{"id":"W6939015578","doi":"10.6068/dp14ba8dcd3066","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Labor Market and Income | 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: 075-001-094.","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; Unemployment; Census; Official statistics; Socioeconomic status; Descriptive statistics; Population; Ethnic group; 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":[],"consensus_categories":[],"category_scores_codex":[0.00266485,0.002573397,0.003057917,0.007807347,0.003380929,0.004781188,0.005739241,0.001473845,0.08510337],"category_scores_gemma":[0.01852529,0.001997579,0.002553199,0.03763565,0.0006095227,0.002300986,0.002461998,0.003393661,0.04590968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05477763,"about_ca_system_score_gemma":0.1452437,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956422,"about_ca_topic_score_gemma":0.9941915,"domain_scores_codex":[0.9953181,0.0003408476,0.0005405541,0.0005542272,0.002134856,0.001111386],"domain_scores_gemma":[0.9638005,0.001176923,0.001107171,0.000972789,0.03112214,0.001820604],"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":[0.00003500281,0.000009457785,0.001551202,0.0002799267,0.00002918114,0.000007582213,0.00002830186,0.0001084401,0.00001110674,0.000327842,0.9956493,0.001962785],"study_design_scores_gemma":[0.0002690999,0.00002210984,0.04730833,0.001325643,0.0001178327,0.00003788698,0.0007016591,0.000596518,0.0002276434,0.0007929171,0.9484761,0.0001242507],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007798363,0.00005881289,0.00002790785,0.000142843,0.00003859067,0.0000226631,0.9986756,0.0000559709,0.0008996166],"genre_scores_gemma":[0.001103633,0.0003411324,0.0004959349,0.0002399516,0.00002674408,0.0001978535,0.9917877,0.0001303294,0.005676633],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08510337,"threshold_uncertainty_score":0.3974413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01826317840022876,"score_gpt":0.2374393612002025,"score_spread":0.2191761827999737,"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."}}