{"id":"W2393328036","doi":"","title":"Market-making system:Experiment and exploration of the interbank FX marke","year":2004,"lang":"en","type":"article","venue":"China Money","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Market liquidity; Business; Interbank lending market; Order (exchange); Monetary economics; Financial system; Finance; Economics","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":[0.002928138,0.0003650192,0.0005610767,0.0003125246,0.0005574049,0.001205951,0.0006368285,0.0009209338,0.005047016],"category_scores_gemma":[0.01196522,0.0001940327,0.0003635719,0.0002635125,0.001150567,0.002464526,0.0008305719,0.001207752,0.0004736707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003774473,"about_ca_system_score_gemma":0.0005213465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001291145,"about_ca_topic_score_gemma":0.0006157256,"domain_scores_codex":[0.9990926,0.0004420339,0.00005179784,0.0001536563,0.0001680673,0.00009185111],"domain_scores_gemma":[0.9945008,0.003698443,0.0004153802,0.0006761368,0.0003715793,0.000337657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.03198401,0.0351593,0.07144645,0.001817412,0.0007956045,0.002675547,0.01028959,0.1230776,0.1820446,0.3900531,0.01298075,0.1376761],"study_design_scores_gemma":[0.005804918,0.02634587,0.05891182,0.00009838647,0.000486453,0.0004705014,0.004712107,0.6585694,0.06591587,0.158205,0.02013627,0.0003434926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900213,0.00007206053,0.004121231,0.0001831073,0.00006362401,0.0001226525,0.0001346025,0.00006071955,0.005220757],"genre_scores_gemma":[0.9954595,0.00005158226,0.00262317,0.00005461902,0.00001759615,0.0000996219,0.0001279903,0.00001312097,0.001552718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005047016,"threshold_uncertainty_score":0.01688397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02446460742552995,"score_gpt":0.2106171063472102,"score_spread":0.1861524989216803,"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."}}