{"id":"W3108264410","doi":"10.1121/2.0001323","title":"An Accurate Correlation-Type Doppler Estimator in Dynamic Underwater Acoustic Channels using Comb-Type Shift-Orthogonal Pilot Signals","year":2020,"lang":"en","type":"article","venue":"Proceedings of meetings on acoustics","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Estimator; Doppler effect; Pilot signal; Cramér–Rao bound; Mach number; Minimum-variance unbiased estimator; Computer science; Acoustics; Orthogonal frequency-division multiplexing; Algorithm; Mathematics; Telecommunications; Statistics; Physics; Channel (broadcasting)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003770535,0.0003558268,0.0004704092,0.0001940135,0.0001125394,0.0001615784,0.0005220159,0.0001695381,0.00003872639],"category_scores_gemma":[0.00007785464,0.0003621507,0.00004577699,0.0006812661,0.00006894525,0.0003832632,0.0000933819,0.0004447652,0.00003121845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001205124,"about_ca_system_score_gemma":0.00004854022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001882865,"about_ca_topic_score_gemma":0.000003233918,"domain_scores_codex":[0.997981,0.00001892036,0.0007899595,0.0003566899,0.0004207863,0.0004326678],"domain_scores_gemma":[0.9988022,0.0001219053,0.0002634835,0.0001553224,0.0004379633,0.000219088],"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":[0.000105954,0.00007851743,0.001777482,0.0003209708,0.00003115889,0.000001784908,0.0009879807,0.5104849,0.4859776,0.00006025546,0.00009127175,0.00008203],"study_design_scores_gemma":[0.0005870875,0.0004925318,0.0009449892,0.0003143781,0.0000576975,0.000009405606,0.0007116225,0.9869007,0.009200455,0.0003123879,0.00006306521,0.0004057197],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9677979,0.00009223398,0.03064543,0.0002035752,0.000194847,0.0004066567,0.00001503649,0.0003203655,0.0003239969],"genre_scores_gemma":[0.9941462,0.0000542883,0.005330564,0.00020809,0.0001019584,0.0000104107,0.0000250929,0.0001107642,0.00001265114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4767772,"threshold_uncertainty_score":0.9998831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04248224720886624,"score_gpt":0.2724070562016569,"score_spread":0.2299248089927907,"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."}}