{"id":"W6938997908","doi":"10.6068/dp14ba882078e57","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, Unemployment rate, Both sexes, 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; Unemployment; Population statistics; Citizenship","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":[0.002816565,0.002417728,0.002812061,0.008316903,0.003742185,0.004868865,0.005813879,0.001395868,0.08237708],"category_scores_gemma":[0.02009268,0.001866834,0.002432535,0.03705534,0.0006470731,0.00231799,0.002709897,0.003060189,0.04052962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05747698,"about_ca_system_score_gemma":0.1517006,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.996152,"about_ca_topic_score_gemma":0.9949321,"domain_scores_codex":[0.9952925,0.0003551389,0.0005576125,0.0005197896,0.002144714,0.001130213],"domain_scores_gemma":[0.9647574,0.001280615,0.001064589,0.001025123,0.02994886,0.001923325],"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":[0.00002857398,0.000007817841,0.001428198,0.000285885,0.00002744997,0.00000737968,0.00003595905,0.0001015076,0.00001078861,0.0003927269,0.9956036,0.002070259],"study_design_scores_gemma":[0.0002305295,0.0000186735,0.04173033,0.001331176,0.0001114551,0.00003771658,0.0008404246,0.0006078623,0.0002237701,0.0008239359,0.9539153,0.0001288691],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007830693,0.00006177456,0.00003128094,0.0001493455,0.00003668174,0.00002429285,0.9986274,0.00006044614,0.0009304382],"genre_scores_gemma":[0.001220597,0.0003958693,0.0006222842,0.0002334333,0.0000252006,0.0002324059,0.9918938,0.0001384996,0.005237785],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08237708,"threshold_uncertainty_score":0.4170266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02258008464902117,"score_gpt":0.2445522548099408,"score_spread":0.2219721701609196,"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."}}