{"id":"W2116612050","doi":"10.1016/j.jet.2015.07.011","title":"Price distortions under coarse reasoning with frequent trade","year":2015,"lang":"en","type":"article","venue":"Journal of Economic Theory","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"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":[0.007455353,0.0005170967,0.002090883,0.00134182,0.0009938722,0.005043897,0.001914536,0.003215558,0.009206142],"category_scores_gemma":[0.08867808,0.001162795,0.0009894661,0.001463614,0.004891977,0.0108441,0.002613122,0.004585233,0.000525401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001337404,"about_ca_system_score_gemma":0.001119141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002107542,"about_ca_topic_score_gemma":0.00121291,"domain_scores_codex":[0.9955427,0.00149247,0.0003798784,0.0007935556,0.0011894,0.0006020144],"domain_scores_gemma":[0.8971427,0.07564842,0.009980069,0.01323748,0.002407044,0.001584253],"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":[0.001053098,0.000222064,0.005931737,0.0001384811,0.0001532019,0.00111462,0.0005994157,0.05777997,0.001459706,0.9052812,0.0022632,0.0240033],"study_design_scores_gemma":[0.0000677775,0.00002369125,0.0009636478,0.000006311881,0.00001850214,0.0001622034,0.00008763192,0.06550568,0.0001820954,0.9327847,0.0001820105,0.00001572492],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.805778,0.0005879305,0.1611398,0.005127906,0.0001841642,0.00006437573,0.0003108072,0.0003982116,0.02640883],"genre_scores_gemma":[0.9917735,0.00009348293,0.006411271,0.0001218099,0.0001279969,0.00001229542,0.00005972355,0.00002948719,0.001370378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009206142,"threshold_uncertainty_score":0.03942811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03863055834582631,"score_gpt":0.2241739437066349,"score_spread":0.1855433853608086,"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."}}