{"id":"W6976536615","doi":"10.6068/dp14ba8baf1c622","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, sex and detailed age group | Variable: 15 to 24 years, Employment, Both sexes, Immigrants, landed 5 or less 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; Population; Socioeconomic status; Official statistics; Population statistics; Diversity (politics); Ethnic group; Current Population Survey","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":[0.002701819,0.002434685,0.002856006,0.007604988,0.00329836,0.004780796,0.005460266,0.001401588,0.09644192],"category_scores_gemma":[0.01965625,0.002073046,0.002239609,0.0364066,0.000598414,0.002454202,0.002389362,0.003373697,0.05017588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05157669,"about_ca_system_score_gemma":0.1396226,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947338,"about_ca_topic_score_gemma":0.992532,"domain_scores_codex":[0.9953844,0.000351162,0.0005574304,0.0005677538,0.00205945,0.001079773],"domain_scores_gemma":[0.9650594,0.001271613,0.001094519,0.0009888932,0.0297678,0.001817796],"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":[0.00003152883,0.000008587021,0.001252689,0.0002570327,0.00002272642,0.00000672255,0.00002773968,0.00008992416,0.000009841416,0.0003081961,0.9960109,0.001974122],"study_design_scores_gemma":[0.0002719813,0.00002134675,0.04294509,0.001416803,0.0001052644,0.00003795983,0.0007047391,0.0005413836,0.0002037928,0.0008061009,0.9528335,0.0001122028],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007280487,0.00005593126,0.00003030357,0.0001423225,0.00003989735,0.0000258542,0.9985529,0.00006064886,0.001019359],"genre_scores_gemma":[0.001044052,0.0003816288,0.0005406142,0.0002334448,0.00002676408,0.0002261947,0.9912072,0.0001492284,0.006190945],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09644192,"threshold_uncertainty_score":0.3742168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.030752781730189,"score_gpt":0.2551682009925272,"score_spread":0.2244154192623382,"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."}}