{"id":"W1519624057","doi":"10.1007/978-3-540-87603-8_31","title":"Dynamic Resource Configuration & Management for Distributed Information Fusion in Maritime Surveillance","year":2008,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Logic, Reasoning, and Knowledge","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Scalability; Distributed computing; Focus (optics); Resource (disambiguation); Architecture; Set (abstract data type); Sensor fusion; Volume (thermodynamics); Resource management (computing); Multitude; Computer network; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008977597,0.0004299446,0.0004428619,0.000802709,0.0002899302,0.0004316288,0.001856036,0.0003013886,0.000009657477],"category_scores_gemma":[0.0001144919,0.0004082576,0.0001110911,0.0006688783,0.0002890044,0.0008882841,0.0007163821,0.0004179743,0.00005561785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005517786,"about_ca_system_score_gemma":0.0001987712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000186992,"about_ca_topic_score_gemma":0.0003651711,"domain_scores_codex":[0.9971169,0.0000433629,0.0006534825,0.000918538,0.0006679937,0.0005996827],"domain_scores_gemma":[0.9979909,0.0003585776,0.0003557273,0.0009272652,0.0002606281,0.0001069214],"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":[0.00004297622,0.00005956228,0.0001720933,0.0002012608,0.00001457398,0.00004196238,0.001891581,0.03528319,0.00002571913,0.02818022,0.0006197576,0.9334671],"study_design_scores_gemma":[0.001059473,0.0001522046,0.003809463,0.0004050662,0.000005131972,0.00006415378,5.890365e-7,0.8734603,0.00006377588,0.03139145,0.08869346,0.000894948],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00009261517,0.0002334136,0.9899282,0.0004304487,0.0007429296,0.0009411378,0.00002826547,0.0001484107,0.00745462],"genre_scores_gemma":[0.4206187,0.0006347097,0.5725683,0.002081134,0.0003636427,0.0001598331,0.001352837,0.00006775554,0.002153121],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9325721,"threshold_uncertainty_score":0.9998369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01048519483469418,"score_gpt":0.2261607171909698,"score_spread":0.2156755223562757,"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."}}