{"id":"W3125729328","doi":"","title":"Information, Commitment, and Separation in Illiquid Housing Markets","year":2012,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Social Sciences and Humanities Research Council of Canada; Queen's University","keywords":"Adverse selection; Incentive; Commit; Information asymmetry; Real estate; Incentive compatibility; Private information retrieval; Listing (finance); Microeconomics; Business; Market liquidity; Matching (statistics); Economics; Complete information; Finance; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002062169,0.0004248937,0.001111032,0.0006970476,0.001028192,0.003504434,0.001844382,0.002710933,0.01026886],"category_scores_gemma":[0.009695241,0.0006253723,0.0007332939,0.000819228,0.002922883,0.007053856,0.003280358,0.002484497,0.0008391616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00128362,"about_ca_system_score_gemma":0.0009288347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001675519,"about_ca_topic_score_gemma":0.0009456704,"domain_scores_codex":[0.9990262,0.0003531796,0.0000530264,0.0001557689,0.0001907612,0.0002210981],"domain_scores_gemma":[0.9937214,0.00261866,0.001999959,0.0005336166,0.000302875,0.0008235124],"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":[0.0003476656,0.0002276913,0.001523311,0.00008401152,0.00002765565,0.0004966024,0.0004527241,0.08691246,0.001105953,0.8987835,0.001531926,0.00850652],"study_design_scores_gemma":[0.0001528147,0.00008985699,0.0005844659,0.0000186609,0.00001402912,0.00009578709,0.0001798948,0.3321964,0.0002865579,0.6652682,0.00107493,0.000038349],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6697897,0.0008452247,0.2867888,0.006504692,0.00008923696,0.0001339966,0.0002888751,0.00018046,0.03537899],"genre_scores_gemma":[0.9858437,0.0002308877,0.006868589,0.0001253473,0.00005364704,0.00003647597,0.00005152454,0.00001606792,0.006773859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01026886,"threshold_uncertainty_score":0.03435278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01848949552022339,"score_gpt":0.2251121869620598,"score_spread":0.2066226914418364,"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."}}