{"id":"W1599225982","doi":"","title":"Pre-Auction Inventory and Bidding BehaviorAn Analysis of Canadian Treasury Auctions","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"English auction; Proxy bid; Unique bid auction; Vickrey auction; Auction theory; Bid shading; Multiunit auction; Generalized second-price auction; Vickrey–Clarke–Groves auction; Microeconomics; Reverse auction; Revenue equivalence; Eauction; Dutch auction; Common value auction; Business; Bidding; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005098421,0.00009006723,0.0002209388,0.00256613,0.0005406998,0.00007898377,0.0002630082,0.00006603054,0.000146386],"category_scores_gemma":[0.0003136696,0.00007631578,0.0001649516,0.002998127,0.0001165876,0.0002651883,0.0000163173,0.0005290253,0.00001428294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002998179,"about_ca_system_score_gemma":0.0006649016,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009285145,"about_ca_topic_score_gemma":0.2211518,"domain_scores_codex":[0.9980122,0.0002488022,0.000456125,0.0002281129,0.0003907133,0.0006639741],"domain_scores_gemma":[0.9988871,0.0001300292,0.0003060657,0.0002714047,0.0002021845,0.000203175],"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":[0.00003943406,0.0001036891,0.08058392,0.000001590557,0.0007246802,3.858809e-7,0.0009893684,0.003893738,0.00143272,0.6939458,0.0003608368,0.2179238],"study_design_scores_gemma":[0.0004490437,0.0002256101,0.1562639,0.000009426035,0.001283612,0.0002268067,0.006563205,0.00708453,0.0001924997,0.8024732,0.02493159,0.0002965004],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9543774,0.0002525565,0.04323557,0.0007133464,0.0001480606,0.00007152763,0.000009301308,0.00001478385,0.001177414],"genre_scores_gemma":[0.9976727,0.0002970242,0.00005800637,0.00002723098,0.000102828,0.000005778761,0.000003921168,0.000006790525,0.001825688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2176274,"threshold_uncertainty_score":0.9973121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04417860219331941,"score_gpt":0.3362354647328346,"score_spread":0.2920568625395151,"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."}}