{"id":"W6958085841","doi":"10.6068/dp14ba8b2c01143","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Integration of Newcomers | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, educational attainment, sex and age group | Variable: 25 to 54 years, Unemployment rate, No degree, certificate or diploma, Males, Born in Canada | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-093.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Official statistics; Socioeconomic status; Census; Population; Economic statistics; Statistics education; Social statistics; Ethnic group; 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":[0.002475756,0.002367526,0.002681432,0.008106139,0.003412933,0.004616513,0.005393019,0.001382117,0.0758392],"category_scores_gemma":[0.01935097,0.001750648,0.002303855,0.03597739,0.0006452533,0.002035704,0.002614693,0.002973544,0.03826817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05127587,"about_ca_system_score_gemma":0.13027,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949445,"about_ca_topic_score_gemma":0.9934502,"domain_scores_codex":[0.9958997,0.0003327805,0.0005039754,0.0004923375,0.00178795,0.0009832026],"domain_scores_gemma":[0.9683104,0.001318239,0.001032688,0.001096734,0.0265084,0.001733661],"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":[0.00002625385,0.000007038922,0.001251001,0.0002523587,0.00002527555,0.000007066324,0.0000288853,0.0001070033,0.000009606269,0.0003473327,0.9962375,0.001700557],"study_design_scores_gemma":[0.0002306845,0.00001596346,0.03515591,0.001248364,0.0001035044,0.0000371061,0.0007061245,0.0006036949,0.0002037948,0.0008266954,0.9607535,0.0001147172],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006136458,0.00004788632,0.00002403963,0.0001123606,0.00002767309,0.00001586055,0.9990139,0.00005161043,0.0006452846],"genre_scores_gemma":[0.0008784034,0.0002709506,0.0004063104,0.0001432014,0.00001817409,0.0001543006,0.994752,0.00009903238,0.003277737],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0758392,"threshold_uncertainty_score":0.3720342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03328375585596718,"score_gpt":0.239579418407691,"score_spread":0.2062956625517239,"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."}}