{"id":"W7162111769","doi":"10.1145/3784941.3784963","title":"Power Allocation for SNR Optimization in OCDM-Based Underwater Acoustic Communications","year":2025,"lang":"","type":"article","venue":"","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Chirp; Underwater acoustic communication; Fading; Multiplexing; Orthogonal frequency-division multiplexing; Channel (broadcasting); Power (physics); Time-division multiplexing; Multipath propagation","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":[0.0003238302,0.0004316768,0.0002590036,0.0002489912,0.0002084072,0.0004214353,0.00039671,0.0003658023,0.0007034574],"category_scores_gemma":[0.001446178,0.0001929411,0.0001296776,0.0003093338,0.0005727242,0.000487892,0.0004761754,0.000298528,0.0001505176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004895327,"about_ca_system_score_gemma":0.0004857006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007594585,"about_ca_topic_score_gemma":0.001213238,"domain_scores_codex":[0.9997604,0.00008338688,0.0000107142,0.00003463158,0.00008285647,0.00002798467],"domain_scores_gemma":[0.999713,0.0001734641,0.00004251385,0.00001471609,0.00004900441,0.000007241274],"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":[0.0001377697,0.00006484788,0.0007942651,0.0001186679,0.00003423177,0.0001260057,0.0001061797,0.8203494,0.05014364,0.03188407,0.0006417349,0.09559923],"study_design_scores_gemma":[0.00001802923,0.00006507116,0.0002160723,0.000009170849,0.00001042645,0.00003836586,0.00002684332,0.9794096,0.01249371,0.007079833,0.0006245828,0.00000832459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08010554,0.0003248064,0.9140197,0.0001681072,0.00001919902,0.00002555229,0.00002367559,0.0001089135,0.005204456],"genre_scores_gemma":[0.8920934,0.0002571774,0.1057449,0.00007065955,0.0000176633,0.00003736405,0.00002090693,0.00002734377,0.001730548],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007594585,"threshold_uncertainty_score":0.003551841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02254111252563947,"score_gpt":0.2686520021450312,"score_spread":0.2461108896193917,"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."}}