{"id":"W2980204768","doi":"10.1109/oceanse.2019.8867186","title":"Cross-layer Design for Software-defined Underwater Acoustic Networking","year":2019,"lang":"en","type":"article","venue":"OCEANS 2019 - Marseille","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Computer network; Network packet; Relay; Channel (broadcasting); Node (physics); Binary erasure channel; Underwater acoustic communication; Real-time computing; Channel capacity; Underwater; Engineering","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":[0.001727997,0.0007037434,0.0003119097,0.0004108987,0.0003953782,0.00107611,0.001254892,0.0005160433,0.002337361],"category_scores_gemma":[0.001873036,0.0003239886,0.0003800206,0.0002415709,0.0002997469,0.0008371494,0.000776286,0.0008161394,0.0006608434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006532858,"about_ca_system_score_gemma":0.0006531772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001473836,"about_ca_topic_score_gemma":0.001805044,"domain_scores_codex":[0.9990618,0.0002540706,0.0000764643,0.000155018,0.000344426,0.0001083012],"domain_scores_gemma":[0.9991025,0.0002425001,0.0001071048,0.0001112662,0.0004039532,0.00003268127],"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":[0.0005451454,0.0003824962,0.00416476,0.0007382229,0.0003732723,0.0005827214,0.0003890564,0.4599115,0.1374449,0.0621331,0.006635736,0.326699],"study_design_scores_gemma":[0.0000206096,0.0002408513,0.0003959189,0.00002987772,0.0000645805,0.0001702184,0.00003089477,0.9637402,0.02335617,0.003520607,0.008409193,0.00002095047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01246136,0.0005107665,0.9835585,0.0000856816,0.0001172279,0.00009210123,0.00002648461,0.0009421619,0.002205775],"genre_scores_gemma":[0.673904,0.0007416695,0.3176702,0.0002812726,0.00009822914,0.0003705026,0.0001951382,0.000215715,0.006523275],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002337361,"threshold_uncertainty_score":0.009138644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02754994755761998,"score_gpt":0.2424263781190785,"score_spread":0.2148764305614586,"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."}}