{"id":"W2138653963","doi":"10.1093/cjres/rsn018","title":"The rise of the mega-region","year":2008,"lang":"en","type":"article","venue":"Cambridge Journal of Regions Economy and Society","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":332,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"George (robot); Library science; Political science; Media studies; Economic history; History; Management; Sociology; Art history; Economics","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":[0.001067088,0.0001714052,0.0003944235,0.001652124,0.0005899511,0.001944575,0.0005000736,0.0003256683,0.003708461],"category_scores_gemma":[0.006033977,0.0002134076,0.0002857998,0.003799039,0.0007556803,0.002513995,0.002238725,0.001117691,0.0007163522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007410146,"about_ca_system_score_gemma":0.00047042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01161294,"about_ca_topic_score_gemma":0.01938693,"domain_scores_codex":[0.9991024,0.0002855021,0.00003752515,0.0003046225,0.0001913238,0.00007875243],"domain_scores_gemma":[0.9961424,0.001195099,0.0007490758,0.0007077999,0.0008893408,0.000316309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003436627,0.00004427542,0.384324,0.0008945574,0.0003393402,0.0006586243,0.0134699,0.009640916,0.002355375,0.3255425,0.06465334,0.1977336],"study_design_scores_gemma":[0.00001826696,0.00004159399,0.3996616,0.0002993582,0.00008011046,0.0005068712,0.00396163,0.003932428,0.001427036,0.03560346,0.554406,0.00006161085],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7697008,0.0189154,0.05638067,0.01322251,0.0004517332,0.0000674703,0.04436155,0.0004089649,0.09649101],"genre_scores_gemma":[0.9630708,0.003426738,0.01891928,0.0006708972,0.0001599309,0.00006024845,0.01030074,0.0002014017,0.003190036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01161294,"threshold_uncertainty_score":0.02309072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02553436286103352,"score_gpt":0.1931597598538786,"score_spread":0.1676253969928451,"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."}}