{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006193196,0.0001567417,0.0003050772,0.0001138771,0.0001775214,0.0001042486,0.0005608516,0.00002665518,0.00003171043],"category_scores_gemma":[0.00006715572,0.0001285209,0.00007183039,0.000734366,0.00006266611,0.0002067913,0.0001652439,0.0001618406,0.000004945258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007764243,"about_ca_system_score_gemma":0.000043884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006837682,"about_ca_topic_score_gemma":2.931177e-7,"domain_scores_codex":[0.9982364,0.0000570121,0.0003404573,0.0003315359,0.0006697573,0.0003648077],"domain_scores_gemma":[0.9990253,0.00036489,0.0001272292,0.0003263272,0.00005309907,0.0001030898],"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":[0.000006887139,0.0000811094,0.0001070071,0.00003148208,0.00002990611,0.00002423032,0.0001885241,0.966657,0.01287048,0.01889193,0.00001772238,0.001093705],"study_design_scores_gemma":[0.0003753092,0.0001330699,0.0001210451,0.00003126933,0.000009273084,0.0001057445,0.00006505264,0.9974782,0.0007619273,0.00009983564,0.0006531207,0.0001661791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02658491,0.00008065541,0.972162,0.00007958058,0.0003296653,0.0002967522,0.00001515934,0.0001824339,0.0002688519],"genre_scores_gemma":[0.9738408,8.215437e-7,0.0259895,0.00003762361,0.00003534527,0.00004325183,0.000001435592,0.000009375199,0.00004180591],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9472559,"threshold_uncertainty_score":0.5240931,"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."}}