{"id":"W7099845007","doi":"","title":"Endogenously Segmented Asset Market in an Inventory Theoretic Model of Money Demand”, mimeo, The","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Computational Techniques in Science and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Asset (computer security); Open market operation; Empirical research; Central bank; Empirical evidence","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":[0.0005646122,0.00009128301,0.00009695994,0.0001023441,0.00004561726,0.00002963372,0.0009642979,0.00003001986,0.00001122215],"category_scores_gemma":[0.00001837319,0.00006533779,0.00003158995,0.0003200172,0.00006822016,0.0006439532,0.0001582237,0.00009588185,0.000002240569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004768345,"about_ca_system_score_gemma":0.00004216735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005277246,"about_ca_topic_score_gemma":0.00001064236,"domain_scores_codex":[0.9990725,0.00004569988,0.0002229428,0.0002110934,0.0002513736,0.0001963888],"domain_scores_gemma":[0.9993941,0.00007026519,0.00004885366,0.0003930749,0.00004666202,0.00004702931],"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":[0.000003021004,0.00004861575,0.0001745754,0.000004809625,0.000002448907,0.00000137629,0.0006903917,0.820476,0.003160378,0.1682918,0.0001556857,0.006990899],"study_design_scores_gemma":[0.00007951997,0.00002947435,0.0001195821,0.00000902673,9.438226e-7,0.000004884946,0.00002274614,0.9417295,0.005242638,0.05263193,0.00005097793,0.00007880243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03691011,0.00005610079,0.9581519,0.0002565336,0.00002836796,0.0001196179,7.746195e-7,0.0001140325,0.004362513],"genre_scores_gemma":[0.7280321,0.00001629003,0.2715653,0.000273941,0.00001140883,0.00001499723,5.953618e-7,0.00000396056,0.00008131277],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.691122,"threshold_uncertainty_score":0.2664398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02245536980718317,"score_gpt":0.2678709033893075,"score_spread":0.2454155335821244,"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."}}