{"id":"W6939179246","doi":"10.6068/dp14ba8edc1be97","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: 15 years and over, Unemployment rate, Total, all education levels, Males, Immigrants, landed more than 10 years earlier | 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":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Census; Socioeconomic status; Population; Official statistics; Ethnic group; Diversity (politics); Population statistics; Unemployment","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":[0.002558625,0.002352039,0.002841323,0.007405474,0.003321683,0.004599574,0.005256537,0.001320146,0.08254561],"category_scores_gemma":[0.01741769,0.001934353,0.002308292,0.03448426,0.0006035679,0.002309883,0.002233097,0.003303994,0.0413949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05599842,"about_ca_system_score_gemma":0.1517754,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960184,"about_ca_topic_score_gemma":0.9943582,"domain_scores_codex":[0.9956761,0.0003077483,0.0005051928,0.0005112215,0.001970569,0.001029205],"domain_scores_gemma":[0.9651808,0.001049177,0.001012536,0.0008260782,0.03017031,0.001761211],"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":[0.00003894403,0.00001005408,0.001635023,0.0003070304,0.00002813835,0.000008067078,0.000031395,0.0001033443,0.00001245415,0.0003208608,0.9950648,0.002439754],"study_design_scores_gemma":[0.0002857221,0.00002482417,0.05518397,0.001461464,0.0001317869,0.00004257297,0.0007634844,0.0005829468,0.0002331438,0.0007460479,0.9404244,0.000119746],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001024957,0.00008122587,0.00003525088,0.000183936,0.00005113734,0.00003129321,0.9982041,0.00007090574,0.001239659],"genre_scores_gemma":[0.001481077,0.0005194642,0.0006673036,0.0003114441,0.0000328897,0.0002421702,0.9888858,0.000161649,0.007698181],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08254561,"threshold_uncertainty_score":0.4062988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02388656227534239,"score_gpt":0.2466698148851378,"score_spread":0.2227832526097954,"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."}}