{"id":"W3123972522","doi":"10.2139/ssrn.2809095","title":"Competing with Asking Prices","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Econometrics; Business","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":[0.007269013,0.0009010393,0.002268157,0.0006640143,0.001677992,0.008508077,0.002503965,0.007296455,0.03974662],"category_scores_gemma":[0.06284934,0.001160942,0.001422733,0.001102048,0.002017682,0.008230779,0.002144962,0.005700472,0.002948745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001252064,"about_ca_system_score_gemma":0.001223285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007657891,"about_ca_topic_score_gemma":0.000872654,"domain_scores_codex":[0.9950042,0.00284689,0.0002241592,0.0006138662,0.0005535685,0.0007572144],"domain_scores_gemma":[0.9488825,0.04203352,0.001761089,0.003164687,0.001676013,0.002482125],"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":[0.001777094,0.0005103791,0.004591059,0.0003367232,0.000147888,0.001027594,0.0008389145,0.02085581,0.002665508,0.9208725,0.01148514,0.03489147],"study_design_scores_gemma":[0.0002169276,0.0002229392,0.001466793,0.00003473958,0.0001121184,0.0005279177,0.0003851482,0.1140192,0.0008135989,0.876569,0.005565369,0.00006624644],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4719089,0.001861926,0.2004684,0.01771952,0.001255444,0.0002557289,0.0006132923,0.0007429154,0.3051738],"genre_scores_gemma":[0.9707553,0.000169334,0.005615841,0.0005205186,0.0002300383,0.00004517096,0.00008914098,0.00007924478,0.02249544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03974662,"threshold_uncertainty_score":0.1329657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.030538597285491,"score_gpt":0.3302882618744348,"score_spread":0.2997496645889438,"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."}}