{"id":"W6920545671","doi":"10.6068/dp17087a2cc4139","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: Canada | Socioeconomic Indicator: Foreign-Born Population, 1995 - 2011. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 062-001-054","year":2020,"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; Socioeconomic development; Foreign national; Foreign born; Social policy","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":[0.002599982,0.002037766,0.002806325,0.00997867,0.001460272,0.005511255,0.003900136,0.001715027,0.07554432],"category_scores_gemma":[0.0225337,0.001323821,0.001735322,0.03850893,0.0006694991,0.003625904,0.002476352,0.004556836,0.07934343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008288964,"about_ca_system_score_gemma":0.03454888,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5984268,"about_ca_topic_score_gemma":0.4649109,"domain_scores_codex":[0.9956085,0.0004402493,0.0006565572,0.0007391296,0.001712239,0.0008432387],"domain_scores_gemma":[0.977707,0.001840115,0.001568671,0.001551828,0.01634255,0.0009897825],"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":[0.00001885553,0.000006582003,0.0004182294,0.00025411,0.0000158388,0.000006057932,0.00001200907,0.00006010522,0.000009907715,0.0003471743,0.997378,0.001473163],"study_design_scores_gemma":[0.00009853543,0.000007688102,0.006824881,0.0009759149,0.00004482226,0.00001606727,0.0001790469,0.0001720518,0.0001002657,0.0006335059,0.9909059,0.00004128098],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002903482,0.00005547127,0.0000329676,0.0001141294,0.00005288953,0.00001831357,0.9989117,0.00006276787,0.0007227494],"genre_scores_gemma":[0.0002243404,0.0002778635,0.0002740732,0.00007532113,0.00002180228,0.0001643935,0.9972627,0.00009911942,0.001600502],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4015732,"threshold_uncertainty_score":0.8078762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01378825437659754,"score_gpt":0.2301225541182269,"score_spread":0.2163342997416293,"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."}}