{"id":"W6976890137","doi":"10.6068/dp157910c088a11","title":"TREND: Organisation for Economic Co-operation and Development (OECD). OECD Factbook 2014: Economic, Environmental and Social Statistics: Population and Migration - Dependent Population | Country: India | Socioeconomic Indicator: Youth Population (Aged Less Than 15), 1950 - 2050. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 062-001-052","year":2016,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Socioeconomic status; Residence; Socioeconomic development; Population growth; Social policy; Population ageing; Developing country","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":[0.002189737,0.001812754,0.002064392,0.006420438,0.0008723863,0.003957548,0.002825059,0.001445786,0.08601734],"category_scores_gemma":[0.01653325,0.001088688,0.001568472,0.02333733,0.0004442389,0.003551523,0.002225225,0.003716657,0.1052854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002631715,"about_ca_system_score_gemma":0.008335357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09069527,"about_ca_topic_score_gemma":0.05472734,"domain_scores_codex":[0.9970633,0.0004383218,0.000516234,0.000561851,0.0009327453,0.0004876388],"domain_scores_gemma":[0.9894364,0.001420801,0.001159768,0.001002993,0.006501608,0.0004784252],"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":[0.00002532569,0.000008989255,0.0005502061,0.0003458824,0.00002035373,0.000007655859,0.00001365196,0.00007668899,0.00001820512,0.0004577934,0.9964905,0.001984647],"study_design_scores_gemma":[0.0001002439,0.00001110255,0.005819607,0.0008025824,0.00003943539,0.00001878925,0.0001422453,0.0001550023,0.0001045225,0.0008015501,0.9919752,0.0000296417],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00004436252,0.00005412582,0.00005251,0.0001148756,0.00006060562,0.00001908065,0.9987339,0.00007356409,0.0008469147],"genre_scores_gemma":[0.0002526504,0.0001873621,0.0002996558,0.00008311695,0.00002191412,0.0001878486,0.9974502,0.00009271649,0.001424539],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09069527,"threshold_uncertainty_score":0.2877567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01660850130778398,"score_gpt":0.2567714282291206,"score_spread":0.2401629269213366,"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."}}