{"id":"W1933180264","doi":"10.1111/reec.12015","title":"Bidding Wars for Houses","year":2013,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Bidding; Boom; Economics; Bust; Irrationality; Fell; Stadium; Monetary economics; Microeconomics; Political science; Rationality; Engineering","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":[0.0007843396,0.000129998,0.0002513425,0.000724792,0.0005801838,0.001354325,0.0003391343,0.0004647782,0.007624056],"category_scores_gemma":[0.007051418,0.000231137,0.000265972,0.0006950824,0.0002783734,0.001244638,0.0006615199,0.0008006518,0.001903599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005263835,"about_ca_system_score_gemma":0.0001838428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00326444,"about_ca_topic_score_gemma":0.005314478,"domain_scores_codex":[0.9991309,0.0001451477,0.00008578787,0.0001496612,0.0003117822,0.0001767822],"domain_scores_gemma":[0.992605,0.001267403,0.004526556,0.0003917605,0.0006201367,0.0005892413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003594019,0.0002507036,0.9143353,0.00008239857,0.0002470792,0.0006420062,0.001673361,0.001931636,0.001627525,0.005560493,0.01073273,0.06255743],"study_design_scores_gemma":[0.000006899468,0.0001237307,0.9806353,0.00001956812,0.00003141971,0.0006321106,0.001615194,0.002486017,0.0007472829,0.0009566885,0.01271934,0.00002640784],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892877,0.0005145679,0.0009397187,0.0002947058,0.00002306391,0.00001647885,0.0005015027,0.00002346141,0.008398618],"genre_scores_gemma":[0.9951872,0.0002237875,0.0001501924,0.00006351884,0.00003144,0.000007543031,0.0006197812,0.00000795168,0.003708684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007624056,"threshold_uncertainty_score":0.02550501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03467987138914597,"score_gpt":0.2106069623479666,"score_spread":0.1759270909588206,"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."}}