{"id":"W6901779036","doi":"10.6068/dp14ba8dda9b593","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: 25 to 54 years, Unemployment rate, University degree, Males, Immigrants, landed 5 or less 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":"","field":"","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":[0.002523921,0.002419606,0.002839135,0.007411126,0.003307002,0.004610193,0.005259303,0.00136284,0.08434029],"category_scores_gemma":[0.01790621,0.001979872,0.002294447,0.03541478,0.0005969272,0.002353206,0.002291763,0.003331617,0.04345308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05350004,"about_ca_system_score_gemma":0.1463934,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954639,"about_ca_topic_score_gemma":0.9936963,"domain_scores_codex":[0.9956231,0.0003115028,0.0005139047,0.000525639,0.001993415,0.001032569],"domain_scores_gemma":[0.966445,0.001094211,0.001037613,0.0008614523,0.02885788,0.001703972],"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":[0.00003557122,0.000009315305,0.001561199,0.0002874908,0.00002647849,0.000007674204,0.00002997283,0.0001055921,0.00001165273,0.0003201578,0.9954509,0.002154021],"study_design_scores_gemma":[0.0002745078,0.00002306695,0.05013571,0.001427633,0.0001200695,0.00004091568,0.0007602291,0.000582521,0.0002267915,0.0007689571,0.9455224,0.0001170869],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008867772,0.00006781012,0.000031158,0.00016443,0.00004475444,0.00002606315,0.9984608,0.00006076264,0.001055512],"genre_scores_gemma":[0.0013184,0.0004642874,0.000591741,0.0002722072,0.00002970548,0.0002244856,0.9902255,0.0001465193,0.006727113],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08434029,"threshold_uncertainty_score":0.3881718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03469616306879664,"score_gpt":0.2548441079737624,"score_spread":0.2201479449049658,"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."}}