{"id":"W6901667660","doi":"10.6068/dp161431ab61347","title":"MAP: Organisation for Economic Co-operation and Development (OECD). OECD Factbook 2014: Economic, Environmental and Social Statistics: Population and Migration - Immigrant and Foreign Population | Socioeconomic Indicator: Foreign Population, 2011. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 062-001-054","year":2018,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Immigration; Socioeconomic status; Nationality; Foreign national; Socioeconomic development; Foreign born; Country of origin","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00189429,0.00225307,0.002371128,0.00805433,0.0009631894,0.004284364,0.00338117,0.001853153,0.1315508],"category_scores_gemma":[0.01756823,0.001067938,0.001655849,0.02507781,0.0004873022,0.004061874,0.002599868,0.003720604,0.1552659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003075447,"about_ca_system_score_gemma":0.007431495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08565257,"about_ca_topic_score_gemma":0.04576876,"domain_scores_codex":[0.9972006,0.0004162589,0.0004438139,0.0005952822,0.0008708082,0.0004733425],"domain_scores_gemma":[0.9895391,0.001628995,0.001020968,0.0009266414,0.006414616,0.0004695755],"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":[0.00001866092,0.00000962692,0.0003105568,0.000359444,0.00001520933,0.000007896641,0.00001117989,0.00008854854,0.00001386017,0.0004452211,0.9969358,0.001783927],"study_design_scores_gemma":[0.00008975412,0.000009030038,0.004295904,0.0006821901,0.0000280836,0.00001829571,0.0001479601,0.0001811657,0.00009362754,0.001069888,0.9933523,0.00003176474],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002997753,0.00005304629,0.00004323212,0.0001121661,0.00004772821,0.00001557453,0.9986463,0.0000907314,0.0009612751],"genre_scores_gemma":[0.0002619696,0.0002078918,0.0003465582,0.00008736921,0.00002213181,0.0001923925,0.997396,0.0001023416,0.001383293],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8684492,"threshold_uncertainty_score":0.4400814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01447685124958962,"score_gpt":0.2511156073749929,"score_spread":0.2366387561254033,"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."}}