{"id":"W2191023362","doi":"10.3390/s151229820","title":"A Coral Reef Algorithm Based on Learning Automata for the Coverage Control Problem of Heterogeneous Directional Sensor Networks","year":2015,"lang":"en","type":"article","venue":"Sensors","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"China Scholarship Council; Chongqing Technology and Business University; Chongqing Science and Technology Commission","keywords":"Wireless sensor network; Computer science; Optimization problem; RADIUS; Mathematical optimization; Algorithm; Mathematics; Computer network","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":[0.0006748231,0.0006987559,0.0007401194,0.000512777,0.0004418351,0.0007144848,0.001300366,0.000993166,0.001639875],"category_scores_gemma":[0.002757753,0.0002392697,0.0005805143,0.0003890004,0.000695541,0.0007150345,0.001199088,0.00104426,0.0002282443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007887802,"about_ca_system_score_gemma":0.0009185843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006382585,"about_ca_topic_score_gemma":0.005310842,"domain_scores_codex":[0.9997252,0.00006782745,0.00002017355,0.00007408001,0.00007858682,0.00003429071],"domain_scores_gemma":[0.9992226,0.0004507598,0.0000751778,0.00005403907,0.0001521139,0.0000452857],"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":[0.00004161644,0.00003163235,0.0006348758,0.00004803367,0.00003184934,0.00006104936,0.00006769604,0.9345254,0.002042544,0.01241289,0.0008649835,0.04923752],"study_design_scores_gemma":[0.000004558548,0.00001557522,0.00003209645,0.000002581757,0.000003147407,0.000009651478,0.000003552379,0.9984605,0.0001612195,0.001106783,0.0001977551,0.000002484571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01912625,0.0002454628,0.977046,0.0001639577,0.00005326787,0.00005219355,0.0000292127,0.0002647917,0.003018841],"genre_scores_gemma":[0.7566994,0.0003414147,0.2392706,0.0001451511,0.00003829901,0.0003776454,0.0001310035,0.00006449126,0.002932078],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006382585,"threshold_uncertainty_score":0.01269084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0139718533478967,"score_gpt":0.2272525278569285,"score_spread":0.2132806745090318,"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."}}