{"id":"W2387523569","doi":"","title":"Wavelets Algorithm-based Identification of Linear Time-Invariant Second-Order Distributed Parameter System","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Algorithm; Haar; LTI system theory; Wavelet; Computation; Invariant (physics); Linear system; Haar wavelet; Distributed parameter system; Wavelet transform; Mathematical optimization; Discrete wavelet transform; Mathematics; Artificial intelligence; Mathematical analysis; Differential equation","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":[0.0005196892,0.0002075547,0.0003064225,0.0001806975,0.0003089765,0.00008497901,0.001000315,0.0001078543,0.00001734035],"category_scores_gemma":[0.000004821091,0.0002065886,0.0001325791,0.0009050515,0.00009888581,0.0002410112,0.0001558771,0.0001489707,0.0003014934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007176709,"about_ca_system_score_gemma":0.0001454579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001287526,"about_ca_topic_score_gemma":2.447305e-7,"domain_scores_codex":[0.9980126,0.0002137633,0.0006715593,0.0005673624,0.0002496097,0.0002850784],"domain_scores_gemma":[0.9979294,0.0003062024,0.000292178,0.000921085,0.0004499293,0.000101201],"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":[0.00004106409,0.001447951,0.0001261776,0.0004973578,0.0002672228,0.00009182515,0.00112596,0.003607321,0.5452039,0.01212911,0.01237444,0.4230877],"study_design_scores_gemma":[0.0008072483,0.00003947057,0.00129318,0.00003107334,0.00002323347,0.0001663019,0.000004523814,0.7387819,0.2300218,0.0003837041,0.02811235,0.0003352789],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001776054,0.00006194697,0.9968246,0.0001565659,0.00004195039,0.0006400098,0.00009606255,0.0002751431,0.0001276684],"genre_scores_gemma":[0.03372528,0.000001923448,0.9652983,0.0002127445,0.0001108837,0.00020048,0.0001537415,0.00001977854,0.0002768941],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7351745,"threshold_uncertainty_score":0.8424437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01377228062748675,"score_gpt":0.2461143829221142,"score_spread":0.2323421022946275,"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."}}