{"id":"W2060110677","doi":"10.1063/1.3514011","title":"Regularity analysis of an individual-based ecosystem simulation","year":2010,"lang":"en","type":"article","venue":"Chaos An Interdisciplinary Journal of Nonlinear Science","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lyapunov exponent; Correlation dimension; Dimension (graph theory); Fractal dimension; Chaotic; Computer science; Stochastic simulation; Ecosystem; Fractal; Statistical physics; Mathematics; Statistics; Artificial intelligence; Ecology; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.003513062,0.0001585461,0.0007933236,0.002071178,0.0003414105,0.0001862075,0.001088016,0.00008630555,0.0005995884],"category_scores_gemma":[0.0001218751,0.0001483491,0.0004354967,0.002394128,0.0002764272,0.001257844,0.0002413878,0.0002812939,0.00001109514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006248755,"about_ca_system_score_gemma":0.0001180962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005284071,"about_ca_topic_score_gemma":0.0005546397,"domain_scores_codex":[0.9976127,0.00003621944,0.001460423,0.0003910554,0.0002482611,0.0002513848],"domain_scores_gemma":[0.9966422,0.00006578444,0.001824869,0.0006959871,0.0005101389,0.0002609746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006217224,0.004254264,0.2052641,0.0002610849,0.003228294,0.0001123815,0.01390203,0.7072338,0.0156856,0.03262382,0.00007752884,0.01673535],"study_design_scores_gemma":[0.0002743845,0.0004809461,0.07501086,0.00002312378,0.000160867,0.00001441008,0.0004745577,0.9214986,0.0003520971,0.001139489,0.0003950943,0.0001755594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887871,0.0000578356,0.009805081,0.000130682,0.0004984325,0.00007951344,0.000231422,0.000009302682,0.000400616],"genre_scores_gemma":[0.9913647,0.000001301496,0.008331182,0.00001701266,0.0002202308,0.00000105588,0.00002020232,0.00001194242,0.00003242718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2142648,"threshold_uncertainty_score":0.6565073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03694068320110504,"score_gpt":0.3177624476234135,"score_spread":0.2808217644223084,"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."}}