{"id":"W3205338458","doi":"10.2139/ssrn.3704644","title":"Order Statistics Approaches to Unobserved Heterogeneity in Auctions","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; University of Toronto","funders":"","keywords":"Econometrics; Common value auction; Statistics; Order (exchange); Economics; Order statistic; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00270299,0.0001127784,0.0001836102,0.0001426233,0.0002825963,0.000136568,0.0005805613,0.00004949473,0.000142662],"category_scores_gemma":[0.001133209,0.00009235542,0.00006441459,0.001472337,0.00004975663,0.0001943015,0.00007037441,0.0009757074,0.0005351581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002279164,"about_ca_system_score_gemma":0.0008246044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001263008,"about_ca_topic_score_gemma":0.0009633084,"domain_scores_codex":[0.9974803,0.0002363756,0.0005267123,0.0003254669,0.0004826242,0.0009485627],"domain_scores_gemma":[0.9990547,0.0002064819,0.0001591487,0.0002317567,0.000134176,0.0002137148],"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":[0.00007287847,0.00009856213,0.005223366,0.000001149953,0.0000372359,0.000001815746,0.0006870308,0.008590126,0.000302235,0.9436413,0.001185535,0.04015873],"study_design_scores_gemma":[0.0003595339,0.0001767333,0.004697269,0.000002331708,0.0000113251,0.00006566503,0.004843887,0.002502038,0.0001947877,0.9703944,0.01657839,0.0001736649],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2350736,0.0001207223,0.7497768,0.01442716,0.00008902485,0.0001523083,0.00001979302,0.00002387215,0.0003167396],"genre_scores_gemma":[0.9943584,0.00006866702,0.003767325,0.0006197084,0.0002063002,0.00001749108,0.000003459547,0.00001199895,0.0009466744],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7592848,"threshold_uncertainty_score":0.6878554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3229868426705758,"score_gpt":0.3678795236351845,"score_spread":0.04489268096460874,"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."}}