{"id":"W6901727004","doi":"10.6068/dp14ba8a5985c84","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, educational attainment, sex and age group | Variable: 15 years and over, Labour force, Total, all education levels, Males, Landed immigrants | 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; Socioeconomic status; Official statistics; Census; Statistics education; Population; Ethnic group; Economic statistics; Citizenship; 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":[0.002627507,0.002415535,0.002715829,0.008335975,0.0034357,0.004806109,0.005431751,0.00137332,0.07762686],"category_scores_gemma":[0.01918542,0.001850398,0.002231913,0.03805673,0.0006538003,0.00223691,0.002698483,0.003004966,0.04058927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05130801,"about_ca_system_score_gemma":0.1369067,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995452,"about_ca_topic_score_gemma":0.9938468,"domain_scores_codex":[0.9956002,0.0003356653,0.00051065,0.0005149443,0.001962104,0.001076387],"domain_scores_gemma":[0.968065,0.001285568,0.001081844,0.001064403,0.02668907,0.001814062],"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":[0.00002560107,0.000007541912,0.001343718,0.000238795,0.00002410486,0.000006686589,0.00003113064,0.00009991071,0.000009670043,0.0003536736,0.9960867,0.001772553],"study_design_scores_gemma":[0.0002105393,0.00001664594,0.03790575,0.001145881,0.00009363568,0.00003433379,0.0007519947,0.0006056628,0.0002088483,0.0007665607,0.9581472,0.0001128963],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006952887,0.00004783784,0.00002599817,0.000121239,0.00002961016,0.00001744286,0.9989098,0.00005593605,0.000722574],"genre_scores_gemma":[0.0009410571,0.0002841688,0.0004463855,0.0001633613,0.00001970309,0.0001630811,0.9936509,0.0001139492,0.004217561],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07762686,"threshold_uncertainty_score":0.3722674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03179253876256993,"score_gpt":0.269613820624457,"score_spread":0.2378212818618871,"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."}}