{"id":"W2015690955","doi":"10.1016/j.chaos.2007.01.031","title":"Effect of noise on fractal structure","year":2007,"lang":"en","type":"article","venue":"Chaos Solitons & Fractals","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Hurst exponent; Lyapunov exponent; Statistical physics; Fractal; Brownian noise; Noise (video); Rescaled range; Fractal dimension; Series (stratigraphy); Detrended fluctuation analysis; Fractional Brownian motion; Mathematics; Exponent; Physics; Brownian motion; Scaling; Mathematical analysis; Computer science; White noise; Nonlinear system; Statistics; Quantum mechanics; Image (mathematics); Geometry; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008322554,0.0002439486,0.0008082862,0.0003668228,0.0001092314,0.00003906411,0.0002527366,0.0001690341,0.002152737],"category_scores_gemma":[0.0001814384,0.0002335479,0.0003493434,0.0003739942,0.00007340487,0.0001431977,0.0000605627,0.0002084324,0.0003963208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007793328,"about_ca_system_score_gemma":0.00001002657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005472823,"about_ca_topic_score_gemma":0.00005537009,"domain_scores_codex":[0.9982535,0.0000250399,0.0008198667,0.0004104446,0.00008115255,0.0004100056],"domain_scores_gemma":[0.9983789,0.0003030038,0.0005570834,0.0005855018,0.00003836772,0.0001371073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001936539,0.001090627,0.4282561,0.00139027,0.002675469,0.0001874348,0.00423053,0.0009666819,0.02565895,0.4492507,0.009171958,0.07518471],"study_design_scores_gemma":[0.006340652,0.006017243,0.3012138,0.000385487,0.0002833402,0.00008883455,0.0007260512,0.004550375,0.179533,0.03013481,0.4673091,0.00341729],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9672034,0.0009202624,0.0005473741,0.0001025706,0.0004771142,0.000249218,0.0003103782,0.00003667528,0.03015301],"genre_scores_gemma":[0.9985673,0.00001557611,0.0000716625,0.00008126713,0.0003536141,0.000005990454,0.00003331284,0.00003297043,0.0008383136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4581371,"threshold_uncertainty_score":0.9987594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01125597560864862,"score_gpt":0.2392920618702194,"score_spread":0.2280360862615708,"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."}}