{"id":"W4381059766","doi":"10.1016/j.jeconom.2023.04.003","title":"Identification of auction models using order statistics","year":2023,"lang":"en","type":"article","venue":"Journal of Econometrics","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Common value auction; Identification (biology); Econometrics; Set (abstract data type); Order (exchange); Competition (biology); Statistics; Economics; Mathematics; Computer science","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":[0.005940915,0.0007547929,0.001987338,0.001877879,0.0006818726,0.003528781,0.001323332,0.00152891,0.002988647],"category_scores_gemma":[0.03384398,0.001124021,0.00188319,0.001354927,0.001062015,0.004031287,0.001100214,0.002148593,0.0005749637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001183442,"about_ca_system_score_gemma":0.003239475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003815306,"about_ca_topic_score_gemma":0.003095502,"domain_scores_codex":[0.9977056,0.001437281,0.0001205367,0.0002006606,0.000312584,0.0002234504],"domain_scores_gemma":[0.9674187,0.02764278,0.00213251,0.001323445,0.001121816,0.0003607659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000168597,0.0002464323,0.005550025,0.0001131389,0.0001435036,0.0001554778,0.0001672593,0.7566926,0.0008385848,0.2119409,0.001326319,0.02265705],"study_design_scores_gemma":[0.00001624259,0.00001729909,0.0003317544,0.000007341084,0.00001078976,0.00002277573,0.00001904574,0.9315466,0.0001858235,0.06767205,0.0001600201,0.00001016201],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0964681,0.0001751394,0.8995123,0.0003993626,0.00003720374,0.00008545462,0.0001747035,0.0003305302,0.00281727],"genre_scores_gemma":[0.9207232,0.0003458635,0.07373315,0.00005845309,0.0000574521,0.000154839,0.0005023048,0.0001151792,0.004309609],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005940915,"threshold_uncertainty_score":0.03141892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5616867845909006,"score_gpt":0.4312851650764781,"score_spread":0.1304016195144225,"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."}}