{"id":"W6976903008","doi":"10.6068/dp15b83fb87d879","title":"TREND: Organisation for Economic Co-operation and Development (OECD). OECD Factbook 2014: Economic, Environmental and Social Statistics: Population and Migration - Immigrant and Foreign Population | Country: United States | Socioeconomic Indicator: Foreign Population, 1995 - 2011. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 062-001-054","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"Crystallography and Radiation Phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Immigration; Socioeconomic status; Nationality; Foreign national; Socioeconomic development; Foreign born","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003484481,0.0005039975,0.0005647109,0.0002248451,0.000680201,0.0004953833,0.0002720556,0.0002670155,0.01417201],"category_scores_gemma":[1.654385e-7,0.000535296,0.000002269226,4.89465e-7,0.0001823263,0.0008196876,0.0001856363,0.0001701095,0.0009731625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001220947,"about_ca_system_score_gemma":0.00005403387,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1009406,"about_ca_topic_score_gemma":0.008710228,"domain_scores_codex":[0.9977925,0.0001156241,0.0007004028,0.0009375787,0.0001402325,0.0003136015],"domain_scores_gemma":[0.9980534,0.0001768883,0.001023028,0.0005847025,7.506628e-7,0.0001612484],"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":[0.00006763429,0.00004418747,0.01300794,0.0001470139,0.0003011361,6.860443e-7,0.00006610071,0.00002616355,0.00000604783,0.001901776,0.9819031,0.002528239],"study_design_scores_gemma":[0.001487,0.00005815028,0.0103714,0.000001781346,0.0002512764,0.000007120944,0.0003134715,0.01061937,1.770669e-7,0.00009728725,0.9761833,0.0006096847],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001123515,0.0004036,0.0002145818,0.000007755413,0.0001058489,0.0011134,0.9969543,0.00003552796,0.00004151122],"genre_scores_gemma":[0.03577741,0.0005876845,0.0004257768,0.00003928754,0.00032785,0.00004071464,0.9626593,0.0001130382,0.00002894247],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09223036,"threshold_uncertainty_score":0.9998047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009179052645016093,"score_gpt":0.2352845435529178,"score_spread":0.2261054909079017,"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."}}