{"id":"W2650923610","doi":"","title":"New Trends in Modeling and Simulation in Economic Sciences","year":2013,"lang":"en","type":"article","venue":"International Journal of Economics and Statistics","topic":"Modeling, Simulation, and Optimization","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Maple; Graphics; Loan; Computational finance; Visualization; Computer graphics; Symbolic computation; Computational science; Data science; Software engineering; Theoretical computer science; Computer graphics (images); Finance; Data mining; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002799453,0.00006686285,0.0001413563,0.0003883741,0.00002183179,0.000122603,0.0000839527,0.00003557626,0.00007499893],"category_scores_gemma":[0.00006901196,0.00006684358,0.00001465075,0.0000265451,0.00001939179,0.0003909642,0.00002005125,0.00006318615,8.357008e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008325092,"about_ca_system_score_gemma":0.00006355107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002408117,"about_ca_topic_score_gemma":0.0005032606,"domain_scores_codex":[0.9992332,0.00001443245,0.0005352194,0.00009323106,0.00005022628,0.00007369542],"domain_scores_gemma":[0.9994057,0.0002068575,0.0002315646,0.00003034455,0.00008088889,0.00004465488],"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":[0.00001097066,0.00000975109,0.003536484,0.000001903679,0.000008531757,8.377997e-7,0.0003124173,0.9077982,6.824557e-7,0.06884345,0.00004621844,0.01943049],"study_design_scores_gemma":[0.0004624451,0.00002059398,0.0009735303,0.0000143936,0.000003245594,0.000004928003,0.00005225489,0.724889,7.282504e-7,0.2735056,0.00002547346,0.00004788121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6820168,0.0000463729,0.3173374,0.0001908065,0.0001601735,0.0000335909,0.00001003095,0.000001332135,0.0002034285],"genre_scores_gemma":[0.8654357,0.0004251776,0.1339775,0.00002533266,0.00008844598,4.333625e-7,0.000003898587,0.000005655129,0.00003783184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2046621,"threshold_uncertainty_score":0.2725802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05945382371751727,"score_gpt":0.341607795423791,"score_spread":0.2821539717062737,"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."}}