{"id":"W6976516753","doi":"10.6068/dp14ba85e0f7289","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, country of birth, sex and age group | Variable: 15 years and over, Europe, Labour force, Males, Total population | 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":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Official statistics; Socioeconomic status; Census; Population; Economic statistics; Ethnic group; Citizenship; Diversity (politics); Population statistics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001293661,0.0009083889,0.001398318,0.0002374664,0.0002491572,0.0002085105,0.0008362246,0.0005164579,0.0004483801],"category_scores_gemma":[0.000246387,0.0009341121,3.135634e-7,0.0007493082,0.0004391276,0.0007698041,0.00105411,0.0006739323,0.000003869623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002897748,"about_ca_system_score_gemma":0.003008209,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999753,"about_ca_topic_score_gemma":0.9999108,"domain_scores_codex":[0.9944522,0.0008005938,0.001173581,0.001263166,0.001472628,0.0008377904],"domain_scores_gemma":[0.9952055,0.000823369,0.001597326,0.001560923,0.0002112551,0.0006016575],"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":[0.0003839382,0.00007404029,0.003719114,0.0009602511,0.0003451605,0.0001177617,0.00001521398,0.00005501185,0.00007652525,0.0003933409,0.9937615,0.00009813767],"study_design_scores_gemma":[0.001579528,0.0001561806,0.006939855,0.00009025868,0.0005037012,0.00007102596,0.0003211471,0.00560439,8.62386e-8,6.640973e-7,0.9838309,0.0009022506],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000421395,0.0067557,0.00003065437,6.526271e-7,0.0003155642,0.0008423113,0.9915002,0.00005695656,0.00007657197],"genre_scores_gemma":[0.0007941903,0.004713296,0.0002401688,0.00005722071,0.0000533845,0.000006369101,0.9908277,0.0002934562,0.003014163],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.009930592,"threshold_uncertainty_score":0.999311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02121591082779454,"score_gpt":0.2410930416171637,"score_spread":0.2198771307893692,"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."}}