{"id":"W2143898004","doi":"10.3386/w16628","title":"Trading and Liquidity with Limited Cognition","year":2010,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"National Science Foundation","keywords":"Market liquidity; Financial institution; Institution; Shock (circulatory); Business; Financial market; Monetary economics; Limit (mathematics); Aggregate (composite); Order (exchange); Economics; Financial economics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001869325,0.0006328588,0.0006283632,0.0004789839,0.0003905247,0.002752078,0.0008401129,0.001442053,0.001665712],"category_scores_gemma":[0.03021453,0.0003594672,0.0005900057,0.0003745588,0.002182402,0.004023237,0.001646369,0.001656259,0.0001785566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000624612,"about_ca_system_score_gemma":0.0004757999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001851572,"about_ca_topic_score_gemma":0.0007019075,"domain_scores_codex":[0.9989023,0.0004062069,0.0000659416,0.0001887152,0.0001743192,0.0002624003],"domain_scores_gemma":[0.9813431,0.01241448,0.003659472,0.001359751,0.0004162555,0.000807009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.004211979,0.001545894,0.07600201,0.0006082056,0.0007740169,0.003493798,0.003283122,0.5373893,0.05025377,0.2276029,0.002484203,0.09235072],"study_design_scores_gemma":[0.0002776415,0.0006804154,0.02443399,0.0000352441,0.000125243,0.0003619408,0.0003823714,0.5959551,0.003908925,0.3730027,0.0007431793,0.00009320877],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9672117,0.0004901288,0.02628444,0.001053355,0.00003209236,0.00001589275,0.00005677609,0.00009592417,0.004759744],"genre_scores_gemma":[0.997747,0.00009286941,0.001629196,0.00006131775,0.00002800365,0.00001157672,0.00001703374,0.000006526217,0.0004063912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002752078,"threshold_uncertainty_score":0.009886026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3183244750529687,"score_gpt":0.4085252305990039,"score_spread":0.09020075554603518,"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."}}