{"id":"W6939088123","doi":"10.6068/dp16e71edf71c12","title":"TREND: United Nations High Commissioner for Refugees. UNHCR Population Statistics: Refugees (incl. refugee-like situations) | Country: Canada, United States | Country of Origin: * All, 1951 - 2050. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 079-001-001 United States Census Bureau. International Population Statistics Database: Population - Total | Country: Canada, United States | Age Group: All Ages, 1951 - 2050. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 001-036-001","year":2019,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Population; Convention; Mandate; Internally displaced person; Official statistics","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":[0.001861776,0.001461339,0.001752784,0.004951675,0.001543316,0.003536575,0.003636956,0.001300175,0.1731106],"category_scores_gemma":[0.01964317,0.001421712,0.001155889,0.02008349,0.0004463416,0.003251105,0.002476338,0.002925828,0.1086366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005857683,"about_ca_system_score_gemma":0.02090491,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5972874,"about_ca_topic_score_gemma":0.563333,"domain_scores_codex":[0.9980988,0.0001876766,0.000378883,0.000369819,0.0006142235,0.0003507174],"domain_scores_gemma":[0.9825644,0.001501806,0.001151178,0.00122792,0.01243627,0.001118482],"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":[0.00001044323,0.000003058266,0.0003162745,0.0001377491,0.000004725108,0.000003214573,0.00001109627,0.00002369258,0.000004750741,0.0001547913,0.9983361,0.0009940981],"study_design_scores_gemma":[0.000144812,0.00001054574,0.01056777,0.001058691,0.00002656579,0.00002209947,0.0003485684,0.0001262356,0.00008717168,0.0005289306,0.9870362,0.00004254904],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002545479,0.00001933331,0.00002301221,0.00008340423,0.00004502261,0.00002686951,0.9988819,0.00004418553,0.0008507625],"genre_scores_gemma":[0.0003280003,0.0001506674,0.0002712556,0.0001293351,0.00002797254,0.000363333,0.9959534,0.00009831923,0.00267765],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4027126,"threshold_uncertainty_score":0.8101686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02670283560997608,"score_gpt":0.2933910815158229,"score_spread":0.2666882459058468,"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."}}