{"id":"W2482994569","doi":"","title":"A new approximating model for the time invariant nonlinear operators with fading memory","year":2009,"lang":"en","type":"article","venue":"Computational intelligence","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Bank Note Company (Canada)","funders":"","keywords":"Mathematics; Nonlinear system; Invariant (physics); Operator theory; Operator (biology); Polynomial; Set (abstract data type); Algebra over a field; Representation (politics); Applied mathematics; Discrete mathematics; Pure mathematics; Computer science; Mathematical analysis","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":[0.0004713956,0.0004200888,0.0004166827,0.0004540925,0.0003650612,0.0008863017,0.001166167,0.0007917786,0.002341931],"category_scores_gemma":[0.001077977,0.0001665529,0.0005403648,0.0003711755,0.001041322,0.001723315,0.0009589813,0.001136201,0.0002609655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005270793,"about_ca_system_score_gemma":0.000487686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009059639,"about_ca_topic_score_gemma":0.000594069,"domain_scores_codex":[0.9998186,0.0000439245,0.000009218803,0.00003380954,0.00006421144,0.00003028951],"domain_scores_gemma":[0.9997725,0.00007348022,0.00004278986,0.00003342322,0.00004165656,0.00003610015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001928029,0.00002536218,0.0001988724,0.00003790276,0.00001083886,0.0001188569,0.0001284074,0.03580857,0.005588467,0.9512412,0.0004735772,0.006348644],"study_design_scores_gemma":[0.00001073748,0.00004388294,0.0001258874,0.0000119287,0.000009668068,0.0001435929,0.00005181762,0.7766798,0.001238275,0.2189399,0.002729308,0.00001531628],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04684394,0.0002487776,0.9431987,0.0004268174,0.0001001769,0.00003353758,0.00007054973,0.00009029749,0.008987258],"genre_scores_gemma":[0.8395788,0.000614798,0.1427713,0.000268257,0.0002277854,0.0001204581,0.0001251551,0.00006597336,0.01622739],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002341931,"threshold_uncertainty_score":0.007834494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03532033562343716,"score_gpt":0.281732446227049,"score_spread":0.2464121106036118,"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."}}