{"id":"W2016649359","doi":"10.1109/wcnc.2014.6952194","title":"Doppler compensation for D-STBC coded time-varying underwater acoustic channels","year":2014,"lang":"en","type":"article","venue":"","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Orthogonal frequency-division multiplexing; Computer science; Space–time block code; Electronic engineering; Doppler effect; Underwater acoustic communication; Telecommunications; Underwater; Channel (broadcasting); Engineering; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000191388,0.0001215631,0.0001573962,0.00005330904,0.00009200397,0.00008186271,0.0001745534,0.0000656976,0.0001287332],"category_scores_gemma":[0.000002527501,0.0001060581,0.00004983103,0.0000569958,0.00001321373,0.0001070012,0.00002994621,0.0000580105,0.0003127388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003771271,"about_ca_system_score_gemma":0.000003702473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001267413,"about_ca_topic_score_gemma":0.000006086255,"domain_scores_codex":[0.9993262,0.00003106847,0.0002257951,0.000120295,0.00009185073,0.000204776],"domain_scores_gemma":[0.999486,0.0001028836,0.00002522967,0.0002818932,0.00005145243,0.00005254697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002587948,0.00005408924,0.00009618495,0.0003723945,0.0001625529,2.874482e-7,0.001736259,0.3481095,0.6262805,0.001889707,0.01246148,0.0088111],"study_design_scores_gemma":[0.0005087605,0.0000314664,0.00001844009,0.00002135707,0.00001346196,0.000003383846,0.0000388619,0.9173893,0.0371152,0.000824071,0.04384839,0.0001872855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01117768,0.0000213128,0.978583,0.0001542641,0.0001580105,0.0003040816,0.000003714777,0.0004702534,0.009127666],"genre_scores_gemma":[0.9903247,0.0000058406,0.006279814,0.0001634307,0.0001767776,0.00007163399,0.00005443801,0.00003866854,0.002884653],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9791471,"threshold_uncertainty_score":0.4324924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02273007505196168,"score_gpt":0.2260737913561386,"score_spread":0.2033437163041769,"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."}}