{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001435385,0.0001603372,0.0004634476,0.0001378827,0.0001295027,0.0002447586,0.001227738,0.00009792624,0.001587613],"category_scores_gemma":[0.00003999414,0.0001618035,0.00009283567,0.0002861524,0.0006224739,0.0009852182,0.0005690583,0.000249734,0.000001707411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001048539,"about_ca_system_score_gemma":0.00005749444,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007820618,"about_ca_topic_score_gemma":0.01035442,"domain_scores_codex":[0.9983497,0.0002630093,0.0005858633,0.0002246957,0.0002691594,0.0003076249],"domain_scores_gemma":[0.9988551,0.00011879,0.0006211171,0.0002045956,0.00002703513,0.000173326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004909206,0.00007603846,0.9839466,0.00001144057,0.00003075492,0.000006932943,0.0004800512,0.0004275295,0.0003972857,0.002677616,0.001545498,0.01035118],"study_design_scores_gemma":[0.0002841085,0.000007429325,0.9915393,0.0001033324,0.00002082015,0.000002001988,0.0004320504,0.0009549194,0.00002088335,0.002574414,0.003884729,0.0001759852],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9705208,0.006255585,0.00002600685,0.00007260841,0.0006483659,0.0002559986,0.00008747898,0.000007473966,0.0221257],"genre_scores_gemma":[0.9891639,0.010294,0.00006184418,0.00007227146,0.0003011576,0.000004474056,0.000006100633,0.00001425364,0.00008198859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02204371,"threshold_uncertainty_score":0.9993251,"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."}}