{"id":"W4292070380","doi":"10.1109/newcas52662.2022.9841959","title":"A Real-Time Acoustic Spectrum Analyzer on FPGA for the Internet of Underwater Things","year":2022,"lang":"en","type":"article","venue":"2022 20th IEEE Interregional NEWCAS Conference (NEWCAS)","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Mitacs","keywords":"Spectrum analyzer; Underwater; Field-programmable gate array; Computer science; Underwater acoustic communication; The Internet; Internet of Things; Spectrum (functional analysis); Embedded system; Telecommunications; Physics; World Wide Web; Geology","routes":{"ca_aff":true,"ca_fund":true,"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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004743726,0.0003523907,0.0004449052,0.0002278524,0.0002334549,0.0001108807,0.001330277,0.00008579613,0.001703913],"category_scores_gemma":[0.000007351479,0.0002816789,0.0003018453,0.0002745538,0.0001317166,0.0001724704,0.000289773,0.0005389286,0.0001038149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002558563,"about_ca_system_score_gemma":0.0000975342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005580137,"about_ca_topic_score_gemma":0.0001505635,"domain_scores_codex":[0.9977694,0.0001614986,0.0006646767,0.0003966416,0.0005512002,0.0004565493],"domain_scores_gemma":[0.9983099,0.0004819887,0.0002029986,0.0007911118,0.0001082888,0.0001057883],"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":[0.002961269,0.001406949,0.0006262106,0.0009073212,0.00499141,0.0001306243,0.03242442,0.2261665,0.3461651,0.03128852,0.3146605,0.03827117],"study_design_scores_gemma":[0.001642299,0.0009570529,0.000358953,0.000239856,0.0001953933,0.0002079722,0.003222295,0.8447892,0.02476042,0.004677285,0.118015,0.000934193],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4624034,0.0007572995,0.470855,0.02054519,0.004201199,0.004368771,0.0006313972,0.001461947,0.03477585],"genre_scores_gemma":[0.9922858,0.00009311143,0.0002451065,0.0003982723,0.0001480708,0.0003623712,0.00007261755,0.00007606168,0.006318549],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6186227,"threshold_uncertainty_score":0.9999635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04277841169446748,"score_gpt":0.2556733974765372,"score_spread":0.2128949857820698,"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."}}