{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002741354,0.00006891843,0.0001313668,0.00009606249,0.0002310647,0.00007388797,0.0003344157,0.00003933964,0.0000968797],"category_scores_gemma":[0.0005935782,0.00005785081,0.00005382732,0.000721544,0.00006434477,0.0004187765,0.00002553628,0.0004888557,0.00005332816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001353806,"about_ca_system_score_gemma":0.0007896169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005810173,"about_ca_topic_score_gemma":0.00001085199,"domain_scores_codex":[0.9980081,0.0001387986,0.0006614118,0.0001841541,0.0005566241,0.0004508593],"domain_scores_gemma":[0.9985111,0.0001160294,0.0005857105,0.0001685205,0.0005490019,0.00006962931],"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":[0.00003503589,0.0000297473,0.00006403706,0.000001472392,0.00002846728,1.666801e-7,0.0003759582,0.06724317,0.01042649,0.9012758,0.0002073948,0.02031233],"study_design_scores_gemma":[0.0001180932,0.00004047031,0.00002419554,0.000001285278,0.00001755492,0.00004644189,0.002217357,0.1567577,0.00104274,0.8393644,0.0003174311,0.00005237981],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06033466,0.0001357614,0.9383439,0.0009135846,0.00009726288,0.00006671148,0.00001401826,0.00001184902,0.000082182],"genre_scores_gemma":[0.9974369,0.0001647484,0.001646912,0.00006478157,0.0001612923,0.000001533173,0.000002020704,0.000008135156,0.0005136187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9371023,"threshold_uncertainty_score":0.2359087,"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."}}