{"id":"W6938869201","doi":"10.6068/dp14ba8f6586447","title":"Most Recent Data (2007). 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, High school graduate, some post-secondary, Males, Immigrants, landed more than 5 to 10 years earlier | Units: , 2007. 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; American Community Survey","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":[0.002697038,0.002459798,0.002930766,0.007049245,0.003659509,0.004797452,0.005631742,0.001604778,0.09718152],"category_scores_gemma":[0.02149667,0.002046303,0.002284562,0.04087204,0.0007336061,0.002349642,0.002368639,0.003603922,0.05433979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05664091,"about_ca_system_score_gemma":0.1507073,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956281,"about_ca_topic_score_gemma":0.9940565,"domain_scores_codex":[0.9949135,0.0003360514,0.0006025739,0.0005738619,0.002378807,0.001195207],"domain_scores_gemma":[0.9523335,0.001837165,0.001257323,0.001133507,0.04134099,0.00209762],"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":[0.00002437795,0.000009222584,0.001069409,0.0002313187,0.00001569232,0.00000554964,0.00002275048,0.00007469171,0.000008030582,0.0001818598,0.9970334,0.001323716],"study_design_scores_gemma":[0.0003228493,0.00002111483,0.05157033,0.001358707,0.0001092732,0.00003211167,0.0007870932,0.0003963872,0.0001968812,0.0005909353,0.9444963,0.0001179932],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006163884,0.00004792103,0.00001700296,0.0001249725,0.00002974364,0.0000197931,0.9988746,0.00003948739,0.0007847931],"genre_scores_gemma":[0.000971338,0.0003354813,0.0004222848,0.0002478002,0.00002433924,0.0001956671,0.9926658,0.0001030309,0.005034215],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09718152,"threshold_uncertainty_score":0.4109605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02894080994119298,"score_gpt":0.2661271577388147,"score_spread":0.2371863477976217,"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."}}