{"id":"W2088301093","doi":"10.1007/s11071-014-1647-z","title":"Coarse quantization in calculations of entropy measures for experimental time series","year":2014,"lang":"en","type":"article","venue":"Nonlinear Dynamics","topic":"Chaos control and synchronization","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sample entropy; Entropy (arrow of time); Mathematics; Statistical physics; Maximum entropy probability distribution; Logistic map; Joint entropy; Dynamical systems theory; Applied mathematics; Algorithm; Computer science; Time series; Artificial intelligence; Principle of maximum entropy; Statistics; Chaotic; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002849988,0.0006415325,0.0008973146,0.001669319,0.0009976594,0.001912904,0.001497181,0.001108238,0.003651855],"category_scores_gemma":[0.01145513,0.000621982,0.000654178,0.0009604626,0.00292816,0.005334054,0.001871139,0.002115751,0.0004116966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001344176,"about_ca_system_score_gemma":0.0006147259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009778207,"about_ca_topic_score_gemma":0.001453315,"domain_scores_codex":[0.9994485,0.0002212861,0.00004422346,0.00005291169,0.0001887966,0.00004425489],"domain_scores_gemma":[0.9963743,0.002422326,0.0002131381,0.0005981176,0.0002180663,0.0001741209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002305522,0.00002065136,0.000298149,0.00007922411,0.00001785861,0.00008294084,0.0001055956,0.1031348,0.001571547,0.8887688,0.000528903,0.005368404],"study_design_scores_gemma":[0.000005903762,0.000008489425,0.0002951658,0.00001924322,0.000004412639,0.00002645955,0.00002261801,0.6165359,0.0009377154,0.3816963,0.0004301331,0.00001760072],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1040298,0.001384611,0.8741162,0.0008281305,0.0003669648,0.00007278925,0.0000828601,0.0003776212,0.0187411],"genre_scores_gemma":[0.8956748,0.0008720421,0.09722471,0.0002478068,0.0002309895,0.0001771026,0.00008771168,0.0004377754,0.005047199],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003651855,"threshold_uncertainty_score":0.01507235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00623521892179608,"score_gpt":0.24292264347929,"score_spread":0.236687424557494,"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."}}