{"id":"W6957635801","doi":"10.6068/dp14ba86599e396","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Labor Market and Income | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, country of birth, sex and age group | Variable: 25 to 54 years, Total population, Employment, Males, Born in Canada | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-094.","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; Unemployment; Official statistics; Census; Descriptive statistics; Socioeconomic status; Population; Ethnic group; Summary statistics; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002677886,0.002548834,0.002925082,0.007903503,0.00345249,0.004800212,0.005551128,0.001410427,0.0922785],"category_scores_gemma":[0.01882007,0.002000929,0.002502983,0.03658383,0.0006063912,0.002343072,0.002544368,0.003269193,0.0465497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05277132,"about_ca_system_score_gemma":0.1464726,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951073,"about_ca_topic_score_gemma":0.9934154,"domain_scores_codex":[0.9953862,0.000343791,0.0005337308,0.0005284061,0.002085147,0.00112268],"domain_scores_gemma":[0.9634644,0.001231297,0.001118677,0.001032464,0.03121419,0.001939003],"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":[0.00003576651,0.000009202725,0.001557516,0.0002843933,0.00002878904,0.000007952211,0.00002891451,0.0001035765,0.0000117423,0.0003240417,0.9954378,0.002170288],"study_design_scores_gemma":[0.0002774831,0.00002283628,0.04800485,0.001502723,0.0001223687,0.00004111012,0.0007014641,0.0005785772,0.0002482461,0.0008305522,0.9475437,0.0001260544],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007841195,0.00005690854,0.0000300387,0.0001414541,0.00003798185,0.00002546928,0.9985971,0.00006160056,0.0009711144],"genre_scores_gemma":[0.001084365,0.0003537375,0.0005533423,0.0002374475,0.00002655174,0.0002244213,0.9916843,0.0001485829,0.005687197],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9077215,"threshold_uncertainty_score":0.3828845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01587277215575747,"score_gpt":0.2327942199243265,"score_spread":0.216921447768569,"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."}}