{"id":"W1978923750","doi":"10.1109/hicss.2013.271","title":"Information Revelation in Multi-attribute Reverse Auctions: An Experimental Examination","year":2013,"lang":"en","type":"article","venue":"","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Common value auction; Revelation; Allocative efficiency; Profit (economics); Microeconomics; Limit (mathematics); Equity (law); Economics; Computer science; 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":[0.01573306,0.0009081171,0.001244083,0.0006397662,0.0006546399,0.00192434,0.001505266,0.001274538,0.004704321],"category_scores_gemma":[0.0760787,0.0006251757,0.0008836389,0.0006164361,0.002176022,0.003788223,0.00192518,0.00288235,0.0002846259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005964721,"about_ca_system_score_gemma":0.0008672105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002370718,"about_ca_topic_score_gemma":0.0001429658,"domain_scores_codex":[0.9868383,0.008185241,0.0009609018,0.001019314,0.002482715,0.0005135394],"domain_scores_gemma":[0.8189905,0.1573145,0.01024154,0.00997715,0.002340601,0.001135641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0849133,0.1449592,0.04459653,0.006945023,0.002059492,0.002098465,0.01759252,0.05988565,0.2853233,0.1306831,0.002031583,0.2189119],"study_design_scores_gemma":[0.01856185,0.256254,0.07592504,0.0008892986,0.001766877,0.004044113,0.007428485,0.2852222,0.2050572,0.1335812,0.01030606,0.0009636316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877681,0.0001466653,0.009019025,0.0001186258,0.00003279731,0.0002414972,0.00003871291,0.00002217172,0.002612298],"genre_scores_gemma":[0.9882951,0.000163225,0.01029766,0.0000749705,0.00003168193,0.0003678092,0.00004490662,0.00001316416,0.0007116083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01573306,"threshold_uncertainty_score":0.0832054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1472566598685177,"score_gpt":0.4070339757917664,"score_spread":0.2597773159232487,"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."}}