{"id":"W3123939446","doi":"","title":"An Equilibrium Analysis of Information Aggregation and Fluctuations in Markets with Discrete Decisions","year":2005,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of British Columbia","funders":"","keywords":"Private information retrieval; Aggregate (composite); Investment (military); Outcome (game theory); Microeconomics; Economics; Rational expectations; Investment decisions; Econometrics; Complete information; Computer science; Behavioral 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":[0.003058055,0.0006089464,0.001365841,0.001162946,0.0008532291,0.002755126,0.001410565,0.001590643,0.003447693],"category_scores_gemma":[0.01649251,0.000644226,0.0008994846,0.001166452,0.002305841,0.004171534,0.001458308,0.001439166,0.000324187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001885028,"about_ca_system_score_gemma":0.001012975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002786711,"about_ca_topic_score_gemma":0.001390343,"domain_scores_codex":[0.9982368,0.0007242168,0.00007153887,0.0002571003,0.0004095073,0.0003008426],"domain_scores_gemma":[0.9905261,0.006770352,0.001285383,0.000429786,0.0006081697,0.0003802562],"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":[0.00009941417,0.00006816541,0.001001245,0.00007756869,0.00006991619,0.0002658714,0.0002152189,0.2137719,0.00189776,0.774955,0.00151602,0.006061803],"study_design_scores_gemma":[0.0000229413,0.00002963411,0.0003851727,0.00001067629,0.0000117671,0.00003678102,0.00003718935,0.7559575,0.0002380376,0.2427607,0.0004896102,0.00002002358],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2937306,0.001024966,0.6741273,0.003497323,0.0001362731,0.0001275265,0.0003848459,0.0003124269,0.02665873],"genre_scores_gemma":[0.9796566,0.0004127073,0.01581981,0.0001352716,0.0001145495,0.0001052585,0.0001015206,0.00004485476,0.003609314],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003447693,"threshold_uncertainty_score":0.01617277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0207148994072339,"score_gpt":0.2763090686249338,"score_spread":0.2555941692176999,"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."}}