{"id":"W2343639019","doi":"10.1109/tac.2016.2521370","title":"Distributed Coverage Control of Mobile Sensor Networks Subject to Measurement Error","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Voronoi diagram; Wireless sensor network; Polygon (computer graphics); Computer science; Software deployment; Position (finance); Real-time computing; Algorithm; Mathematics; Computer network","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001892005,0.001201308,0.00132181,0.0006542107,0.0004478887,0.001044041,0.00102197,0.0009032923,0.0004975897],"category_scores_gemma":[0.008648817,0.0004251934,0.000468046,0.0008129555,0.001538719,0.0008487684,0.001301953,0.0007122477,0.00009358182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001223949,"about_ca_system_score_gemma":0.000728655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005065857,"about_ca_topic_score_gemma":0.001883339,"domain_scores_codex":[0.9986231,0.0004748048,0.00005354355,0.0003137517,0.0003805686,0.0001541968],"domain_scores_gemma":[0.9959909,0.002782017,0.0005946966,0.0001758908,0.0003835814,0.00007282961],"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":[0.00008501734,0.00001266413,0.0003099735,0.00005406165,0.00002459316,0.00006228062,0.00005319681,0.9815364,0.001698085,0.006290453,0.0001304585,0.009742765],"study_design_scores_gemma":[0.000009009094,0.00003245704,0.00009560476,0.000002956932,0.000003747342,0.000008172709,0.000004163108,0.9980291,0.0002791566,0.001462327,0.00007060547,0.000002596518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06003777,0.0008645132,0.9365674,0.0002289426,0.00004229119,0.00004086092,0.0000346927,0.0001621854,0.002021469],"genre_scores_gemma":[0.9875556,0.0003269852,0.01107889,0.00002522897,0.00003388712,0.0000637818,0.00003009221,0.00002077853,0.0008647785],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005065857,"threshold_uncertainty_score":0.01007277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01175787220370154,"score_gpt":0.221407863050981,"score_spread":0.2096499908472794,"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."}}