{"id":"W6957883018","doi":"10.6068/dp14ba8c8982e66","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, Latin America, Participation rate, Males, Immigrants, landed more than 10 years earlier | 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; Summary statistics; Ethnic group; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001538136,0.0009557125,0.001504816,0.0002218451,0.000238309,0.0002779479,0.001020055,0.0005098101,0.001248832],"category_scores_gemma":[0.0002808558,0.0009872683,3.483926e-7,0.000899668,0.000513432,0.0004938004,0.001326536,0.0006548092,0.00002054997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002671464,"about_ca_system_score_gemma":0.003150068,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.99995,"about_ca_topic_score_gemma":0.9998764,"domain_scores_codex":[0.9939098,0.001098775,0.001038344,0.001465186,0.001345871,0.001142049],"domain_scores_gemma":[0.9947162,0.001207575,0.00108602,0.001860936,0.0001747187,0.0009546113],"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":[0.0006061969,0.00008828147,0.01018182,0.0006463281,0.0004245323,0.0002758666,0.00004581211,0.00002268246,0.00002856382,0.00002533423,0.9875689,0.0000857513],"study_design_scores_gemma":[0.001552562,0.0001494988,0.04512614,0.00007923997,0.0004909992,0.00002554404,0.0004024591,0.002559298,4.841764e-8,2.45658e-7,0.948575,0.001038969],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009099769,0.005003256,0.000008664168,0.000002601876,0.0001929493,0.001025792,0.9927344,0.00007665773,0.00004568123],"genre_scores_gemma":[0.0006500217,0.003801252,0.0002561385,0.0001606402,0.00005645393,0.00002407506,0.9908397,0.0003184276,0.003893352],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03899383,"threshold_uncertainty_score":0.9996642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01873677265408696,"score_gpt":0.2457727533035466,"score_spread":0.2270359806494597,"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."}}