{"id":"W1572681426","doi":"10.1023/a:1026146100090","title":"Traders' Long-Run Wealth in an Artificial Financial Market","year":2003,"lang":"en","type":"article","venue":"Computational Economics","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":69,"is_retracted":false,"has_abstract":false,"ca_institutions":"Intertek (Canada)","funders":"","keywords":"Contrarian; Economics; Volatility (finance); Trend following; Trading strategy; Financial economics; Population; Distribution (mathematics); Financial market; Stock market; Context (archaeology); Finance","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005803193,0.000169703,0.0004616493,0.000328671,0.0001245952,0.0001230215,0.0001792727,0.00009700872,0.002264078],"category_scores_gemma":[0.00006576907,0.0002355048,0.0001392346,0.0002384621,0.00005030376,0.0003252042,0.00002120591,0.000130207,0.0003984157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002018286,"about_ca_system_score_gemma":0.000118007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001512663,"about_ca_topic_score_gemma":0.001089259,"domain_scores_codex":[0.9982141,0.00003880377,0.0009343605,0.000484,0.00002451671,0.0003042174],"domain_scores_gemma":[0.9992415,0.0000726319,0.0003077732,0.0002304775,0.00002810981,0.0001194915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001972144,0.0001421131,0.04408014,0.00001420193,0.00002361676,0.000005435747,0.0002323629,0.07646106,3.009899e-7,0.8774974,0.0005290813,0.0009945661],"study_design_scores_gemma":[0.0007754102,0.00009958082,0.1744381,0.000009034348,0.000006179524,0.00001752139,0.0001775605,0.2547919,0.00000410779,0.5313977,0.03774353,0.0005393869],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9597172,0.0003052886,0.01619738,0.0004238202,0.000614771,0.0002416614,0.0001701039,0.00003344406,0.02229629],"genre_scores_gemma":[0.9967923,0.0000239441,0.002235834,0.0003075418,0.0001525755,0.00001632351,0.00007229968,0.00002393578,0.0003752091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3460997,"threshold_uncertainty_score":0.998648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03641578466481869,"score_gpt":0.2268789311927527,"score_spread":0.190463146527934,"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."}}