{"id":"W7006934443","doi":"","title":"WORLD POPULATION IN 2050: ASSESSING THE PROJECTIONS","year":2011,"lang":"en","type":"article","venue":"","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dependency ratio; Population; Projections of population growth; Quarter (Canadian coin); Population projection; World population","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":[0.003357843,0.001752771,0.00048283,0.003692814,0.0006473322,0.002272168,0.0009853471,0.001168381,0.005127921],"category_scores_gemma":[0.009480208,0.0003040528,0.001115958,0.003981701,0.0003418736,0.004765298,0.001735071,0.001514779,0.002044802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003074545,"about_ca_system_score_gemma":0.003126177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02840125,"about_ca_topic_score_gemma":0.02305086,"domain_scores_codex":[0.9988293,0.0004889015,0.00008546087,0.00008026108,0.0004193397,0.00009671949],"domain_scores_gemma":[0.9981957,0.0003985185,0.00018809,0.00005405184,0.001022315,0.0001413079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000366459,0.0001362799,0.05261239,0.003686523,0.0003966972,0.0008086875,0.0008460545,0.1290604,0.0005425586,0.09028655,0.2441015,0.477156],"study_design_scores_gemma":[0.00006417471,0.0008041037,0.07865854,0.006400547,0.0005014993,0.001504532,0.011886,0.1552965,0.001626132,0.1410618,0.6017904,0.0004056932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1870719,0.1896217,0.1189313,0.1044682,0.01397439,0.001066305,0.1057139,0.002904562,0.2762478],"genre_scores_gemma":[0.6608301,0.1741649,0.1023278,0.004606127,0.001651995,0.001753318,0.04578643,0.0003095026,0.008569949],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02840125,"threshold_uncertainty_score":0.05647188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08668983263663514,"score_gpt":0.3723575507513371,"score_spread":0.285667718114702,"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."}}