{"id":"W2170031988","doi":"","title":"Buying Anonymity: An Investigation of Petroleum and Natural Gas Lease Auctions","year":2010,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Common value auction; Private information retrieval; Competitor analysis; Bidding; Lease; Order (exchange); Anonymity; Microeconomics; Business; Auction theory; English auction; Forward auction; Eauction; Empirical research; Test (biology); Economics; Advertising; Marketing; Computer security; Computer science; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.008816945,0.0003046508,0.0009249521,0.00177566,0.002138533,0.003749785,0.001497133,0.001794776,0.005687255],"category_scores_gemma":[0.05119409,0.000429602,0.001007362,0.003040566,0.002690478,0.005605163,0.002222571,0.002238674,0.0004472182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002415536,"about_ca_system_score_gemma":0.001531596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.011643,"about_ca_topic_score_gemma":0.008874983,"domain_scores_codex":[0.9921979,0.004862456,0.0003253406,0.0003599161,0.001609657,0.0006446759],"domain_scores_gemma":[0.8962595,0.08455104,0.01108639,0.004369569,0.002562141,0.001171313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006614206,0.005401165,0.4886541,0.001155368,0.0007483679,0.004873988,0.02373864,0.04781386,0.005003667,0.2897671,0.00818758,0.118042],"study_design_scores_gemma":[0.001277769,0.002448475,0.4156097,0.0001991187,0.0006349955,0.004330237,0.03737323,0.2768623,0.006754224,0.2202744,0.03372748,0.0005080143],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975024,0.0004039023,0.007182731,0.0009327,0.00001598981,0.0001280013,0.0002335688,0.00004090983,0.01603814],"genre_scores_gemma":[0.9957353,0.0002568428,0.001713626,0.00009481267,0.00002757299,0.00003765077,0.0001766688,0.00001302322,0.001944536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.011643,"threshold_uncertainty_score":0.04662901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03406017392751946,"score_gpt":0.2772663879744991,"score_spread":0.2432062140469796,"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."}}