{"id":"W6976415087","doi":"10.6068/dp14ba8bafadb27","title":"Trend 2007 - 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: 25 to 54 years, Europe, Unemployment, Males, Immigrants, landed more than 5 to 10 years earlier | Units: , 2007-2013. 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; Economic statistics; Population; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002927648,0.002471555,0.002850709,0.008210975,0.003672462,0.004885547,0.005846329,0.001384623,0.07925851],"category_scores_gemma":[0.01952775,0.002002454,0.002594626,0.03613503,0.0006900168,0.002316025,0.002710229,0.003233365,0.04005301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06142479,"about_ca_system_score_gemma":0.1678475,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9967063,"about_ca_topic_score_gemma":0.9952585,"domain_scores_codex":[0.9949276,0.0003794515,0.0005634805,0.0005143653,0.002391022,0.001223933],"domain_scores_gemma":[0.9610104,0.001260557,0.00114326,0.001021288,0.0335499,0.002014651],"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":[0.00003184939,0.000009765938,0.001833037,0.0002845408,0.00002938454,0.000008062314,0.00003818148,0.0001113627,0.00001142198,0.0003735081,0.9950966,0.002172368],"study_design_scores_gemma":[0.000264952,0.00002404299,0.0535956,0.001388238,0.0001198899,0.00004092301,0.001037762,0.0006646209,0.0002520873,0.0007735415,0.9417004,0.0001379467],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001105466,0.00007020996,0.00003481417,0.0001947056,0.00004743752,0.00002950464,0.9983322,0.00007007683,0.001110469],"genre_scores_gemma":[0.001551023,0.0004212347,0.0006504535,0.0002834505,0.00003146292,0.0002699555,0.9896695,0.0001572083,0.006965717],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07925851,"threshold_uncertainty_score":0.4456701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02678927094582296,"score_gpt":0.254331517079312,"score_spread":0.2275422461334891,"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."}}