{"id":"W2025543203","doi":"10.1109/tsmcc.2011.2130523","title":"Information Flow Control for Collaborative Distributed Data Fusion and Multisensor Multitarget Tracking","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Sensor fusion; Redundancy (engineering); Fusion; Tracking (education); Data redundancy; Data mining; Process (computing); Information flow; Distributed computing; Real-time computing; Artificial intelligence; Database","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":[0.0006008713,0.0002136831,0.0003397759,0.00008103257,0.0005637392,0.000304555,0.0002476999,0.0001179839,0.000003262539],"category_scores_gemma":[0.00001387075,0.00017536,0.00003548434,0.0002386879,0.00008120527,0.0008382211,0.00001304213,0.0001454894,0.00001468679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001603661,"about_ca_system_score_gemma":0.00001499696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001547794,"about_ca_topic_score_gemma":0.000008992496,"domain_scores_codex":[0.9986061,0.0001220046,0.0005402653,0.0003211705,0.0001431277,0.0002673438],"domain_scores_gemma":[0.9984887,0.0002524033,0.0002193922,0.0006740347,0.0001485931,0.0002168298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005088202,0.0003745107,0.0002089496,0.0007229923,0.0001125832,4.012167e-7,0.001773978,0.002709672,0.0002204901,0.01041854,0.01127899,0.972128],"study_design_scores_gemma":[0.0007837649,0.00004962654,0.000218581,0.0001460705,0.00008094296,0.00002306159,0.0001884074,0.2225567,0.00005205496,0.00002363683,0.7756347,0.0002424655],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004702687,0.009113399,0.9856795,0.0002165169,0.0004168686,0.00192994,0.002054922,0.00007812973,0.00004046996],"genre_scores_gemma":[0.9401555,0.02583316,0.03167032,0.0002556671,0.0002532145,0.001134646,0.000558854,0.00002139332,0.0001172209],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9718856,"threshold_uncertainty_score":0.7150974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03760157142865022,"score_gpt":0.2747721772599405,"score_spread":0.2371706058312903,"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."}}