{"id":"W1579079628","doi":"","title":"Modified value iteration algorithm and Dynamic Element Matching based MDP for Distributed data fusion and sensor management","year":2008,"lang":"en","type":"article","venue":"International Conference on Information Fusion","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Markov decision process; Algorithm; Sensor fusion; Matching (statistics); Mathematical optimization; Markov process; Mathematics; Artificial intelligence","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":[0.000363999,0.0001869889,0.0001376767,0.0002393145,0.0004177804,0.0004317799,0.0006093276,0.00007892899,0.00002609649],"category_scores_gemma":[0.00003370146,0.0001738138,0.00002617764,0.0001186291,0.00003991125,0.001862422,0.0005206095,0.0001284314,0.00001345312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006307256,"about_ca_system_score_gemma":0.00003542226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002180549,"about_ca_topic_score_gemma":0.000002592578,"domain_scores_codex":[0.9983955,0.000044732,0.0004715841,0.0003716004,0.0005252048,0.0001914002],"domain_scores_gemma":[0.9988343,0.0001051503,0.0002352704,0.0004893215,0.0002482133,0.00008772224],"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":[0.0002505335,0.0001829067,0.0001135605,0.0001197061,0.00006823939,0.0000168494,0.00142156,0.02079707,0.0004025729,0.2794234,0.005214578,0.691989],"study_design_scores_gemma":[0.001143004,0.00006681885,0.001499138,0.0001061196,0.000007215629,0.00002302908,0.000101719,0.9855654,0.00006402119,0.001824923,0.009402258,0.0001963946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01210262,0.00001133907,0.9830964,0.002052356,0.0006042583,0.0004632349,0.0007649942,0.0001331723,0.0007716864],"genre_scores_gemma":[0.749029,0.0004718318,0.2398678,0.0009733614,0.00006518829,0.00005454553,0.009421781,0.000009487065,0.0001069927],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9647683,"threshold_uncertainty_score":0.7087922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03786654698309363,"score_gpt":0.2818911070255283,"score_spread":0.2440245600424347,"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."}}