{"id":"W2921366156","doi":"10.3390/s19061313","title":"Towards Void Hole Alleviation by Exploiting the Energy Efficient Path and by Providing the Interference-Free Proactive Routing Protocols in IoT Enabled Underwater WSNs","year":2019,"lang":"en","type":"article","venue":"Sensors","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"King Saud University","keywords":"Computer network; Computer science; Link-state routing protocol; Routing protocol; Equal-cost multi-path routing; Dynamic Source Routing; Static routing; Routing Information Protocol; Multipath routing; Policy-based routing; Distributed computing; Network packet","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004609322,0.0001702508,0.0001671505,0.00003824677,0.0001323097,0.0001698173,0.0003535919,0.00006665177,0.000006730921],"category_scores_gemma":[0.000007791925,0.000102808,0.00003300338,0.0001336867,0.00003105263,0.00006654897,0.0001586427,0.0002215931,0.000006236162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001207004,"about_ca_system_score_gemma":0.00001413539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005481859,"about_ca_topic_score_gemma":0.00008077153,"domain_scores_codex":[0.9988362,0.0002047918,0.0003103137,0.0001852292,0.0001792125,0.0002842094],"domain_scores_gemma":[0.9993147,0.0001002331,0.00008634193,0.0004299077,0.00003640927,0.00003244406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001384288,0.0002557289,0.008131603,0.0004748781,0.0003523102,0.00000288344,0.1193115,0.2136213,0.601387,0.001293148,0.001021696,0.05400951],"study_design_scores_gemma":[0.0009529311,0.00008100118,0.0003653463,0.000329783,0.00001047618,0.000005721126,0.02581163,0.8033199,0.1618586,0.0001271482,0.00679324,0.0003442607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890135,0.00007560589,0.005608343,0.0004219666,0.00002832046,0.003895695,0.000007758033,0.00009867326,0.0008501675],"genre_scores_gemma":[0.9977163,0.00001122901,0.00009140924,0.00005592531,0.00002581265,0.001826444,0.000008288273,0.00003204105,0.0002325145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5896986,"threshold_uncertainty_score":0.4192388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01473741144974865,"score_gpt":0.2155155372325502,"score_spread":0.2007781257828015,"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."}}