{"id":"W1568489604","doi":"","title":"Weak sense L p error bounds for leader-node distributed particle filters","year":2008,"lang":"en","type":"article","venue":"","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Particle filter; Node (physics); Filter (signal processing); Position (finance); Parametric statistics; Computer science; Control theory (sociology); Tracking (education); Computation; Particle (ecology); Representation (politics); Mathematics; Algorithm; Topology (electrical circuits); Combinatorics; Engineering; Artificial intelligence; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01235163,0.003352833,0.001933208,0.002686656,0.001309133,0.003868948,0.002932689,0.003073544,0.004228101],"category_scores_gemma":[0.0669524,0.0009115761,0.001632354,0.001847463,0.004544183,0.006764268,0.006068234,0.007021819,0.002067041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002838581,"about_ca_system_score_gemma":0.002098251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003611417,"about_ca_topic_score_gemma":0.002269047,"domain_scores_codex":[0.9952419,0.00131957,0.0002703557,0.0007574494,0.001990744,0.0004200026],"domain_scores_gemma":[0.9366528,0.04835433,0.002460162,0.002829893,0.008644588,0.0010583],"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":[0.0004673926,0.0001025568,0.001494383,0.0007327004,0.0001575579,0.0003593421,0.0005508565,0.6423289,0.00435046,0.2826811,0.006637745,0.06013702],"study_design_scores_gemma":[0.00001289946,0.00007009455,0.0002049148,0.00009416138,0.00002039695,0.00006319279,0.00004808646,0.9404778,0.001333851,0.05549532,0.002150208,0.00002901668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002369096,0.001463862,0.9903482,0.0004316506,0.000163113,0.00002743561,0.00006029003,0.0001323102,0.005003952],"genre_scores_gemma":[0.5853718,0.009226363,0.3766732,0.001324795,0.001382059,0.001008856,0.000806717,0.0008543542,0.02335193],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01235163,"threshold_uncertainty_score":0.06532246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05468299239212799,"score_gpt":0.2680359869391351,"score_spread":0.2133529945470071,"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."}}