{"id":"W2797663909","doi":"10.17722/ijme.v10i3.979","title":"Population Pyramid And Economic Growth: An Econometric analysis of Sri Lanka","year":2018,"lang":"en","type":"article","venue":"International Journal of Management Excellence","topic":"Global Health and Epidemiology","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Population growth; Population; Granger causality; Sri lanka; Context (archaeology); Consumption (sociology); Real gross domestic product; Development economics; Macroeconomics; Econometrics; Socioeconomics; Geography; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0008824911,0.0003484391,0.0004592474,0.001372376,0.0006237018,0.001446984,0.0004959666,0.0004670815,0.003366829],"category_scores_gemma":[0.002318389,0.0003912421,0.001640476,0.00206622,0.0005650791,0.0007404548,0.001001757,0.001322696,0.0004822853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002293347,"about_ca_system_score_gemma":0.001506611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.154129,"about_ca_topic_score_gemma":0.0823011,"domain_scores_codex":[0.9995224,0.0001885279,0.00002658699,0.000058821,0.00005348445,0.0001500977],"domain_scores_gemma":[0.9989045,0.0006977527,0.000116733,0.00004983034,0.0001562061,0.00007502826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003475175,0.0005025606,0.7835528,0.0002236084,0.001285746,0.003402241,0.00219684,0.1559903,0.001456545,0.0208533,0.003880132,0.02630848],"study_design_scores_gemma":[0.00005246765,0.000440504,0.6516014,0.00008447302,0.0006087459,0.0003067735,0.007672294,0.3303868,0.0005081693,0.00307158,0.005163193,0.0001036653],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992596,0.0002741554,0.001491093,0.0005134234,0.000009340519,0.00003478101,0.0005245254,0.00003542106,0.004521429],"genre_scores_gemma":[0.9974221,0.000304739,0.0005619079,0.00002867462,0.00000953575,0.00002092294,0.0004562678,0.000005784249,0.001190149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.154129,"threshold_uncertainty_score":0.3064638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05331975342730114,"score_gpt":0.4489220634401516,"score_spread":0.3956023100128505,"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."}}