{"id":"W4205992844","doi":"10.3934/mbe.2022134","title":"Coverage control of mobile sensor networks with directional sensing","year":2022,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Control theory (sociology); Mobile robot; Controller (irrigation); Position (finance); Invariant (physics); Orientation (vector space); Wireless sensor network; Control (management); Artificial intelligence; Mathematics; Robot","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":[0.0002795905,0.0005698481,0.000303536,0.0002796393,0.0002249715,0.0004678828,0.0004571078,0.0003486546,0.0004265897],"category_scores_gemma":[0.0007787554,0.0001349091,0.0002619078,0.0002762064,0.0004306923,0.0003961839,0.0006266993,0.000312412,0.00006094274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003419174,"about_ca_system_score_gemma":0.0002700985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00275128,"about_ca_topic_score_gemma":0.001379359,"domain_scores_codex":[0.9997858,0.00004772038,0.00000750715,0.00005542781,0.00006366756,0.00003987498],"domain_scores_gemma":[0.9997767,0.00007467406,0.00006803255,0.00001228332,0.0000515979,0.00001667954],"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":[0.0001322794,0.00003588933,0.001078956,0.0001546287,0.0000338747,0.0001949059,0.000161859,0.8989667,0.02430292,0.02201554,0.0007705469,0.05215192],"study_design_scores_gemma":[0.000007023543,0.00008720687,0.0002740863,0.000005238374,0.000006616944,0.00002499098,0.00002227144,0.9949856,0.001162,0.00289127,0.0005295625,0.000004128503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09094698,0.0008314241,0.9015417,0.0002076356,0.00005611417,0.0000394831,0.00003482169,0.00015039,0.006191491],"genre_scores_gemma":[0.9927181,0.0002509624,0.006180891,0.00002526027,0.00001343692,0.00002935151,0.00001998362,0.00000603056,0.0007559308],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00275128,"threshold_uncertainty_score":0.005470574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00488757924057895,"score_gpt":0.1837330574677769,"score_spread":0.1788454782271979,"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."}}