{"id":"W6939050584","doi":"10.6068/dp15555b887233","title":"Ranking of Countries (2012). Organisation for Economic Co-operation and Development (OECD). OECD Factbook 2014: Economic, Environmental and Social Statistics: Population and Migration - Elderly Population by Region | Socioeconomic Indicator: Elderly Population, 2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 062-001-053.","year":2016,"lang":"en","type":"other","venue":"Data Planet","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dependency ratio; Population; Socioeconomic status; Ranking (information retrieval); Socioeconomic development; Demographic statistics; Population growth; International comparisons; Population ageing","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":[0.002248059,0.003253883,0.003257002,0.009933881,0.0008948462,0.005014296,0.002826368,0.001434018,0.09817376],"category_scores_gemma":[0.01422039,0.001335326,0.001866953,0.04359511,0.0004695775,0.003846801,0.002506865,0.003500728,0.1525503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003163313,"about_ca_system_score_gemma":0.007540872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08958598,"about_ca_topic_score_gemma":0.04852941,"domain_scores_codex":[0.9959669,0.0005445352,0.0008490199,0.0007521845,0.001326967,0.0005604036],"domain_scores_gemma":[0.9895033,0.00120061,0.001066394,0.0007658387,0.007041464,0.0004224685],"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":[0.00002315775,0.000009745903,0.000500585,0.0005957111,0.00002133107,0.000009770815,0.00001311057,0.0001064946,0.00001906753,0.0006306384,0.9953288,0.002741639],"study_design_scores_gemma":[0.00009386293,0.00001474988,0.008226268,0.0009510032,0.00003436768,0.00002553132,0.0001703177,0.000112857,0.00008888729,0.0007496494,0.9895012,0.0000312756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005404896,0.0001428693,0.00004281602,0.00009686384,0.0000814166,0.00001789613,0.9978713,0.00007544245,0.001617362],"genre_scores_gemma":[0.000461295,0.0005111773,0.0004350585,0.00008688997,0.00002862705,0.000183951,0.9960409,0.0001151932,0.002136861],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09817376,"threshold_uncertainty_score":0.328424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01610821187905529,"score_gpt":0.2685120087416007,"score_spread":0.2524037968625454,"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."}}