{"id":"W4388930768","doi":"10.1007/s11129-023-09274-9","title":"Identification in english auctions with shill bidding","year":2023,"lang":"en","type":"article","venue":"Quantitative Marketing and Economics","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Bidding; Common value auction; Auction theory; Context (archaeology); English auction; Microeconomics; Identification (biology); Vickrey auction; Sample (material); Dutch auction; Forward auction; Revenue equivalence; Computer science; Business; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00542578,0.00007315994,0.0001274803,0.000353357,0.0002663383,0.0001970538,0.0001376305,0.00003223368,0.00005769946],"category_scores_gemma":[0.00260463,0.00006339115,0.00002419841,0.0007848517,0.0001193173,0.0003325014,0.00004280202,0.00008734376,0.000196356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002550188,"about_ca_system_score_gemma":0.00001938315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006895847,"about_ca_topic_score_gemma":0.00007908441,"domain_scores_codex":[0.9988688,0.0001962783,0.0003695824,0.0003469125,0.00007972563,0.000138674],"domain_scores_gemma":[0.9969605,0.002513008,0.0001818994,0.0001939897,0.0001071676,0.00004345708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004430038,0.00009228491,0.1217025,0.00002411983,0.00005726361,0.000003274082,0.01604732,0.03356698,0.0005253488,0.7478575,0.004096132,0.07558426],"study_design_scores_gemma":[0.0007804967,0.00008243069,0.5302688,0.00006586562,0.00001820639,0.000009555735,0.1065637,0.1360253,0.0002857466,0.1884259,0.03694841,0.000525506],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991742,0.00001776836,0.002704364,0.000611785,0.0001625742,0.0001032234,0.00001780609,0.00007784173,0.004562626],"genre_scores_gemma":[0.9973658,0.00008315971,0.0007587806,0.00002572533,0.00004157532,0.00003516345,0.000007650317,0.000008437569,0.00167368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5594316,"threshold_uncertainty_score":0.3118174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09942627028907018,"score_gpt":0.363764124634449,"score_spread":0.2643378543453788,"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."}}