{"id":"W2099810916","doi":"10.1109/joe.2011.2107950","title":"Spatial Reuse Time-Division Multiple Access for Broadcast Ad Hoc Underwater Acoustic Communication Networks","year":2011,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Time division multiple access; Computer science; Computer network; Wireless ad hoc network; Underwater acoustic communication; Broadcast communication network; Reuse; Channel access method; Broadcast radiation; Distributed computing; Underwater; Engineering; Telecommunications; Wireless; Network packet; Geography","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":[0.0006671889,0.0005430094,0.0004594003,0.0005314864,0.000580537,0.0007477668,0.000698052,0.0004729471,0.001518191],"category_scores_gemma":[0.002332925,0.0002013873,0.0002911923,0.0009030522,0.00056906,0.0004954283,0.0004878873,0.0006693754,0.0004490014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007375041,"about_ca_system_score_gemma":0.0007940756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002246798,"about_ca_topic_score_gemma":0.002862508,"domain_scores_codex":[0.9993107,0.000275757,0.00002521201,0.00005190598,0.0003020253,0.00003438172],"domain_scores_gemma":[0.9990501,0.0005154706,0.0001090476,0.0001129787,0.0001931538,0.00001914915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000283115,0.0001356467,0.002044779,0.00111337,0.0002139077,0.0008524461,0.0003833773,0.3313743,0.0490809,0.1909856,0.007783655,0.415749],"study_design_scores_gemma":[0.00003970302,0.0002689731,0.0005927781,0.00006688945,0.00006812708,0.0004212138,0.00008102475,0.9251907,0.007714996,0.0464119,0.01909101,0.00005272049],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01934648,0.008274337,0.9654944,0.0003671187,0.0001642126,0.0000841094,0.00005389294,0.0003454015,0.005870117],"genre_scores_gemma":[0.7143204,0.009859848,0.2684192,0.0002038854,0.0003314387,0.0005243389,0.0002087527,0.00008606475,0.006046081],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002246798,"threshold_uncertainty_score":0.005351007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03202817901531217,"score_gpt":0.2298072387070078,"score_spread":0.1977790596916956,"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."}}