{"id":"W6901491793","doi":"10.6068/dp14ba8c6ae5d66","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, educational attainment, sex and age group | Variable: 25 to 54 years, Participation rate, Total, all education levels, Males, Total population | 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; Socioeconomic status; Population; Official statistics; Ethnic group; Population statistics; Diversity (politics); American Community 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":[0.002725664,0.002392528,0.002809058,0.007484445,0.003201578,0.004698479,0.005312563,0.001375083,0.09081504],"category_scores_gemma":[0.01924998,0.001999623,0.002260655,0.03523182,0.0005841609,0.002364762,0.002301545,0.003353431,0.0459291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05077187,"about_ca_system_score_gemma":0.1381633,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994477,"about_ca_topic_score_gemma":0.9921494,"domain_scores_codex":[0.9955344,0.0003403349,0.0005467148,0.0005389471,0.002004164,0.001035326],"domain_scores_gemma":[0.9654295,0.001253145,0.00106264,0.000935211,0.02959536,0.001724237],"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":[0.00003372138,0.000009207008,0.001354123,0.0002820141,0.00002473461,0.000007299642,0.00002816128,0.00009762297,0.00001085517,0.0003151813,0.9957112,0.002125928],"study_design_scores_gemma":[0.0002889328,0.0000219508,0.04476837,0.001485839,0.0001158743,0.00003977097,0.0006914099,0.0005806912,0.0002160407,0.0008256246,0.9508516,0.0001138236],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007690994,0.00006015948,0.00003090711,0.0001525104,0.00004213449,0.00002697549,0.9985384,0.00006141287,0.001010585],"genre_scores_gemma":[0.001111874,0.0004065053,0.0005822861,0.0002546492,0.00002890501,0.0002371499,0.9910781,0.0001511344,0.006149308],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09081504,"threshold_uncertainty_score":0.3683774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03471533002046142,"score_gpt":0.282190911386889,"score_spread":0.2474755813664276,"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."}}