{"id":"W7133027773","doi":"","title":"Essays in Urban and Spatial Economics","year":2025,"lang":"","type":"dissertation","venue":"TSpace","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Margin (machine learning); Discrete choice; Urban economics; Census; Census tract; Spatial econometrics; Empirical evidence; Urban spatial structure","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001001303,0.0008339233,0.0007524352,0.001558943,0.001888409,0.00341061,0.0008189825,0.001724733,0.02501153],"category_scores_gemma":[0.002840725,0.0003795937,0.001052058,0.002611681,0.003435168,0.003270313,0.001375599,0.002700859,0.004876431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003994687,"about_ca_system_score_gemma":0.001602879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004219641,"about_ca_topic_score_gemma":0.003258435,"domain_scores_codex":[0.9992836,0.0002821256,0.00003775461,0.0001289158,0.0001941152,0.00007342384],"domain_scores_gemma":[0.9982924,0.001140605,0.00008596146,0.0001288362,0.0002425657,0.0001096746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001402745,0.00002764355,0.0005070997,0.0001940325,0.00001703201,0.00004215593,0.0005417294,0.001121351,0.00007083096,0.6823608,0.2854227,0.02968068],"study_design_scores_gemma":[0.000007203661,0.00001401825,0.0008552557,0.0003419242,0.000007063717,0.00005078973,0.0004535958,0.0006797274,0.00004373124,0.1616527,0.8358861,0.000007832837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007469248,0.2004492,0.01780982,0.1604737,0.01741194,0.00004900181,0.0008395814,0.0002332832,0.5952643],"genre_scores_gemma":[0.2307683,0.2105386,0.01294617,0.02548032,0.03676176,0.0002480852,0.001120881,0.0005546753,0.4815812],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02501153,"threshold_uncertainty_score":0.08367193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02051237763867945,"score_gpt":0.2483277403442961,"score_spread":0.2278153627056167,"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."}}