{"id":"W1607925560","doi":"","title":"A Brief Analysis on the Development Strategies for New-Type Urbanization Simulated by Demographic Factors: Based on Real Evidence in Chongqing","year":2014,"lang":"en","type":"article","venue":"Canadian social science","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Urbanization; Industrialisation; Population; Informatization; Modernization theory; Distribution (mathematics); Economic growth; Geography; Demographic economics; Business; Economic geography; Economics; Demography; Computer science; Sociology","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":[0.000903229,0.0002999619,0.0002244367,0.001420076,0.0003839371,0.0008785286,0.0005974615,0.0003772042,0.002775772],"category_scores_gemma":[0.002696183,0.0001699364,0.0006002316,0.002058649,0.0003520394,0.001174774,0.0005053243,0.0003031508,0.0001203872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003011695,"about_ca_system_score_gemma":0.0009760425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04316864,"about_ca_topic_score_gemma":0.04469496,"domain_scores_codex":[0.9996643,0.0001384693,0.00002950552,0.00005023396,0.00005049935,0.00006695138],"domain_scores_gemma":[0.9991285,0.0004118254,0.0001425219,0.00004614565,0.0002151744,0.00005572145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002253475,0.0002573073,0.7902285,0.0007627793,0.0002781206,0.004069177,0.004156284,0.102563,0.0009977169,0.03966346,0.005489922,0.05130836],"study_design_scores_gemma":[0.00004208994,0.0001659258,0.75378,0.0001581206,0.0002028443,0.000339137,0.01231086,0.2142653,0.000630529,0.008072773,0.009961264,0.00007121197],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891658,0.0005288484,0.003295511,0.0008205888,0.00001933864,0.00008694494,0.001446741,0.00002712776,0.004609021],"genre_scores_gemma":[0.9971418,0.0005875132,0.000918444,0.00002268348,0.000006485062,0.00003487687,0.0006713736,0.000004650396,0.0006120881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04316864,"threshold_uncertainty_score":0.08583474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05237362756902508,"score_gpt":0.2388373459927267,"score_spread":0.1864637184237016,"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."}}