{"id":"W7098007074","doi":"","title":"Asymmetry in Procument Auctions: Some Evidence from Snow Removal Contracts","year":2001,"lang":"en","type":"article","venue":"","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Procurement; Common value auction; Nonparametric statistics; Snow; Empirical evidence; Estimation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01710821,0.0004851126,0.0015856,0.002035001,0.002006211,0.004206093,0.002628929,0.002619852,0.01960432],"category_scores_gemma":[0.1196169,0.0007659285,0.00112319,0.003826168,0.005736928,0.004519679,0.002142959,0.003294941,0.001533988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002555555,"about_ca_system_score_gemma":0.001813724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02073444,"about_ca_topic_score_gemma":0.01409374,"domain_scores_codex":[0.9893623,0.005399228,0.0007364736,0.0008333724,0.002473763,0.001194844],"domain_scores_gemma":[0.7082233,0.1779659,0.07757638,0.02404097,0.008821801,0.003371561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007789674,0.002194881,0.4520019,0.001383043,0.001640892,0.002346827,0.006467756,0.02903214,0.003495859,0.358073,0.0151252,0.1204489],"study_design_scores_gemma":[0.002757471,0.001380307,0.5365743,0.0004354322,0.001239797,0.001890735,0.007304953,0.07662996,0.004035442,0.3468728,0.02044469,0.0004341677],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9308409,0.001538934,0.01947693,0.003526018,0.00003408908,0.000161292,0.0009351601,0.00009600124,0.04339068],"genre_scores_gemma":[0.9965304,0.0003639259,0.0008861299,0.0002767068,0.00004632457,0.00002944429,0.0003124881,0.00001687155,0.001537656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02073444,"threshold_uncertainty_score":0.090478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1443192922790452,"score_gpt":0.4175382903502301,"score_spread":0.2732189980711849,"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."}}