{"id":"W6901500406","doi":"10.6068/dp14ba8d3c48852","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, North America, Employment rate, 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: 075-001-094.","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; 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":[0.002760534,0.002550608,0.003026081,0.008034164,0.003413304,0.004834668,0.005743476,0.001441778,0.08978505],"category_scores_gemma":[0.01898496,0.001972518,0.002572825,0.03813912,0.0006033473,0.002366106,0.002477803,0.00334319,0.04923642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05395503,"about_ca_system_score_gemma":0.1462936,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952449,"about_ca_topic_score_gemma":0.9936565,"domain_scores_codex":[0.9951623,0.0003641717,0.000552458,0.0005616559,0.002195575,0.001163854],"domain_scores_gemma":[0.9616959,0.001227376,0.001119114,0.001012655,0.03305167,0.001893237],"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":[0.00003462469,0.000009036127,0.001361976,0.0002606312,0.00002723386,0.000007283661,0.00002740054,0.00009945843,0.00001079706,0.0003196016,0.9958953,0.001946667],"study_design_scores_gemma":[0.0002507019,0.00002093545,0.04181455,0.001242311,0.0001118344,0.00003605979,0.0006821346,0.0005305774,0.0002247279,0.0007813589,0.9541833,0.0001214693],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000765326,0.00005891755,0.00002875084,0.0001466618,0.00004059947,0.00002391361,0.9985733,0.0000618433,0.0009894383],"genre_scores_gemma":[0.00102519,0.0003299899,0.0005099824,0.0002401364,0.00002716291,0.0002061541,0.9915205,0.0001409091,0.00599998],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08978505,"threshold_uncertainty_score":0.3914729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01423039623498424,"score_gpt":0.2339348629304816,"score_spread":0.2197044666954973,"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."}}