{"id":"W2153874984","doi":"10.1017/s096392681200065x","title":"Modern industrial policy and zoning: Chicago, 1910–1930","year":2012,"lang":"en","type":"article","venue":"Urban History","topic":"American History and Culture","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Zoning; State (computer science); Industrial policy; Real estate; Estate; Politics; Political science; Public administration; Urban policy; Economy; Political economy; Economics; Urban planning; Law; Engineering; Market economy; Civil 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001637211,0.0001833634,0.0001917879,0.0001857213,0.0001917409,0.00002902878,0.0001499352,0.000131508,0.0006352841],"category_scores_gemma":[0.0001201123,0.0001773913,0.00006278579,0.0001305808,0.0002015412,0.0008959867,0.00009082084,0.000263755,0.0002781458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003838969,"about_ca_system_score_gemma":0.00006382787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005154226,"about_ca_topic_score_gemma":0.00001378946,"domain_scores_codex":[0.999078,0.00001262471,0.0001609321,0.0002158869,0.0001764229,0.0003561781],"domain_scores_gemma":[0.9995236,0.00001464168,0.0001732876,0.0002085913,0.00003447376,0.00004536489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004220465,0.00009044142,0.01723273,0.00003441044,0.00002209202,0.000003709708,0.001959053,0.000002390468,0.0005092116,0.0268057,0.947503,0.005795088],"study_design_scores_gemma":[0.0003388371,0.000006473818,0.001512949,0.00001129748,0.00003923595,0.000002931769,0.0001122121,0.00007178047,0.000002352542,0.0001102273,0.9975548,0.0002368836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2021025,0.01809477,0.0002020485,0.0007515773,0.004227269,0.0003921853,0.000005332787,0.0005664691,0.7736578],"genre_scores_gemma":[0.9541025,0.000007231893,0.00005468577,0.004256126,0.01343432,0.00001572155,0.00001739682,0.00003925161,0.02807283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7519999,"threshold_uncertainty_score":0.7233807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03217562824847298,"score_gpt":0.198918284631354,"score_spread":0.166742656382881,"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."}}