{"id":"W3153213277","doi":"10.2139/ssrn.3599045","title":"Identification of Auction Models Using Order Statistics","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Identification (biology); Computer science; Statistics; Order (exchange); Order statistic; Econometrics; Mathematics; Economics","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":[0.005648485,0.0009394237,0.002298125,0.001830219,0.0006711816,0.003746887,0.001420006,0.001750746,0.003362125],"category_scores_gemma":[0.02935083,0.001184355,0.001798675,0.001447252,0.001199654,0.004206977,0.001187157,0.002261486,0.0006601486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001335673,"about_ca_system_score_gemma":0.003109885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003196372,"about_ca_topic_score_gemma":0.002903829,"domain_scores_codex":[0.9975883,0.001436387,0.0001180134,0.0002638309,0.0003489647,0.0002446459],"domain_scores_gemma":[0.9737709,0.02143412,0.00231793,0.001103234,0.0009973428,0.000376374],"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":[0.0001686335,0.0002270021,0.004659694,0.0001341149,0.0001467094,0.0001620593,0.0001527713,0.7497225,0.0007149056,0.2230197,0.001357694,0.01953414],"study_design_scores_gemma":[0.00001426102,0.00002009403,0.0003516614,0.000008438158,0.00001137557,0.00002156181,0.00002096976,0.9139245,0.0001631982,0.08529126,0.0001615852,0.00001101949],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09505159,0.0001706642,0.8996373,0.0004647194,0.00003954945,0.00009880911,0.0002342802,0.0003158889,0.003987147],"genre_scores_gemma":[0.9408512,0.0003291512,0.05267758,0.00006740922,0.0000619335,0.0001742735,0.0004814392,0.0000823744,0.005274529],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005648485,"threshold_uncertainty_score":0.02987236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1006871431750078,"score_gpt":0.379616543580708,"score_spread":0.2789294004057002,"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."}}