{"id":"W4360612650","doi":"10.1553/p-g5fe-hafz","title":"How much would reduced emigration mitigate ageing in Norway?","year":2023,"lang":"en","type":"article","venue":"Vienna Yearbook of Population Research","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emigration; Ageing; Fertility; Population ageing; Immigration; Population; Dependency ratio; Demography; Quarter (Canadian coin); Demographic economics; Geography; Economics; Medicine; Sociology","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":[0.003931697,0.0002714402,0.0003857509,0.0002329543,0.0002971721,0.0007069167,0.0006167238,0.0005123328,0.002714425],"category_scores_gemma":[0.009079608,0.0001070427,0.0007919408,0.0002446267,0.0004041082,0.0007164335,0.0008457792,0.0004311216,0.0002865233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001320255,"about_ca_system_score_gemma":0.002920964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05330296,"about_ca_topic_score_gemma":0.06815844,"domain_scores_codex":[0.9990339,0.0006102491,0.00003214387,0.00009583482,0.00006381267,0.0001640448],"domain_scores_gemma":[0.9987973,0.0005543681,0.0002348762,0.00008130562,0.0001594835,0.0001726206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004920213,0.0009992855,0.4718104,0.003043785,0.001530468,0.001003963,0.002411493,0.1348346,0.003369662,0.04588032,0.0316954,0.2985004],"study_design_scores_gemma":[0.0008612032,0.006031803,0.8079178,0.002087973,0.001535301,0.0003883923,0.006044754,0.06570914,0.003417802,0.02649876,0.07935525,0.0001518502],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9566237,0.004320014,0.00619671,0.01298219,0.0009541448,0.00009312019,0.003568993,0.0001024519,0.01515868],"genre_scores_gemma":[0.9932475,0.001222047,0.002538661,0.0009743001,0.00007992971,0.00004881748,0.0006208752,0.00001400668,0.00125391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05330296,"threshold_uncertainty_score":0.1059854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1236763180833068,"score_gpt":0.428753951096496,"score_spread":0.3050776330131892,"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."}}