{"id":"W2342804801","doi":"10.2139/ssrn.2472107","title":"Efficient Ignorance: Information Heterogeneity in a Queue","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; University of Toronto","funders":"","keywords":"Ignorance; Queue; Computer science; Political science; Law; Computer network","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":[],"consensus_categories":[],"category_scores_codex":[0.002757337,0.0001314681,0.0001695447,0.0003888039,0.0001750228,0.0001497008,0.0002379788,0.00004758181,0.00002171754],"category_scores_gemma":[0.0002484361,0.0001194717,0.00009387275,0.0005181774,0.00002651495,0.0008892864,0.00005193161,0.0007812554,0.0002304025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003892261,"about_ca_system_score_gemma":0.0001104842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001157913,"about_ca_topic_score_gemma":0.001203985,"domain_scores_codex":[0.9981285,0.00003457181,0.0003340837,0.0001186175,0.0002233376,0.001160883],"domain_scores_gemma":[0.9994189,0.00002600298,0.0002883751,0.000154542,0.0001014419,0.00001074368],"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":[0.000107026,0.00006858883,0.006797945,0.00002822558,0.00005042565,0.000001270674,0.00005232453,0.1801829,0.0001344264,0.767684,0.00002403067,0.04486884],"study_design_scores_gemma":[0.001746468,0.00004361778,0.00261688,0.00006399001,0.00007422157,0.00004769806,0.0009219342,0.2491331,0.00006266798,0.730049,0.01477847,0.0004620462],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9074847,0.0001320821,0.08909985,0.0003905625,0.0001387862,0.0000832859,2.118438e-7,0.00005177536,0.002618727],"genre_scores_gemma":[0.9987544,0.00003482508,0.00005102366,0.0006564636,0.0004456175,0.000005039605,0.000004825276,0.00001131933,0.00003641488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09126975,"threshold_uncertainty_score":0.4871916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00431458246263078,"score_gpt":0.2116697263952871,"score_spread":0.2073551439326563,"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."}}