{"id":"W2000386955","doi":"10.1016/j.asoc.2014.09.036","title":"Evolutionary collective behavior decomposition model for time series data mining","year":2014,"lang":"en","type":"article","venue":"Applied Soft Computing","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Computer science; Simple (philosophy); Collective behavior; Decomposition; Game theory; Series (stratigraphy); Artificial intelligence; Mathematical economics; Mathematics; Ecology","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":[0.001664946,0.0005693823,0.001250916,0.0009984201,0.0005048491,0.0007821267,0.001236663,0.001067842,0.002115264],"category_scores_gemma":[0.004865187,0.0003805662,0.001307288,0.001032923,0.0006596124,0.001104591,0.001050864,0.001357793,0.0003866057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007958251,"about_ca_system_score_gemma":0.0008079858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004875841,"about_ca_topic_score_gemma":0.002896251,"domain_scores_codex":[0.9994134,0.000254843,0.00002846511,0.0001437532,0.00008598701,0.00007359168],"domain_scores_gemma":[0.998285,0.001032459,0.0002196349,0.0001136404,0.0002362513,0.000112942],"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":[0.00007387628,0.00008695809,0.003806806,0.00007598172,0.0002100445,0.0001045884,0.0001449881,0.8839862,0.001582862,0.07356304,0.001856536,0.03450818],"study_design_scores_gemma":[0.000002080669,0.000004893187,0.0001518634,0.000002342382,0.000006563575,0.000007679768,0.000003954951,0.9930776,0.00003603431,0.006572956,0.000131886,0.000002201401],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04305903,0.0003106392,0.9546045,0.000344982,0.00005163759,0.00002553322,0.0001084352,0.0001101854,0.001384978],"genre_scores_gemma":[0.8380504,0.0006571878,0.1486674,0.0002046677,0.000104642,0.0002701552,0.0006209523,0.00009378452,0.01133077],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004875841,"threshold_uncertainty_score":0.009694934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03883110758486075,"score_gpt":0.2457600115320326,"score_spread":0.2069289039471719,"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."}}