{"id":"W2348774742","doi":"","title":"Design of a Real-time Synthetic Aperture Sonar Signal processing System Based on PowerPC","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"PowerPC; Computer science; Synthetic aperture sonar; Digital signal processing; Signal processing; Realization (probability); Digital signal processor; Sonar; Computer hardware; Sonar signal processing; SIGNAL (programming language); Embedded system; Real-time computing; Software; Artificial intelligence; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001017307,0.0001677505,0.0002227226,0.0001193952,0.0001639582,0.00002637027,0.0003745736,0.0000846607,0.00001293702],"category_scores_gemma":[2.62522e-8,0.0001610305,0.0000618827,0.0002592038,0.00004416443,0.00004868437,0.0000282928,0.0001060785,0.0001512995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008094325,"about_ca_system_score_gemma":0.00004023869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000837163,"about_ca_topic_score_gemma":1.711178e-7,"domain_scores_codex":[0.9990806,0.00005657878,0.0003385911,0.0002022691,0.000143768,0.0001781675],"domain_scores_gemma":[0.9993058,0.0001231079,0.00007450787,0.0003579379,0.00007691235,0.00006166433],"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":[0.00002279874,0.0002969888,0.00007064753,0.0007035026,0.00006949611,0.000005216552,0.001392224,0.1459709,0.7447251,0.0001246426,0.001266986,0.1053515],"study_design_scores_gemma":[0.0003289623,0.00004414635,0.0001090865,0.0002590351,0.00001724535,0.00007537568,0.00004587981,0.8769031,0.02243496,0.00001040332,0.09949079,0.0002810034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00162969,0.0001332974,0.9955895,0.00006292196,0.000001784257,0.0006442416,0.00001228413,0.0004660631,0.001460234],"genre_scores_gemma":[0.772065,0.0000171979,0.227389,0.00004475246,0.00003942514,0.0003394771,0.00002018799,0.0000395694,0.00004538812],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7704353,"threshold_uncertainty_score":0.6566634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0132453978911296,"score_gpt":0.1962358194889323,"score_spread":0.1829904215978027,"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."}}