{"id":"W6920302284","doi":"10.6068/dp14ba89a5ec579","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, sex and detailed age group | Variable: 15 to 24 years, Population, Females, Immigrants, landed more than 10 years earlier | 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; Census; Socioeconomic status; Economic statistics; Population; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002950429,0.002464321,0.002830456,0.008590049,0.00384417,0.004800235,0.00580396,0.001414239,0.08270063],"category_scores_gemma":[0.02082914,0.001934778,0.002467772,0.03810812,0.000668086,0.002323725,0.002675904,0.00312079,0.03973572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06146779,"about_ca_system_score_gemma":0.1649354,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9966294,"about_ca_topic_score_gemma":0.9954478,"domain_scores_codex":[0.9949129,0.0003739375,0.00059732,0.0005494121,0.002352186,0.001214296],"domain_scores_gemma":[0.9618056,0.001370233,0.001149836,0.001094476,0.03254014,0.002039647],"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":[0.00003018525,0.000008538665,0.001584749,0.0002941898,0.0000283003,0.000007599284,0.00003775712,0.0001055619,0.00001150865,0.0004010429,0.9953039,0.002186671],"study_design_scores_gemma":[0.000234065,0.00002087319,0.04684657,0.001385185,0.0001164839,0.00003786371,0.0009074516,0.0006370243,0.0002333531,0.0008157731,0.9486312,0.0001342842],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008585554,0.00006469341,0.00003403146,0.0001587203,0.00003991222,0.00002672979,0.9985421,0.00006263553,0.0009853173],"genre_scores_gemma":[0.001388586,0.0004360306,0.0006798249,0.0002505553,0.00002690878,0.0002527247,0.9907874,0.0001469633,0.00603093],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9172994,"threshold_uncertainty_score":0.4459822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03130635424284794,"score_gpt":0.2552692489721034,"score_spread":0.2239628947292555,"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."}}