{"id":"W3216468714","doi":"10.3386/w27850","title":"History and Urban Economics","year":2020,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Historical Economic and Social Studies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Urbanization; Urban economics; Proxy (statistics); Exploit; Regional economics; Economic geography; Regional science; Location theory; Focus (optics); Economics; Economy; Geography; Economic growth; Sociology; Social science","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":[0.000827561,0.0003868208,0.0003767108,0.0026668,0.001959276,0.003923265,0.0005382189,0.001041423,0.01801746],"category_scores_gemma":[0.002075389,0.0001710669,0.0002469115,0.004796938,0.007631737,0.004605489,0.002244446,0.001378919,0.001983788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005584425,"about_ca_system_score_gemma":0.001946255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01029705,"about_ca_topic_score_gemma":0.01672095,"domain_scores_codex":[0.9992771,0.0003581365,0.00001952862,0.0000871657,0.0001546295,0.0001035261],"domain_scores_gemma":[0.9989747,0.0005289293,0.0001291157,0.0000759813,0.000177799,0.0001135813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005120995,0.000006719491,0.0009336041,0.0001003228,0.00000384471,0.0000432534,0.0005122171,0.0005000044,0.00001209123,0.9500358,0.01951891,0.02832814],"study_design_scores_gemma":[0.000002590639,0.000007637061,0.002057916,0.0004859558,0.00000325506,0.0000967146,0.001022488,0.0002216912,0.00002827334,0.3400853,0.6559798,0.000008528676],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01122824,0.1595282,0.007363076,0.07848483,0.001829731,0.00003197763,0.0004567474,0.00006383122,0.7410134],"genre_scores_gemma":[0.5419561,0.2832595,0.004447299,0.01257898,0.007116163,0.0000808412,0.0006384225,0.000147011,0.1497758],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01801746,"threshold_uncertainty_score":0.06027442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4754470855934226,"score_gpt":0.430886660726046,"score_spread":0.04456042486737655,"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."}}