{"id":"W6901728545","doi":"10.6068/dp14ba8b43c834","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, sex and detailed age group | Variable: 15 to 24 years, Unemployment, 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: 075-001-093.","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; Census; Socioeconomic status; Economic statistics; Population; Ethnic group; Citizenship; Diversity (politics); Social 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":[0.002737654,0.002463673,0.002800523,0.008434585,0.003483911,0.004841794,0.005592168,0.001405503,0.08557491],"category_scores_gemma":[0.02001817,0.00195135,0.002270254,0.0392436,0.0006657997,0.002320661,0.002708351,0.00306564,0.0444588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05381895,"about_ca_system_score_gemma":0.1440851,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955337,"about_ca_topic_score_gemma":0.9938933,"domain_scores_codex":[0.9952453,0.0003672764,0.0005577117,0.0005475148,0.002137132,0.001145136],"domain_scores_gemma":[0.9654146,0.001378822,0.001150722,0.001126663,0.02897096,0.001958311],"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":[0.00002621813,0.000007616237,0.001259323,0.0002424727,0.00002334862,0.000006427358,0.00003048561,0.00009762561,0.000009398645,0.0003511844,0.9961875,0.001758409],"study_design_scores_gemma":[0.0002128957,0.00001735179,0.03716916,0.00114851,0.00009150585,0.00003357172,0.0007488902,0.000575021,0.000207596,0.0007521063,0.9589284,0.0001149352],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006734181,0.0000478573,0.00002702486,0.0001241851,0.00003098729,0.0000189475,0.9988208,0.00005894177,0.0008039036],"genre_scores_gemma":[0.0009664731,0.0002990568,0.0004741933,0.0001766321,0.00002085673,0.0001802568,0.9929657,0.0001289405,0.004787861],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08557491,"threshold_uncertainty_score":0.3904856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02790280927774904,"score_gpt":0.2546229971204475,"score_spread":0.2267201878426985,"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."}}