{"id":"W4250418478","doi":"10.53910/26531313-e200471427-429198","title":"Metropolitan regions: New challenges for an urbanizing China","year":2004,"lang":"en","type":"article","venue":"Ekistics and the new habitat","topic":"Economic Zones and Regional Development","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Beijing; Metropolitan area; Geography; Urban planning; Work (physics); Political science; Economic growth; Regional science; Economy; Engineering; Archaeology; Civil engineering","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":[0.0009698337,0.0002448964,0.0003256403,0.00128168,0.003476341,0.006279527,0.0008204401,0.0009953362,0.009839365],"category_scores_gemma":[0.001322484,0.0001634515,0.0003062124,0.004168456,0.004843959,0.003374574,0.004120159,0.00118418,0.0003232611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0107366,"about_ca_system_score_gemma":0.01475362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1831105,"about_ca_topic_score_gemma":0.3126491,"domain_scores_codex":[0.9994726,0.0001506647,0.00001370331,0.00005150292,0.00008951713,0.0002221058],"domain_scores_gemma":[0.9989427,0.0001105811,0.00009597112,0.00004862759,0.0001483152,0.0006539056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004365016,0.00003300683,0.03233935,0.0001744444,0.00003781359,0.0004833562,0.01177536,0.001611027,0.0002056885,0.8403879,0.05681856,0.05608995],"study_design_scores_gemma":[0.00003159291,0.00005887513,0.1011681,0.0003267564,0.0000430492,0.0002993969,0.06018141,0.003660905,0.0002011187,0.1397666,0.6941939,0.0000682727],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3267525,0.01915853,0.003565404,0.5002447,0.0007093726,0.00008444636,0.001142183,0.0001569113,0.148186],"genre_scores_gemma":[0.9526518,0.01287334,0.001518265,0.005883895,0.0003577182,0.00006155299,0.0003143404,0.00003438414,0.02630473],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1831105,"threshold_uncertainty_score":0.3640893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05663152022101298,"score_gpt":0.2355886941199814,"score_spread":0.1789571738989685,"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."}}