0.2491875,0.001915789],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9869953,0.0002598739,0.005965577,0.002108875,0.001134876,0.0005836459,0.00005447746,0.0001891048,0.002708212],"genre_scores_gemma":[0.3213731,0.0000708853,0.6762028,0.0002823327,0.001354347,0.0002271357,0.00001502515,0.00006735907,0.0004070575],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8221337,"threshold_uncertainty_score":0.9999791,"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."}}