{"id":"W6939531364","doi":"10.6068/dp14ba87b35625","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Integration of Newcomers | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, country of birth, sex and age group | Variable: 25 to 54 years, Total population, Labour force, Males, Landed immigrants | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-093.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Official statistics; Socioeconomic status; Census; Population; Economic statistics; Ethnic group; Citizenship; Diversity (politics); Population 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":[0.002800806,0.002439134,0.002751878,0.008515183,0.003804172,0.004843812,0.00566871,0.001375092,0.07677322],"category_scores_gemma":[0.02033504,0.001853247,0.002447927,0.03726488,0.000662656,0.002213771,0.002716146,0.002979017,0.0372351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05932292,"about_ca_system_score_gemma":0.1545317,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9966406,"about_ca_topic_score_gemma":0.9955715,"domain_scores_codex":[0.9953838,0.0003471915,0.0005441557,0.0005152896,0.002074749,0.001134843],"domain_scores_gemma":[0.9656428,0.001269667,0.001078967,0.001047912,0.02903469,0.001926028],"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":[0.00002980081,0.00000800335,0.001591966,0.0002916395,0.00002899966,0.000007809799,0.00003929136,0.0001041963,0.00001160132,0.0003974219,0.9953727,0.002116632],"study_design_scores_gemma":[0.0002348258,0.00002013951,0.04660647,0.001379944,0.0001203896,0.00003968507,0.0009052471,0.0006372037,0.0002328494,0.0008273555,0.9488611,0.0001347883],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008454709,0.00006283096,0.00003198761,0.0001515124,0.00003599741,0.0000245128,0.9986827,0.00006168797,0.000864305],"genre_scores_gemma":[0.001310561,0.0004002734,0.000636345,0.0002283871,0.00002451805,0.0002350426,0.9918581,0.0001335755,0.005173231],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07677322,"threshold_uncertainty_score":0.4304199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02163215970939555,"score_gpt":0.2456282622781362,"score_spread":0.2239961025687406,"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."}}