{"id":"W3125890331","doi":"","title":"The Rise of the Mega Region","year":2007,"lang":"en","type":"preprint","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Mega-; Globe; Megacity; Population; Economic geography; Geography; Regional science; Economics; Econometrics; Economy; Demography","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":[0.0006912773,0.0002071791,0.0003001232,0.001335545,0.0005414738,0.00192932,0.0003702599,0.0002937602,0.00364946],"category_scores_gemma":[0.003073114,0.0002099564,0.0002979633,0.002274149,0.0005134426,0.001642937,0.001661848,0.0008385757,0.0008288145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007041778,"about_ca_system_score_gemma":0.0003926308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00867321,"about_ca_topic_score_gemma":0.01160835,"domain_scores_codex":[0.9995369,0.0001172782,0.00001555226,0.0001683081,0.0001028549,0.00005909354],"domain_scores_gemma":[0.9986753,0.000336919,0.0003021627,0.0002125699,0.0003561543,0.0001168892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005338085,0.00004385434,0.4420685,0.0007942104,0.0003299383,0.0008708938,0.006955466,0.0117206,0.003924288,0.188906,0.0868742,0.2569782],"study_design_scores_gemma":[0.00002437459,0.00005109764,0.4990608,0.0002601231,0.00008618013,0.0006225852,0.002724284,0.006595799,0.002564461,0.01994918,0.46801,0.00005104158],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7840819,0.01971208,0.03005083,0.01076141,0.0004355297,0.0000509138,0.03104709,0.0005804469,0.1232799],"genre_scores_gemma":[0.9724415,0.00353745,0.01081742,0.0006815119,0.0002070389,0.00005574151,0.007733653,0.0002327579,0.00429291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00867321,"threshold_uncertainty_score":0.01724547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05168997351932845,"score_gpt":0.2187955889897175,"score_spread":0.167105615470389,"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."}}