{"id":"W6920419978","doi":"10.6068/dp14ba8ddae2895","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: 25 to 54 years, Unemployment, No degree, certificate or diploma, Females, 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; Statistics education; Population; Economic statistics; Ethnic group; Citizenship; 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":[0.00278576,0.002554641,0.002965412,0.007859071,0.003429013,0.004656193,0.00575544,0.001402644,0.08553959],"category_scores_gemma":[0.01883938,0.00200637,0.002637251,0.03548617,0.0006364577,0.002331894,0.002608101,0.003275904,0.04325128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05149224,"about_ca_system_score_gemma":0.1370943,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959403,"about_ca_topic_score_gemma":0.9945983,"domain_scores_codex":[0.9954684,0.0003423379,0.0005160258,0.0005148982,0.00204646,0.001111966],"domain_scores_gemma":[0.9652982,0.001174596,0.001080553,0.001042152,0.02956849,0.001836073],"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":[0.00003662194,0.000009967487,0.001790732,0.0002928975,0.00003037253,0.000007302684,0.00003478013,0.0001092897,0.00001150674,0.0002958965,0.9954271,0.001953455],"study_design_scores_gemma":[0.0003220245,0.00002591269,0.05841604,0.001355072,0.0001292878,0.00004015692,0.0008857714,0.0006735323,0.0002394366,0.0007282989,0.9370502,0.0001342492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008997242,0.00005568913,0.00002805657,0.0001317843,0.00003926419,0.00002316669,0.9987546,0.00005850336,0.0008188903],"genre_scores_gemma":[0.001155221,0.0003059916,0.0004559752,0.0001907892,0.00002485221,0.0002057567,0.9922788,0.0001222815,0.005260224],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08553959,"threshold_uncertainty_score":0.3736041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08500621304841934,"score_gpt":0.2903346874701416,"score_spread":0.2053284744217223,"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."}}