{"id":"W2324554694","doi":"10.5509/2005784535","title":"Globalization and Southeast Asian Capital Cities","year":2005,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Socioeconomic Development in Asia","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Globalization; Capital (architecture); Southeast asia; Economic geography; Development economics; Geography; Economy; Business; Political science; Economics; Ancient history; Market economy; History; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.000548571,0.0002268882,0.0001835349,0.001213695,0.003705487,0.005614595,0.000331308,0.0005863754,0.01378853],"category_scores_gemma":[0.001024518,0.0001370015,0.000210133,0.004978189,0.002432815,0.0021488,0.003460652,0.001178426,0.0003366781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004215238,"about_ca_system_score_gemma":0.00647513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1243767,"about_ca_topic_score_gemma":0.2441238,"domain_scores_codex":[0.9997384,0.00007463973,0.000009922585,0.00001623176,0.0000212545,0.000139569],"domain_scores_gemma":[0.9987413,0.0001418642,0.0002875169,0.0000465625,0.0001409093,0.0006417373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002169425,0.0002504792,0.6180203,0.0001835452,0.00005474807,0.001553506,0.07149605,0.000796704,0.0002200092,0.2455827,0.02140815,0.04021689],"study_design_scores_gemma":[0.00004196036,0.00008921306,0.6463021,0.0003765184,0.00008464723,0.0002876757,0.1890022,0.0004683482,0.0002420568,0.02222173,0.1408481,0.00003546265],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.833391,0.003185504,0.0001287158,0.01402379,0.0001291526,0.00001819408,0.0003766655,0.00001452882,0.1487325],"genre_scores_gemma":[0.9899352,0.001802481,0.00004033288,0.0003089533,0.00005052502,0.000008316638,0.00007903574,0.000005108534,0.007769956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1243767,"threshold_uncertainty_score":0.2473056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.010566168361334,"score_gpt":0.2435935951329458,"score_spread":0.2330274267716118,"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."}}