{"id":"W6957843376","doi":"10.6068/dp14ba8e5f01454","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, educational attainment, sex and age group | Variable: 15 years and over, Unemployment, Post-secondary certificate or diploma, Females, Immigrants, landed 5 or less 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; Socioeconomic status; Official statistics; Census; Statistics education; Population; Economic statistics; Social statistics; Ethnic group; Citizenship","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":[0.002776699,0.002553971,0.002981299,0.00774922,0.003446225,0.00466296,0.005776606,0.001402767,0.08521662],"category_scores_gemma":[0.01856447,0.002018598,0.002628363,0.03525989,0.0006428736,0.002335816,0.002612096,0.003279976,0.04336875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05207352,"about_ca_system_score_gemma":0.1384135,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960525,"about_ca_topic_score_gemma":0.994722,"domain_scores_codex":[0.9954614,0.0003415926,0.000514965,0.0005150468,0.002051836,0.001115033],"domain_scores_gemma":[0.9654241,0.001150487,0.001065618,0.001026717,0.02948718,0.001845933],"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":[0.00003677037,0.00001004015,0.001779558,0.0002935653,0.0000300614,0.000007339563,0.00003494987,0.0001086015,0.00001153329,0.0002957673,0.9954301,0.001961651],"study_design_scores_gemma":[0.0003181639,0.00002602047,0.05825053,0.001358213,0.0001278839,0.00004027412,0.0008957256,0.0006681054,0.0002403877,0.0007218836,0.9372191,0.0001336598],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009088966,0.00005672638,0.00002825723,0.0001337705,0.00003973691,0.00002346153,0.9987279,0.00005875418,0.0008404706],"genre_scores_gemma":[0.001181096,0.000314616,0.0004672444,0.0001986779,0.00002530231,0.0002077039,0.9920134,0.0001244473,0.005467595],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08521662,"threshold_uncertainty_score":0.3778216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05725416802350027,"score_gpt":0.2800487574112642,"score_spread":0.2227945893877639,"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."}}