{"id":"W3197826749","doi":"10.18280/mmep.080404","title":"Analyzing and Detecting Drifts in a Flowmeter by Discrete Fourier Transform","year":2021,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Flow Measurement and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Public Authority for Applied Education and Training; Kuwait University","keywords":"Flow measurement; Flow (mathematics); Computer science; Petrochemical; Scheme (mathematics); Fourier transform; Discrete Fourier transform (general); Real-time computing; Engineering; Reliability engineering; Fourier analysis; Short-time Fourier transform; Mathematics; Waste management","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":[0.001019384,0.0004410456,0.0003970289,0.001374485,0.0002619972,0.000523238,0.0004682806,0.0005551645,0.0006065273],"category_scores_gemma":[0.003589439,0.0002451639,0.000285251,0.0009255881,0.0005846268,0.000937044,0.0003200874,0.0005703113,0.0002348217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000403794,"about_ca_system_score_gemma":0.000605834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001594673,"about_ca_topic_score_gemma":0.001079917,"domain_scores_codex":[0.9995748,0.00006585686,0.00002835447,0.00008063213,0.0002147923,0.00003551485],"domain_scores_gemma":[0.999002,0.0005750468,0.0001288838,0.0001008807,0.0001732075,0.000020084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004785035,0.000293325,0.0112011,0.00022795,0.00006174976,0.0002978681,0.0003667217,0.1408228,0.3820953,0.01441553,0.001312799,0.4484263],"study_design_scores_gemma":[0.00001320362,0.0000955215,0.003820645,0.00001044024,0.00001136665,0.0001696394,0.00003521538,0.940632,0.05129072,0.002632714,0.001259303,0.00002930417],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07312515,0.00008715905,0.9256027,0.0000847463,0.00003609933,0.00003233899,0.00004598946,0.0005260229,0.0004597698],"genre_scores_gemma":[0.5137005,0.0002537758,0.4846707,0.00005301263,0.0000368971,0.00006093924,0.0001470119,0.00007666095,0.00100052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001594673,"threshold_uncertainty_score":0.005391121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01329876419211728,"score_gpt":0.1847900480173649,"score_spread":0.1714912838252476,"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."}}