{"id":"W2072306603","doi":"10.1142/s0218127404011612","title":"A NEW STATISTICAL METHOD FOR FILTERING AND ENTROPY ESTIMATION OF A CHAOTIC MAP FROM NOISY DATA","year":2004,"lang":"en","type":"article","venue":"International Journal of Bifurcation and Chaos","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Piecewise; Chaotic; Mathematics; Nonlinear system; Noise (video); Entropy (arrow of time); Random noise; Piecewise linear function; Interval (graph theory); Unit interval; Algorithm; Applied mathematics; Statistical physics; Computer science; Mathematical analysis; Artificial intelligence; Combinatorics; Physics; Image (mathematics)","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":[0.002049085,0.0008041292,0.001217538,0.002259574,0.0004115331,0.0008552265,0.001160591,0.0009243517,0.000789005],"category_scores_gemma":[0.007714751,0.0005766334,0.000904804,0.001366605,0.000844403,0.001623774,0.0009782349,0.001054491,0.0004219755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005634403,"about_ca_system_score_gemma":0.0007337047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001279978,"about_ca_topic_score_gemma":0.00120034,"domain_scores_codex":[0.9988336,0.0002871226,0.00009099096,0.0002452248,0.0005007032,0.00004245977],"domain_scores_gemma":[0.9966359,0.001900812,0.0004270289,0.0003468073,0.0005903027,0.00009922485],"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":[0.0003465188,0.0001442365,0.003971439,0.0004716077,0.0004939181,0.0004890634,0.0002202234,0.3338525,0.06629366,0.08836605,0.00299812,0.5023527],"study_design_scores_gemma":[0.00001064955,0.00004244651,0.0007107437,0.000009339934,0.00002243358,0.0001183454,0.000005881832,0.9827608,0.004457831,0.00996596,0.001859634,0.00003586042],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001781141,0.00009224308,0.9978386,0.00002928351,0.00003138943,0.000008272887,0.00003412275,0.0001027794,0.00008219579],"genre_scores_gemma":[0.1015591,0.0005424303,0.8948741,0.0001041437,0.0004504133,0.0002036839,0.0004401803,0.0001439288,0.00168199],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002259574,"threshold_uncertainty_score":0.01083672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04605542013529449,"score_gpt":0.3021038776776618,"score_spread":0.2560484575423673,"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."}}