{"id":"W6958140631","doi":"10.6068/dp14ba8d0f47e50","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, country of birth, sex and age group | Variable: 15 years and over, Total population, Not in labour force, Males, 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; Official statistics; Socioeconomic status; Census; Population; Economic statistics; Ethnic group; Citizenship; Diversity (politics); Population statistics","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":[0.002787509,0.002445553,0.002956599,0.007776076,0.003679038,0.004708719,0.00563936,0.001351565,0.07540162],"category_scores_gemma":[0.01836238,0.001965265,0.002550703,0.03566182,0.0006925249,0.002284082,0.002534366,0.003251538,0.03788662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06236913,"about_ca_system_score_gemma":0.1625803,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9969621,"about_ca_topic_score_gemma":0.9956914,"domain_scores_codex":[0.9951304,0.0003577882,0.0005355914,0.00053454,0.002244169,0.001197429],"domain_scores_gemma":[0.9633132,0.001178314,0.001088415,0.0009692013,0.031535,0.00191596],"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":[0.00003487323,0.000009987222,0.001926034,0.0002787812,0.00003025877,0.000008004397,0.00003779793,0.0001102658,0.00001184192,0.0003561657,0.9951615,0.002034488],"study_design_scores_gemma":[0.0002803534,0.00002530574,0.05895455,0.001283592,0.000123909,0.0000422781,0.001006042,0.000690659,0.0002570581,0.0007295995,0.9364668,0.000139942],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000109005,0.0000684892,0.00003274851,0.0001773749,0.00004621809,0.00002601082,0.998471,0.00006212928,0.001007064],"genre_scores_gemma":[0.001555881,0.0004136311,0.0005970471,0.0002645502,0.00002954649,0.0002373058,0.9897975,0.0001389206,0.006965625],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07540162,"threshold_uncertainty_score":0.4525219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02532965645964586,"score_gpt":0.2484664915655622,"score_spread":0.2231368351059164,"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."}}