{"id":"W4399567602","doi":"10.1145/3631726.3631731","title":"Adaptive Virtual Carrier Sense in Underwater Broadcasting","year":2023,"lang":"en","type":"article","venue":"","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Broadcasting (networking); Sense (electronics); Computer science; Underwater; Sense of presence; Underwater acoustic communication; Telecommunications; Computer network; Virtual reality; Electrical engineering; Human–computer interaction; Engineering; Geology","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":[0.0004631037,0.0001909589,0.000277744,0.0003181224,0.0002564718,0.0003852169,0.0004104273,0.0002783511,0.000385151],"category_scores_gemma":[0.001139381,0.0001203628,0.0001192483,0.0003532917,0.0005393099,0.0004420465,0.0004689696,0.000250224,0.0001012374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003098976,"about_ca_system_score_gemma":0.0004421761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00302053,"about_ca_topic_score_gemma":0.002309785,"domain_scores_codex":[0.9997227,0.00008837407,0.000009020681,0.00003789196,0.0001139821,0.00002802771],"domain_scores_gemma":[0.9997265,0.0001428028,0.00002677401,0.00002970981,0.00006202554,0.00001222395],"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":[0.0002433617,0.00006319207,0.001687926,0.000204232,0.0000560588,0.0003746369,0.0004453574,0.6636604,0.078582,0.06452876,0.00311466,0.1870394],"study_design_scores_gemma":[0.00002567403,0.0001202539,0.000345227,0.00001016148,0.00001276941,0.00008158263,0.00005915005,0.9833456,0.004632522,0.007758825,0.003595541,0.00001253127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08629949,0.001779826,0.9034317,0.0003016983,0.000216452,0.00008112406,0.00002567056,0.0003441969,0.007519924],"genre_scores_gemma":[0.940556,0.000744318,0.05598826,0.00008679114,0.00005997759,0.0000558048,0.00002333867,0.00001574104,0.00246971],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00302053,"threshold_uncertainty_score":0.006005883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03101365849821286,"score_gpt":0.2276603052030995,"score_spread":0.1966466467048866,"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."}}