{"id":"W2020745513","doi":"10.1016/j.jue.2004.12.002","title":"From sectoral to functional urban specialisation","year":2005,"lang":"en","type":"article","venue":"Journal of Urban Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":606,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"University of Toronto; Connaught Fund; London School of Economics and Political Science","keywords":"Economic geography; Variety (cybernetics); Transformation (genetics); Function (biology); Business; Production (economics); Economics; Industrial organization; Natural resource economics; Biology; Microeconomics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004817921,0.0001794733,0.000621044,0.0004649205,0.00007965721,0.0001553792,0.0003061515,0.0001055359,0.001725839],"category_scores_gemma":[0.00006301528,0.000208838,0.0004108564,0.0001235882,0.00003333848,0.0006154316,0.00004514445,0.0001829737,0.0009787194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005524718,"about_ca_system_score_gemma":0.00006792667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003135923,"about_ca_topic_score_gemma":0.0002979159,"domain_scores_codex":[0.998014,0.00001225042,0.001416878,0.0002930353,0.00003717059,0.0002267143],"domain_scores_gemma":[0.9982169,0.00006393297,0.001150837,0.0002410459,0.0000814978,0.000245734],"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":[0.0004719805,0.0004323288,0.2302354,0.000008557607,0.00119076,0.000009228492,0.002452126,0.0777532,0.0001380776,0.4138153,0.2656516,0.007841315],"study_design_scores_gemma":[0.00108494,0.0001618881,0.05635281,0.00001130255,0.00003470007,0.00001433902,0.0001064546,0.009982431,0.0001585368,0.03954509,0.8921089,0.000438631],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771287,0.000637645,0.006538236,0.008198255,0.001467616,0.00008253242,0.0001787108,0.000009121489,0.005759182],"genre_scores_gemma":[0.9847013,0.0001724328,0.003458674,0.001515195,0.008879729,0.00000284661,0.00002754031,0.00003124403,0.001211077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6264572,"threshold_uncertainty_score":0.9997991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03726369293485314,"score_gpt":0.2006445675835155,"score_spread":0.1633808746486624,"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."}}