{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002916495,0.0025713,0.003004349,0.007918207,0.003376736,0.004904849,0.005806423,0.00147216,0.09423808],"category_scores_gemma":[0.02016036,0.002069128,0.002587576,0.03810114,0.0005977659,0.002429683,0.002544212,0.003376415,0.0514394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0523059,"about_ca_system_score_gemma":0.1462985,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946275,"about_ca_topic_score_gemma":0.9926225,"domain_scores_codex":[0.9949442,0.0003944525,0.000592149,0.0005776844,0.002305416,0.001186073],"domain_scores_gemma":[0.9587919,0.001348388,0.001192994,0.001095786,0.03559592,0.001974982],"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":[0.00003375707,0.000009510222,0.001316773,0.0002632593,0.00002650629,0.000007219246,0.00002579271,0.0000983049,0.00001027782,0.0003229694,0.995871,0.002014657],"study_design_scores_gemma":[0.0002530627,0.00002128718,0.03995286,0.001335559,0.0001099893,0.00003606723,0.0006569293,0.0005297692,0.0002216181,0.0008063857,0.9559571,0.0001193517],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000740293,0.00005898012,0.00003034381,0.0001543221,0.00004330558,0.00002589608,0.9985227,0.00006254454,0.001027838],"genre_scores_gemma":[0.001010817,0.0003481225,0.0005505951,0.0002562409,0.00002832458,0.0002250187,0.991025,0.0001533716,0.006402498],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09423808,"threshold_uncertainty_score":0.3795077,"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."}}