{"id":"W4387951184","doi":"10.1109/ccece58730.2023.10288842","title":"A Novel Underwater Packet Flooding Protocol","year":2023,"lang":"en","type":"article","venue":"","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Defence Research and Development Canada","funders":"","keywords":"Flooding (psychology); Routing protocol; Computer science; Computer network; Interior gateway protocol; Underwater; Network packet; Protocol (science); Network topology; Communications protocol; Propagation delay; Distributed computing; Link-state routing protocol; Geography; Medicine","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":[0.0003832786,0.0003305555,0.0003899243,0.0004251522,0.0005193774,0.0004751719,0.001303866,0.0005421351,0.001991767],"category_scores_gemma":[0.0009469164,0.0001682345,0.0002630298,0.0004150146,0.0002940166,0.001395579,0.001453196,0.0006838321,0.0006593865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003105015,"about_ca_system_score_gemma":0.0008971491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001094949,"about_ca_topic_score_gemma":0.001157925,"domain_scores_codex":[0.9996454,0.00005691071,0.00003818677,0.00005159939,0.0001710262,0.00003693467],"domain_scores_gemma":[0.9996818,0.00006865989,0.00004218386,0.00005020171,0.0001277641,0.00002934552],"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":[0.000538935,0.0002852595,0.001504324,0.0009039723,0.0001335068,0.001276987,0.0004850618,0.03948569,0.1789992,0.06629878,0.0376832,0.6724051],"study_design_scores_gemma":[0.0004066755,0.001113377,0.001522853,0.0001383508,0.0002496723,0.003372989,0.0003047817,0.4436954,0.09632208,0.03028161,0.4223862,0.0002059884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04430774,0.002340012,0.921971,0.00114841,0.0007650393,0.0008599415,0.0007003741,0.003361703,0.02454583],"genre_scores_gemma":[0.4612338,0.003058316,0.5031499,0.0006896127,0.0002692298,0.001364355,0.001743583,0.0002319628,0.02825932],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001991767,"threshold_uncertainty_score":0.006663144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04762629779960287,"score_gpt":0.2696320970534879,"score_spread":0.222005799253885,"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."}}