{"id":"W6901452920","doi":"10.6068/dp14ba8e9ceae75","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: 25 to 54 years, Labour force, High school graduate, Both sexes, Immigrants, landed more than 5 to 10 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; Socioeconomic status; Population; Ethnic group; Official statistics; Diversity (politics); Population statistics; Place of birth","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":[0.002532593,0.002358611,0.00288078,0.007493479,0.003316301,0.004502454,0.005262689,0.001348323,0.08133118],"category_scores_gemma":[0.01771042,0.00199962,0.002348045,0.03472123,0.0006009893,0.002310235,0.002220299,0.003339769,0.03963931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0560218,"about_ca_system_score_gemma":0.1547103,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960369,"about_ca_topic_score_gemma":0.9942777,"domain_scores_codex":[0.9956125,0.0003060975,0.0005209859,0.0005247772,0.002000992,0.00103447],"domain_scores_gemma":[0.965367,0.001069078,0.001030897,0.0008166732,0.02995853,0.001757833],"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":[0.00004049052,0.00001073631,0.001831026,0.0003230343,0.00002994749,0.000008366759,0.00003379872,0.0001097727,0.00001278426,0.0003438122,0.9946929,0.002563319],"study_design_scores_gemma":[0.0002966165,0.00002646347,0.05993039,0.001498289,0.0001377729,0.0000447651,0.0008140552,0.0006135384,0.0002391082,0.0007853212,0.9354903,0.0001233717],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001081454,0.00008267077,0.00003665957,0.0001838632,0.00005153456,0.00003264826,0.9982142,0.00006910511,0.00122114],"genre_scores_gemma":[0.001599373,0.0005496581,0.0006926153,0.0003172763,0.00003366653,0.0002595564,0.9884393,0.000161132,0.007947287],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08133118,"threshold_uncertainty_score":0.4064685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0222851521395923,"score_gpt":0.2572545333560299,"score_spread":0.2349693812164376,"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."}}