{"id":"W2133149354","doi":"10.1109/sensorcomm.2008.12","title":"A Multi-agent Geosimulation Approach for Sensor Web Management","year":2008,"lang":"en","type":"article","venue":"","topic":"Environmental Monitoring and Data Management","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Sensor web; Computer science; Wireless sensor network; Resource management (computing); Context (archaeology); Process (computing); Distributed computing; Task (project management); Resource (disambiguation); Real-time computing; Systems engineering; Key distribution in wireless sensor networks; Computer network; Engineering; Telecommunications","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":[0.0005999772,0.000724467,0.000629842,0.0004813658,0.000582156,0.0009215811,0.001334263,0.0009103474,0.001896342],"category_scores_gemma":[0.001258267,0.0003077921,0.0009265049,0.000394119,0.0007027642,0.0009001834,0.001372572,0.001016163,0.0003595914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007158025,"about_ca_system_score_gemma":0.0009459984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004797507,"about_ca_topic_score_gemma":0.003497953,"domain_scores_codex":[0.9996769,0.0001271842,0.00002202899,0.00005474178,0.00008263761,0.00003647392],"domain_scores_gemma":[0.9996265,0.0001660236,0.00006794234,0.00003373284,0.00006730801,0.00003848775],"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":[0.0000125057,0.00002391995,0.0002012506,0.00002930365,0.00002810621,0.00006686538,0.00005348955,0.9559109,0.001444185,0.03339938,0.0002815379,0.00854852],"study_design_scores_gemma":[0.000003352143,0.000009477284,0.0000172071,0.000002396799,0.000003781848,0.000006589945,0.000006125108,0.9946808,0.0001843472,0.004343959,0.0007384726,0.000003421617],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004277965,0.00008004835,0.9928387,0.0001530852,0.00002751728,0.00002782805,0.00001958023,0.0001346414,0.002440818],"genre_scores_gemma":[0.5196087,0.0004560986,0.4734428,0.0001670443,0.00008043359,0.0005093643,0.0001162252,0.0001333049,0.005486002],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004797507,"threshold_uncertainty_score":0.009539187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04562125647886324,"score_gpt":0.224398990627035,"score_spread":0.1787777341481718,"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."}}