{"id":"W3024928891","doi":"10.2139/ssrn.3046905","title":"Efficient Inaccuracy: User-Generated Information Sharing in a Queue","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Queue; Computer science; Computer network; Operations research; Mathematics","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":[0.01489804,0.0007391336,0.002236982,0.001894516,0.002462828,0.006151548,0.005030292,0.003466845,0.004816118],"category_scores_gemma":[0.114046,0.001451894,0.0009591495,0.004079812,0.00290579,0.01029454,0.004571492,0.003831852,0.00047963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003951284,"about_ca_system_score_gemma":0.005375726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007405166,"about_ca_topic_score_gemma":0.003844453,"domain_scores_codex":[0.9886879,0.003444346,0.0007436992,0.001701567,0.004026962,0.00139542],"domain_scores_gemma":[0.8712423,0.0956692,0.006792616,0.01441417,0.009248637,0.002632997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001283227,0.0004436435,0.0126949,0.0001840582,0.0001887296,0.0009186193,0.001451841,0.5560339,0.005557598,0.364209,0.00378738,0.05324713],"study_design_scores_gemma":[0.00002854028,0.00005770818,0.0005114069,0.000008278389,0.00003244253,0.0001191524,0.00006932112,0.9376948,0.001188348,0.05990697,0.0003529281,0.00003016476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1864752,0.0003550257,0.8063887,0.001936542,0.0002146071,0.0001192372,0.0001681448,0.0005073865,0.003835161],"genre_scores_gemma":[0.9648576,0.0001460418,0.03138854,0.0001691075,0.0001325795,0.00004030049,0.00006985569,0.0000920719,0.003103783],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01489804,"threshold_uncertainty_score":0.07878935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009139232513702031,"score_gpt":0.2407723147750677,"score_spread":0.2316330822613657,"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."}}