{"id":"W2132635857","doi":"10.1109/sensorcomm.2008.13","title":"A Survey on Sensor Webs Simulation Tools","year":2008,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Sensor web; Field (mathematics); Process (computing); Systems engineering; Wireless sensor network; Open research; Data science; Software engineering; Engineering; World Wide Web; Key distribution in wireless sensor networks; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002221907,0.0001241809,0.0001270138,0.00008293071,0.0001503433,0.00007645627,0.0004157159,0.00006931448,0.00003020821],"category_scores_gemma":[0.0001209495,0.0001070514,0.0000464076,0.0004432584,0.00003237103,0.0002453947,0.00008726841,0.0001052091,0.0003251587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003379576,"about_ca_system_score_gemma":0.00002659646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005274257,"about_ca_topic_score_gemma":0.00003120115,"domain_scores_codex":[0.9987167,0.0001508449,0.0001783581,0.0003604876,0.0003296605,0.0002639426],"domain_scores_gemma":[0.9983383,0.0008520601,0.00005238821,0.0005781432,0.00009942967,0.00007963924],"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":[0.0000059527,0.00005097022,0.003270767,5.356673e-7,0.000003905449,0.00002103683,0.00005995589,0.9875842,0.00003053767,0.004163072,0.001357054,0.003452011],"study_design_scores_gemma":[0.0001713307,0.00005682293,0.1029039,0.00000504673,5.320344e-7,0.000004738055,0.000001413265,0.8947995,0.0004523836,0.00001228863,0.00144412,0.0001478735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3831189,0.00001133697,0.6044226,0.0001474635,0.000335624,0.00008911241,0.000001716194,0.0003785728,0.01149468],"genre_scores_gemma":[0.9855429,0.000006670387,0.01072621,0.0005860453,0.00006710549,0.000002048329,0.000008842249,0.00000987821,0.003050332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.602424,"threshold_uncertainty_score":0.4365431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06740401731637057,"score_gpt":0.2675846169532983,"score_spread":0.2001805996369277,"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."}}