{"id":"W4400637520","doi":"10.1787/agr_outlook-2017-graph48-en","title":"Past and projected GDP per capita growth in Southeast Asia","year":2017,"lang":"en","type":"other","venue":"OECD agricultural outlook .../OECD-FAO agricultural outlook","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada; Chinese Academy of Agricultural Sciences; Economic Research Service; European Commission; U.S. Environmental Protection Agency","keywords":"Per capita; Southeast asia; Gross domestic product; Real gross domestic product; Economics; Geography; Environmental science; Agricultural economics; Econometrics; Demography; Economic growth; Ancient history; History; Sociology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0005879306,0.002074581,0.003068336,0.0006645424,0.0006219044,0.001030207,0.001614562,0.00168351,0.002698433],"category_scores_gemma":[0.00009261105,0.001383952,0.0008778512,0.0002271395,0.0004336107,0.0007994273,0.0006436546,0.001375539,0.01354614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004982111,"about_ca_system_score_gemma":0.00007253291,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01056388,"about_ca_topic_score_gemma":0.006107809,"domain_scores_codex":[0.9933071,0.0001910306,0.001788304,0.002285369,0.0003979871,0.002030172],"domain_scores_gemma":[0.9958606,0.00008015028,0.002279655,0.0009670402,0.0001887237,0.000623853],"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":[0.0000360223,0.0003568141,0.01629652,0.0004589979,0.0004540341,0.00007716523,0.001755484,0.000003552542,0.0004296324,0.06814522,0.910931,0.001055582],"study_design_scores_gemma":[0.001708736,0.0002039082,0.3858986,0.0004102844,0.0001327202,0.0001391319,0.002065775,0.000003680832,0.00006713905,0.000600727,0.6059664,0.002802791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04020806,0.01488013,0.000005744305,0.002922472,0.002316744,0.002792012,0.004170185,0.0005728496,0.9321318],"genre_scores_gemma":[0.2504273,0.002944708,0.0003513082,0.0002612261,0.004257839,0.0003604111,0.001597648,0.0004475539,0.739352],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3696021,"threshold_uncertainty_score":0.9996125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01265415991140831,"score_gpt":0.2007679000173752,"score_spread":0.1881137401059669,"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."}}