{"id":"W4404688914","doi":"10.1109/oceans55160.2024.10754487","title":"Data Transportation Across Clusters of Distributed Underwater Acoustic Sensor Networks","year":2024,"lang":"en","type":"article","venue":"","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Underwater; Acoustic sensor; Computer science; Underwater acoustic communication; Wireless sensor network; Acoustics; Computer network; Geology; Physics; Oceanography","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":[0.0006135242,0.000364404,0.0004648079,0.0006043294,0.001206168,0.0008943378,0.001158561,0.0005922551,0.00119912],"category_scores_gemma":[0.001595512,0.000332479,0.0003640634,0.0006621255,0.0007168176,0.001745849,0.002099267,0.0005006006,0.000312284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009849351,"about_ca_system_score_gemma":0.0007809656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005602323,"about_ca_topic_score_gemma":0.005827914,"domain_scores_codex":[0.9994605,0.0001339777,0.00002739663,0.0001840411,0.0001226895,0.00007133699],"domain_scores_gemma":[0.9993325,0.0002249184,0.00008889932,0.0001457234,0.000134305,0.00007368432],"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":[0.0002670123,0.00007641732,0.002749799,0.0001183023,0.00009822927,0.0002818946,0.0004213432,0.8936325,0.02182301,0.02110809,0.002100154,0.05732323],"study_design_scores_gemma":[0.00002244803,0.0001388506,0.0009857129,0.000009183354,0.00002343853,0.00005971755,0.0004061421,0.9771312,0.006434809,0.01051035,0.004258891,0.00001923573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3669261,0.0003769345,0.6235159,0.0006594139,0.000144,0.0001683244,0.0001242629,0.0007969228,0.007288168],"genre_scores_gemma":[0.9135822,0.0002747612,0.07923838,0.00007712231,0.00003201132,0.0001133708,0.0001986943,0.00004999614,0.006433372],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005602323,"threshold_uncertainty_score":0.01113945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03259261541666234,"score_gpt":0.2687161725668404,"score_spread":0.236123557150178,"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."}}