{"id":"W6901538037","doi":"10.6068/dp14ba8ddff6328","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, Not in labour force, University degree, Both sexes, 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; Socioeconomic status; Census; Statistics education; Population; Ethnic group; Economic statistics; Citizenship; Diversity (politics)","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":[0.002728087,0.002446546,0.002982103,0.007852385,0.003733964,0.004808945,0.005654978,0.001393275,0.07647441],"category_scores_gemma":[0.01827827,0.001986475,0.002546235,0.03630518,0.0006971124,0.002307339,0.002570322,0.003284261,0.03840638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06143058,"about_ca_system_score_gemma":0.1610317,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9969664,"about_ca_topic_score_gemma":0.9957286,"domain_scores_codex":[0.9951777,0.0003462871,0.0005324447,0.0005372189,0.002214089,0.001192251],"domain_scores_gemma":[0.9640075,0.001179707,0.001093365,0.0009752149,0.03083905,0.001905186],"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":[0.00003442967,0.00001002038,0.001964436,0.0002765135,0.0000300874,0.000007910674,0.00003830187,0.0001113765,0.00001171811,0.0003521496,0.9951915,0.001971466],"study_design_scores_gemma":[0.0002826878,0.00002501545,0.05887816,0.001246028,0.0001221659,0.00004155874,0.001022549,0.0006917525,0.0002550204,0.0007210321,0.9365749,0.0001391727],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00010636,0.00006472481,0.00003137287,0.0001682397,0.00004485555,0.00002442765,0.9985465,0.00006014203,0.0009531826],"genre_scores_gemma":[0.00150231,0.0003907774,0.0005496707,0.0002495052,0.00002871113,0.0002199075,0.9903173,0.0001325833,0.00660917],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9235256,"threshold_uncertainty_score":0.4457121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02582718589820323,"score_gpt":0.2485372130985879,"score_spread":0.2227100272003847,"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."}}