{"id":"W7097648822","doi":"","title":"Quantifying the Rural-Urban Gradient in Latin America and the Caribbean. Policy Research Working Paper 3634 Washington DC: World Bank. Retrieved from http://www-wds.worldbank.org/servlet/WDS_IBank_Servlet?pcont= details&eid=000016406_20050614122820","year":2005,"lang":"en","type":"article","venue":"","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Latin Americans; Census; Human settlement; Metropolitan area; Population; Quarter (Canadian coin); Distribution (mathematics); Population density","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":[0.001673559,0.0004608398,0.0004968811,0.002941115,0.001105314,0.004154501,0.000616124,0.001184464,0.01103644],"category_scores_gemma":[0.006000176,0.0004981034,0.0002300952,0.01717173,0.000827947,0.002958179,0.001619968,0.001243605,0.0009145539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005549454,"about_ca_system_score_gemma":0.008981366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.341148,"about_ca_topic_score_gemma":0.3471374,"domain_scores_codex":[0.9993749,0.0002388038,0.0000418188,0.00005404725,0.0001254098,0.0001650216],"domain_scores_gemma":[0.9978175,0.0006999677,0.0003936941,0.00006932606,0.0007332601,0.0002862116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001140421,0.00008515162,0.1104902,0.001928679,0.0001742299,0.0003894778,0.006185043,0.001377806,0.0003766073,0.1115065,0.6302829,0.1370894],"study_design_scores_gemma":[0.00006138025,0.00003223899,0.2570127,0.003226045,0.0001672541,0.0001323625,0.02457844,0.001002445,0.0003896994,0.02035696,0.6929817,0.00005888408],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1275054,0.17684,0.002583288,0.2623712,0.0009656547,0.0002797143,0.1251297,0.0003049062,0.3040203],"genre_scores_gemma":[0.7149704,0.1837686,0.005573531,0.01089136,0.0004899065,0.001193019,0.0403034,0.0003737647,0.04243594],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.341148,"threshold_uncertainty_score":0.6783245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07342373387572548,"score_gpt":0.2986425181364743,"score_spread":0.2252187842607488,"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."}}