{"id":"W1522810369","doi":"10.5281/zenodo.39406","title":"Data-Dependent Partial Update Adaptive Algorithms For Linear And Nonlinear Systems","year":2005,"lang":"en","type":"article","venue":"INFM-OAR (INFN Catania)","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Algorithm; Adaptive filter; Nonlinear system; Computer science; Reduction (mathematics); Set (abstract data type); Emphasis (telecommunications); Class (philosophy); Mathematics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001152085,0.0009895161,0.0009426376,0.0004949053,0.0003696982,0.001262035,0.0009538534,0.0009355708,0.005327003],"category_scores_gemma":[0.007102627,0.0005752484,0.0004966735,0.0008764317,0.000884605,0.001651779,0.0013218,0.00199026,0.001086086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003528654,"about_ca_system_score_gemma":0.0007215387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002675982,"about_ca_topic_score_gemma":0.003162067,"domain_scores_codex":[0.9995127,0.0001369248,0.00003871786,0.00006513168,0.0002105627,0.00003596708],"domain_scores_gemma":[0.9980339,0.001145976,0.00007588166,0.0002340514,0.0004682732,0.00004180855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00054537,0.00009416488,0.0007824812,0.0003766028,0.0001474663,0.00009937781,0.000212626,0.2662439,0.0079935,0.07611571,0.01037209,0.6370167],"study_design_scores_gemma":[0.00002261249,0.00004652867,0.0001443558,0.00001278461,0.00001417174,0.00003219881,0.000009275582,0.9847106,0.001565941,0.01027592,0.003156919,0.000008641705],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002864946,0.0007994925,0.9949851,0.0001530024,0.0001899896,0.00001797128,0.00002588076,0.0001784171,0.0007852066],"genre_scores_gemma":[0.3000123,0.003241392,0.6674677,0.0003041194,0.0006340733,0.0003329219,0.0005946431,0.0003283799,0.0270846],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005327003,"threshold_uncertainty_score":0.01782066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05872317059656697,"score_gpt":0.3004949936706801,"score_spread":0.2417718230741131,"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."}}