{"id":"W2054001858","doi":"10.1175/jtech-d-11-00069.1","title":"Simultaneous Velocity Ambiguity Resolution and Noise Suppression for Multifrequency Coherent Doppler Sonar","year":2011,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Memorial University of Newfoundland","funders":"","keywords":"Sonar; Doppler effect; Ambiguity function; Estimator; Acoustic Doppler velocimetry; Acoustics; Noise (video); Decorrelation; Turbulence; Physics; Remote sensing; Geology; Computer science; Algorithm; Laser Doppler velocimetry; Mathematics; Radar; Statistics; Meteorology; Telecommunications; Artificial intelligence","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":[0.0008063817,0.0004037869,0.0004017362,0.0004470386,0.000202686,0.0004823444,0.000331778,0.0004593241,0.0003445674],"category_scores_gemma":[0.002204095,0.000260448,0.0002432127,0.0003903714,0.0002971808,0.0008975382,0.0007250303,0.0003413889,0.0001537297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001949527,"about_ca_system_score_gemma":0.0003372731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005680827,"about_ca_topic_score_gemma":0.000707096,"domain_scores_codex":[0.9995291,0.000119308,0.00001679373,0.00006451469,0.0002342802,0.00003607244],"domain_scores_gemma":[0.9991791,0.0004576479,0.0001115798,0.00005769209,0.0001683244,0.00002571184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000579201,0.0001568374,0.004152167,0.0002019729,0.00007618951,0.000157402,0.0001654873,0.2637854,0.3422418,0.00688309,0.0005309178,0.3810695],"study_design_scores_gemma":[0.00003203021,0.0001740813,0.00220287,0.000009649052,0.00001922335,0.0000977763,0.00002371261,0.9418261,0.05256906,0.002088163,0.0009314301,0.00002578411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2054598,0.0007150579,0.7923784,0.0001334811,0.00005057611,0.00002499421,0.00003395001,0.0002195966,0.0009840804],"genre_scores_gemma":[0.8077002,0.000148178,0.1915558,0.00002252703,0.00003167533,0.00002372506,0.00004922115,0.00002456102,0.0004440317],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0008063817,"threshold_uncertainty_score":0.004264593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02205832003711729,"score_gpt":0.2393791610915861,"score_spread":0.2173208410544688,"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."}}