{"id":"W2317826669","doi":"10.2307/2672176","title":"The Changing Nature of East Asia as an Economic Region","year":2000,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"East Asia; Geography; Political science; Economic geography; China; 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":[0.001129017,0.0001561008,0.000145656,0.0006438366,0.001128576,0.006217435,0.0003774645,0.0006173315,0.002450128],"category_scores_gemma":[0.001076606,0.0001191426,0.0001299531,0.001263037,0.002902239,0.007429973,0.002670014,0.0009680875,0.0002382753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002047426,"about_ca_system_score_gemma":0.001728652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004553053,"about_ca_topic_score_gemma":0.005299283,"domain_scores_codex":[0.999519,0.0001923091,0.00002304044,0.00007042406,0.00006632045,0.0001289505],"domain_scores_gemma":[0.9992685,0.0001781327,0.0001948408,0.00005375586,0.0001567522,0.0001479425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005914816,0.00002958809,0.02400313,0.0002823359,0.00003658345,0.001324872,0.05243799,0.0007893998,0.001651436,0.8326883,0.006209095,0.08048819],"study_design_scores_gemma":[0.00001149554,0.0001021577,0.08220644,0.0009186699,0.00006981548,0.001546162,0.1078515,0.001575572,0.001164721,0.113744,0.6907408,0.00006865697],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.587796,0.04852015,0.004641824,0.03216916,0.0007076206,0.00001761446,0.0001678484,0.00004060198,0.3259393],"genre_scores_gemma":[0.981701,0.01116266,0.0006919905,0.0009163059,0.0001458046,0.000007384738,0.00002802755,0.000009291254,0.005337496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006217435,"threshold_uncertainty_score":0.01485515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02121102552359424,"score_gpt":0.1984780291579508,"score_spread":0.1772670036343566,"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."}}