{"id":"W6901322928","doi":"10.6068/dp14ba8b89ff072","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Immigrants and Nonpermanent Residents | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, sex and detailed age group | Variable: 15 to 24 years, Labour force, Females, Immigrants, landed 5 or less years earlier | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-092.","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; Census; Population; Socioeconomic status; Official statistics; Population statistics; Diversity (politics); Ethnic group; Current Population Survey","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":[0.002719873,0.002440334,0.002860371,0.007678762,0.00333548,0.004834048,0.005438393,0.001398913,0.09582299],"category_scores_gemma":[0.01989165,0.002061179,0.002259903,0.03651892,0.0006016636,0.002457869,0.002403401,0.003384153,0.04980189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05189995,"about_ca_system_score_gemma":0.1404804,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947608,"about_ca_topic_score_gemma":0.9925697,"domain_scores_codex":[0.9953756,0.0003507797,0.0005564482,0.0005687958,0.002064986,0.001083279],"domain_scores_gemma":[0.9648629,0.001279797,0.001096224,0.0009984672,0.0299234,0.001839151],"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":[0.00003171351,0.000008606228,0.001263585,0.0002549568,0.00002267926,0.000006751396,0.00002805527,0.00008921899,0.000009749847,0.0003087747,0.9959785,0.001997465],"study_design_scores_gemma":[0.0002670818,0.00002148681,0.04305403,0.001413812,0.0001048516,0.00003796553,0.000707016,0.0005406826,0.0002023152,0.000806057,0.952733,0.0001118634],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007410492,0.00005683101,0.000030725,0.0001451613,0.0000406843,0.00002615714,0.9985385,0.00006168988,0.001026152],"genre_scores_gemma":[0.001061512,0.0003852143,0.0005414773,0.0002345161,0.00002728209,0.0002280684,0.9910919,0.0001501378,0.006279776],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09582299,"threshold_uncertainty_score":0.3765623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03204882034809016,"score_gpt":0.2544008850215788,"score_spread":0.2223520646734887,"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."}}