{"id":"W4406409298","doi":"10.1177/10780874241303105","title":"The Impact of Congestion Pricing Plan on the Value of Residential Properties: Evidence from Tehran","year":2025,"lang":"en","type":"article","venue":"Urban Affairs Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Zoning; Valuation (finance); Traffic congestion; Limiting; Work (physics); Congestion pricing; Value (mathematics); Difference in differences; Road pricing; Business; Public economics; Economics; Transport engineering; Finance; Econometrics","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":[0.001542265,0.0002295597,0.000299911,0.001258706,0.0002403184,0.0007956534,0.0006046278,0.0002978772,0.001548144],"category_scores_gemma":[0.004683467,0.0001210345,0.0006421984,0.002232186,0.000629593,0.0005068726,0.000439797,0.0005128061,0.0002159717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000969996,"about_ca_system_score_gemma":0.001089099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04641707,"about_ca_topic_score_gemma":0.05105635,"domain_scores_codex":[0.9992712,0.0002298734,0.00005038307,0.0000860688,0.0002545025,0.0001079802],"domain_scores_gemma":[0.9959382,0.001473294,0.001442925,0.0002063797,0.0007706879,0.0001685818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005165644,0.0004343085,0.931541,0.0004808939,0.0006668717,0.0006576841,0.001504818,0.00214325,0.0003137448,0.002025924,0.004385953,0.05532894],"study_design_scores_gemma":[0.00002969578,0.0002191793,0.9917266,0.00007348977,0.0002942836,0.00009452838,0.00195958,0.001477476,0.0001481666,0.0002711075,0.003693691,0.0000122608],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956454,0.001807967,0.0001176593,0.0002672399,0.00002217931,0.000007943394,0.0004690106,0.000004146927,0.001658404],"genre_scores_gemma":[0.9968647,0.001837389,0.00007250414,0.00003474417,0.00003939412,0.000003737898,0.0008559468,0.000002817383,0.0002887088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04641707,"threshold_uncertainty_score":0.09229374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05373869872880553,"score_gpt":0.2555252160944754,"score_spread":0.2017865173656698,"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."}}