{"id":"W4316464189","doi":"10.18280/ts.390633","title":"Noise Signal Recognition and Noise Reduction Algorithm of Ships","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Noise reduction; Noise (video); SIGNAL (programming language); Signal processing; Signal transfer function; Electronic engineering; Computer science; Algorithm; Engineering; Analog signal; Artificial intelligence; Digital signal processing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006141493,0.0008138593,0.000703001,0.001391273,0.0006047151,0.0009033518,0.001010704,0.0008093366,0.00167216],"category_scores_gemma":[0.001889197,0.0003772862,0.0009719775,0.0008865163,0.0005809501,0.001234191,0.0007139382,0.0007525693,0.0007403797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005541288,"about_ca_system_score_gemma":0.0007612602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003143807,"about_ca_topic_score_gemma":0.002007387,"domain_scores_codex":[0.9994084,0.00005473558,0.00003739612,0.0002071073,0.0002288131,0.00006355206],"domain_scores_gemma":[0.999575,0.00008965045,0.00003687118,0.0000413267,0.0002315022,0.00002574436],"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":[0.0003469447,0.0001030412,0.003975617,0.0001466982,0.00007459513,0.0001997442,0.0002728139,0.1409557,0.06719004,0.01145576,0.002323888,0.7729552],"study_design_scores_gemma":[0.00001323878,0.00006211147,0.001694904,0.000007768693,0.00002488033,0.0001161329,0.00003556704,0.9764178,0.01747142,0.002253045,0.001883408,0.00001964442],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02341705,0.0001436492,0.9745799,0.00008463396,0.00004697673,0.00002946923,0.00002955386,0.0004849829,0.001183824],"genre_scores_gemma":[0.3856443,0.0004675967,0.6024963,0.0001775248,0.0001348967,0.0002013406,0.0005195611,0.0002383821,0.01012024],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003143807,"threshold_uncertainty_score":0.006251037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02149004646958079,"score_gpt":0.2099913874338735,"score_spread":0.1885013409642928,"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."}}