{"id":"W2111939941","doi":"10.1142/s0218127407018762","title":"ANALYSIS ON TOPOLOGICAL PROPERTIES OF THE LORENZ AND THE CHEN ATTRACTORS USING GCM","year":2007,"lang":"en","type":"article","venue":"International Journal of Bifurcation and Chaos","topic":"Chaos control and synchronization","field":"Physics and Astronomy","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sudbury Regional Hospital; Western University","funders":"","keywords":"Attractor; Lorenz system; Chen; Mathematics; Series (stratigraphy); Statistical physics; Topology (electrical circuits); Applied mathematics; Pure mathematics; Mathematical analysis; Physics; Combinatorics","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":[],"consensus_categories":[],"category_scores_codex":[0.0003260615,0.00005101835,0.000113485,0.00008383031,0.00005490341,0.00003066782,0.0001164804,0.00001824774,0.0000385516],"category_scores_gemma":[0.00002467565,0.00002412554,0.00009264961,0.00009406125,0.0001187015,0.00006656564,0.00002419863,0.00008123805,2.140345e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001664769,"about_ca_system_score_gemma":0.00002086606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006226988,"about_ca_topic_score_gemma":0.000007582574,"domain_scores_codex":[0.9994028,0.00003610553,0.0002539164,0.00005129254,0.0002086687,0.00004718519],"domain_scores_gemma":[0.999353,0.00005687572,0.0003043649,0.00005125758,0.0002135319,0.00002094942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001213705,0.0003817528,0.7854228,0.00001165261,0.002813867,0.00000177316,0.006290507,0.003179587,0.01544744,0.1049802,0.00003162774,0.08022512],"study_design_scores_gemma":[0.007405692,0.0001610745,0.8973743,0.0001977727,0.0010401,0.00003809546,0.005114773,0.04229215,0.03535745,0.009006179,0.001714137,0.000298274],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906682,0.0001580284,0.007088042,0.001606196,0.0001552703,0.0000524606,0.000002606195,0.000001103497,0.0002681281],"genre_scores_gemma":[0.9995481,0.00001282384,0.00002542359,0.00009014117,0.0002722572,4.969138e-7,0.000001043541,0.000002110644,0.00004755743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1119515,"threshold_uncertainty_score":0.09838109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01757648816142702,"score_gpt":0.2608607620519243,"score_spread":0.2432842738904973,"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."}}