{"id":"W6939108233","doi":"10.6068/dp14ba8c8859858","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, educational attainment, sex and age group | Variable: 15 years and over, Employment, Total, all education levels, Both sexes, Landed immigrants | 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; Socioeconomic status; Population; Official statistics; Ethnic group; Population statistics; Diversity (politics); American Community 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002687722,0.002373754,0.0028198,0.007426225,0.003277349,0.004639533,0.005370533,0.001363024,0.08656629],"category_scores_gemma":[0.01871112,0.002013312,0.002279741,0.0349273,0.0005895427,0.002368598,0.002311702,0.003344013,0.04422682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05327269,"about_ca_system_score_gemma":0.1455854,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995171,"about_ca_topic_score_gemma":0.9929935,"domain_scores_codex":[0.9955005,0.0003306021,0.0005536,0.0005379504,0.002034904,0.00104242],"domain_scores_gemma":[0.965123,0.001160614,0.001048402,0.0008951573,0.03006695,0.001705915],"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":[0.0000352501,0.000009627703,0.001484961,0.0002915854,0.00002621062,0.000007796632,0.00002950376,0.00009934706,0.00001156541,0.0003265172,0.9953809,0.002296684],"study_design_scores_gemma":[0.0002881302,0.00002309703,0.04944437,0.001536552,0.0001255722,0.00004219195,0.0007461541,0.0005838228,0.0002255582,0.0008112081,0.9460566,0.0001168197],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008709023,0.00007080905,0.00003277334,0.0001660159,0.00004643598,0.00002882792,0.9984165,0.00006185678,0.001089625],"genre_scores_gemma":[0.001260847,0.0004736478,0.0006127834,0.0002837826,0.00003080157,0.0002445862,0.9899535,0.000152951,0.006987063],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9134337,"threshold_uncertainty_score":0.3865222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02906812384247894,"score_gpt":0.2709417196994221,"score_spread":0.2418735958569432,"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."}}