{"id":"W1928507156","doi":"10.1002/wcm.2461","title":"EM channel characteristics and their impact on MAC layer performance in underwater surveillance networks","year":2014,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"Defence Research and Development Canada","keywords":"Computer network; Computer science; Network packet; Retransmission; Handshaking; Media access control; Multipath propagation; Propagation delay; Underwater; Underwater acoustic communication; Acknowledgement; Carrier sense multiple access with collision avoidance; Channel (broadcasting); Real-time computing; Wireless; Telecommunications; Throughput","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0007210431,0.0002225625,0.0002198123,0.0002757012,0.0002894124,0.0005071457,0.0002350477,0.0002445115,0.0004501624],"category_scores_gemma":[0.003058714,0.0001454423,0.00009450929,0.0002594495,0.0003607317,0.0004970207,0.0003751586,0.0002086584,0.00006542532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008149804,"about_ca_system_score_gemma":0.0003413219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004699909,"about_ca_topic_score_gemma":0.003644357,"domain_scores_codex":[0.9997094,0.00009005217,0.00001356768,0.00003207395,0.00009186673,0.00006292736],"domain_scores_gemma":[0.9978492,0.001440121,0.0002565183,0.00007747902,0.0003202449,0.00005656087],"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":[0.0006949696,0.000145736,0.03995152,0.0001214837,0.00007565891,0.0004536276,0.0001801011,0.8700636,0.04674993,0.002615063,0.0008568309,0.03809156],"study_design_scores_gemma":[0.00001242976,0.0002360912,0.00937062,0.00001058824,0.00003414007,0.0001300251,0.0001099641,0.9707384,0.01850665,0.0004173117,0.0004165347,0.0000171395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976443,0.0002964779,0.02084253,0.00008534109,0.0000174684,0.00001652308,0.00006686711,0.0001453139,0.002086541],"genre_scores_gemma":[0.9987149,0.00006402853,0.0009640151,0.000009966713,0.000002152709,0.000005184296,0.00003267533,0.000004664925,0.0002023635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004699909,"threshold_uncertainty_score":0.009345114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01523380269630323,"score_gpt":0.2314420631776862,"score_spread":0.2162082604813829,"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."}}