{"id":"W7002368026","doi":"","title":"Networks of European cities in worlds of global economic and environmental change","year":2010,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Global Urban Networks and Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Global city; Global warming; Climate change; Hyperlink; Urban hierarchy; Social connectedness; Variety (cybernetics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008202287,0.0002421285,0.0002038223,0.006559481,0.0008149496,0.002795157,0.0003173157,0.0004612511,0.005624307],"category_scores_gemma":[0.006727959,0.0002029515,0.000336873,0.01261879,0.0007767551,0.002880219,0.002408089,0.0002419328,0.0004449501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001406676,"about_ca_system_score_gemma":0.0004727571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01934703,"about_ca_topic_score_gemma":0.02472223,"domain_scores_codex":[0.9989213,0.000457289,0.00009000047,0.0002226613,0.0001647343,0.000144128],"domain_scores_gemma":[0.9969686,0.001072529,0.0009265145,0.000263362,0.0005219498,0.0002470035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004247626,0.00008198201,0.6476499,0.0004618542,0.0004489088,0.001072663,0.01990333,0.02838439,0.001423702,0.1521309,0.02225532,0.1257623],"study_design_scores_gemma":[0.00003997946,0.00006973174,0.7247429,0.0004659068,0.0001997609,0.0008992493,0.02125256,0.01605723,0.001074207,0.03495074,0.2001429,0.0001048878],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9103903,0.001705563,0.006144067,0.001123685,0.00003795096,0.00005295936,0.003808838,0.0001391604,0.07659749],"genre_scores_gemma":[0.9885756,0.0007922406,0.0032124,0.00007005825,0.00001387369,0.00005378293,0.002425787,0.00002666227,0.004829472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01934703,"threshold_uncertainty_score":0.03846884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1184312805117398,"score_gpt":0.4687175771323226,"score_spread":0.3502862966205829,"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."}}