{"id":"W2782183607","doi":"10.1145/3154834","title":"Underwater Wireless Sensor Networks","year":2018,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":131,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Canada Research Chairs","keywords":"Topology control; Computer science; Network topology; Context (archaeology); Computer network; Topology (electrical circuits); Wireless sensor network; Underwater; Wireless; Distributed computing; Wireless network; Key distribution in wireless sensor networks; Telecommunications; Electrical engineering; Engineering","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":[0.0006874687,0.0006866101,0.0005547556,0.001493823,0.0004157077,0.001175952,0.001373338,0.001196233,0.009667166],"category_scores_gemma":[0.002004682,0.0002470145,0.0003285692,0.00241089,0.0003843093,0.002569154,0.001053344,0.001041626,0.007053025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005363906,"about_ca_system_score_gemma":0.001158814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001066406,"about_ca_topic_score_gemma":0.001179062,"domain_scores_codex":[0.9991676,0.0001479225,0.00006424353,0.0001130859,0.0004476271,0.00005961085],"domain_scores_gemma":[0.9990653,0.0002967385,0.00006423818,0.00007117663,0.0004463809,0.00005613415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001662394,0.00003012823,0.000285285,0.003061791,0.00003997049,0.00009414558,0.00006904555,0.001472538,0.00140775,0.01849641,0.05977675,0.9152496],"study_design_scores_gemma":[0.000003162151,0.00003101409,0.0002920811,0.0007234056,0.00002054944,0.0003439184,0.00006038399,0.001235898,0.0005142831,0.006884011,0.9898779,0.00001331822],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001707828,0.895897,0.02844526,0.003528822,0.004779509,0.0001224213,0.0002183133,0.0003117346,0.06498905],"genre_scores_gemma":[0.01570887,0.9444262,0.008496597,0.001166302,0.002516509,0.00008749028,0.0005512942,0.00004206289,0.02700471],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009667166,"threshold_uncertainty_score":0.03233987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06766023760726628,"score_gpt":0.2975324971220443,"score_spread":0.229872259514778,"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."}}