{"id":"W2138699983","doi":"10.1109/lcn.2008.4664156","title":"Delay constrained placement of mobile data collectors in underwater acoustic sensor networks","year":2008,"lang":"en","type":"article","venue":"","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Underwater; Computer science; Relay; Routing (electronic design automation); Propagation delay; Real-time computing; Acoustic sensor; Solver; Wireless sensor network; Underwater acoustic communication; Integer programming; Upper and lower bounds; Computer network; Algorithm; Mathematics; Acoustics","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":[0.0009781688,0.001122456,0.0008788112,0.0005275842,0.0009409079,0.0006647842,0.001579011,0.0008477293,0.0006248067],"category_scores_gemma":[0.002248969,0.0006872172,0.000515222,0.0008604644,0.0007590797,0.001263508,0.001672535,0.0005158003,0.0002709171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008310181,"about_ca_system_score_gemma":0.0009203732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00199525,"about_ca_topic_score_gemma":0.002380309,"domain_scores_codex":[0.9994026,0.0002250303,0.00003965881,0.0001300077,0.0001310616,0.00007155347],"domain_scores_gemma":[0.999121,0.0003457182,0.0002298974,0.0001114406,0.0001208547,0.00007105709],"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":[0.0001641984,0.000034771,0.0008078349,0.0001283529,0.00003489298,0.0002164193,0.0002288834,0.9280106,0.01321799,0.009469155,0.0005618502,0.04712498],"study_design_scores_gemma":[0.00003173719,0.0002350796,0.0002310424,0.00001869746,0.00002404897,0.00009732515,0.0001291222,0.9825366,0.007698668,0.005594679,0.003374011,0.00002885191],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03784278,0.0005018013,0.9601246,0.0001535413,0.00006447617,0.00007431786,0.00004235546,0.0001422809,0.001053916],"genre_scores_gemma":[0.6591746,0.0008769389,0.3355048,0.00008553731,0.00006845929,0.0003100494,0.00009464435,0.00005394035,0.003831039],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00199525,"threshold_uncertainty_score":0.006029546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0362179892912305,"score_gpt":0.2374676988701681,"score_spread":0.2012497095789376,"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."}}