{"id":"W2991736154","doi":"","title":"The Overall Analysis and Regional Difference of China's Urbanization","year":2014,"lang":"en","type":"article","venue":"Canadian social science","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Urbanization; China; Restructuring; Investment (military); Fixed asset; Economic restructuring; Economic geography; Panel data; Economics; Economic growth; Development economics; Geography; Political science; Production (economics); Macroeconomics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005218197,0.00005604441,0.0001847746,0.0002463646,0.0005863046,0.00008405317,0.0002679235,0.00003321957,0.00003806724],"category_scores_gemma":[0.0001054802,0.00005056896,0.00007219967,0.0008018876,0.0005770555,0.00009826131,0.00002169966,0.00004170066,0.000009347513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001193669,"about_ca_system_score_gemma":0.00007153748,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0473592,"about_ca_topic_score_gemma":0.03011946,"domain_scores_codex":[0.9993085,0.000009849646,0.0002203092,0.0002206095,0.00004288435,0.0001978159],"domain_scores_gemma":[0.9994891,0.0000338146,0.0001747235,0.0001191279,0.00004060073,0.0001426166],"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":[7.829539e-7,0.000001930516,0.2114002,8.761092e-7,0.00002746814,5.175043e-8,0.0001985089,0.0000155131,0.000005274519,0.7864976,0.0001041654,0.001747591],"study_design_scores_gemma":[0.00005793872,0.000009166624,0.9285811,9.214075e-7,0.00001734938,2.043315e-7,0.00004963425,0.01570473,0.000003466255,0.0413878,0.0140954,0.00009225171],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.832038,0.0004106751,0.01027377,0.005814177,0.0001520218,0.0001008847,0.00005922237,0.000009572445,0.1511416],"genre_scores_gemma":[0.998983,0.00006128457,0.00003647978,0.0002550447,0.00005238676,0.000002091833,0.000003833315,0.000002614468,0.0006032997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7451098,"threshold_uncertainty_score":0.9875783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0127633525884427,"score_gpt":0.1847184169473383,"score_spread":0.1719550643588956,"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."}}