{"id":"W6920326588","doi":"10.6068/dp153f879cdcf29","title":"Trend 1995 - 2012. Organisation for Economic Co-operation and Development (OECD). OECD Factbook 2014: Economic, Environmental and Social Statistics: Population and Migration - Population by Region | Country: China | Socioeconomic Indicator: Share of National Population in the Ten Percent of Regions with the Largest Population, 1995-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 062-001-057.","year":2016,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Socioeconomic status; China; Metropolitan area; Census; Socioeconomic development; Population growth; Rural area","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":[0.001708621,0.002042344,0.001901116,0.00581852,0.00076977,0.00361656,0.00283312,0.001448396,0.06990548],"category_scores_gemma":[0.01363476,0.001298881,0.00141122,0.02203725,0.0003331876,0.003486264,0.002001368,0.002930317,0.09650239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003374755,"about_ca_system_score_gemma":0.007037066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1845312,"about_ca_topic_score_gemma":0.1161921,"domain_scores_codex":[0.9978115,0.0002669851,0.0003917571,0.0004110945,0.0007298045,0.0003889122],"domain_scores_gemma":[0.993201,0.0007697459,0.000718254,0.0005121306,0.004458467,0.0003405603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002147837,0.000008369172,0.0007647799,0.0002669474,0.00001617333,0.000007084646,0.0000113974,0.00008317893,0.00001373687,0.00030974,0.9970419,0.00145534],"study_design_scores_gemma":[0.0001593544,0.00001476238,0.01405902,0.0007306013,0.00003862814,0.00002583415,0.0001955411,0.000212001,0.0001400944,0.0007958924,0.9835917,0.00003653219],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004133913,0.00003200188,0.00002085863,0.00006359791,0.00003096926,0.000008695543,0.9992531,0.00004100183,0.0005084267],"genre_scores_gemma":[0.0002779281,0.00009794819,0.0001558279,0.00005176221,0.00001412518,0.0001108366,0.9979837,0.00004898631,0.001258782],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1845312,"threshold_uncertainty_score":0.3669141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01944114887626734,"score_gpt":0.2613210375191016,"score_spread":0.2418798886428342,"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."}}