{"id":"W4206673440","doi":"10.2139/ssrn.3991930","title":"Queuing and inventories in limit order markets","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Psychological and Temporal Perspectives Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of Calgary","funders":"","keywords":"Business; Risk analysis (engineering); Medicine","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":[0.007613478,0.0003666458,0.0007522402,0.001349621,0.0009453169,0.005454549,0.001602373,0.001287394,0.007400625],"category_scores_gemma":[0.04147635,0.0008088478,0.0009132687,0.001751303,0.002851836,0.01241736,0.00122181,0.001649036,0.000348815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001921646,"about_ca_system_score_gemma":0.001809331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004377386,"about_ca_topic_score_gemma":0.003244691,"domain_scores_codex":[0.9984936,0.0007043172,0.0001510898,0.0002132587,0.0002525999,0.0001852041],"domain_scores_gemma":[0.9627067,0.02959345,0.003111817,0.00175258,0.001549443,0.001286092],"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":[0.0001277881,0.0001088654,0.009389278,0.00004243755,0.00003311002,0.00009679169,0.0005807261,0.01695116,0.0005508136,0.9625102,0.0002842287,0.009324542],"study_design_scores_gemma":[0.00002091896,0.00003534288,0.004309689,0.0000137264,0.00002243815,0.00007182125,0.0002859468,0.06869613,0.0001743853,0.9258304,0.0005124292,0.00002669078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7163461,0.002265377,0.2598419,0.002365507,0.000103019,0.00006053896,0.0002580475,0.0001551917,0.01860438],"genre_scores_gemma":[0.9851736,0.0007257874,0.009908802,0.00006631232,0.00007230071,0.00004905275,0.00009934619,0.0000249406,0.003879837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007613478,"threshold_uncertainty_score":0.04026443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0263508916902039,"score_gpt":0.3347682340547593,"score_spread":0.3084173423645554,"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."}}