{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001914882,0.0005563808,0.001401642,0.0001362444,0.0001709732,0.0002069849,0.001535149,0.000448195,0.00002436871],"category_scores_gemma":[0.00000782531,0.0004749683,0.0003628541,0.0003690884,0.00006408507,0.00005196825,0.0006070259,0.0005936706,0.0005145366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001354872,"about_ca_system_score_gemma":0.00003355787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004481979,"about_ca_topic_score_gemma":0.00002204864,"domain_scores_codex":[0.996558,0.001413092,0.0008958601,0.0003951996,0.0001909559,0.0005468828],"domain_scores_gemma":[0.9971423,0.000685288,0.0001955185,0.001780297,0.00008417947,0.0001124319],"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":[1.712054e-7,0.00001008496,0.00001993314,0.003531852,0.0002560152,0.000004451637,0.00006681254,0.000677433,3.764458e-7,0.000004058204,0.001175432,0.9942534],"study_design_scores_gemma":[0.00008132656,0.00001233804,0.00001388907,0.00522038,0.00009767852,0.00004581699,0.00001044311,0.01496388,0.000002550519,0.0000134295,0.9789387,0.0005995567],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000406861,0.8765907,0.1209801,0.000005407934,0.0006316356,0.0003262347,0.000009472847,0.0007685936,0.0006472054],"genre_scores_gemma":[0.004006694,0.9924997,0.001795404,0.00001613485,0.0009323712,0.00001526086,0.0002032211,0.0002151359,0.0003160518],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9936538,"threshold_uncertainty_score":0.9997702,"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."}}