{"id":"W2461167469","doi":"10.3390/s16071076","title":"Exploiting Outage and Error Probability of Cooperative Incremental Relaying in Underwater Wireless Sensor Networks","year":2016,"lang":"en","type":"article","venue":"Sensors","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of Alberta","funders":"Medical Research Council; King Saud University","keywords":"Retransmission; Relay; Computer science; Computer network; Throughput; Transmission (telecommunications); Underwater acoustic communication; Routing protocol; Underwater; Wireless; Real-time computing; Routing (electronic design automation); Telecommunications","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":[0.001347825,0.000687684,0.000523137,0.0005439208,0.0003200153,0.000625705,0.0010533,0.0005434311,0.0004203397],"category_scores_gemma":[0.007832442,0.0002627719,0.0002870448,0.0006184502,0.001018251,0.001395248,0.0009062682,0.0006013128,0.00007216083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007892502,"about_ca_system_score_gemma":0.0005638384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001868893,"about_ca_topic_score_gemma":0.001140132,"domain_scores_codex":[0.9990063,0.0002739422,0.00004958085,0.0001417679,0.0004251418,0.0001033414],"domain_scores_gemma":[0.9942638,0.004454092,0.0004665999,0.000309364,0.000457541,0.00004851683],"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":[0.0000747575,0.00002461271,0.001945475,0.0001667661,0.00004274863,0.0003536378,0.0002430649,0.9217949,0.006618005,0.03767178,0.0004802482,0.03058404],"study_design_scores_gemma":[0.000002748747,0.00004348286,0.0005076324,0.000008556251,0.00001781729,0.0001246374,0.00003150644,0.9864378,0.001646426,0.01088503,0.0002834557,0.00001091363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07999214,0.001018592,0.9160847,0.0002072492,0.00003052196,0.0000197738,0.00005264927,0.0001544835,0.002439893],"genre_scores_gemma":[0.9831421,0.0008462009,0.0152151,0.00003137705,0.0000422786,0.00002570997,0.00004064079,0.00001863974,0.0006378672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001868893,"threshold_uncertainty_score":0.00712806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02759330223802126,"score_gpt":0.2283191671002437,"score_spread":0.2007258648622225,"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."}}