{"id":"W6939293371","doi":"10.6068/dp14ba85e0ce388","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, sex and detailed age group | Variable: 25 to 54 years, Unemployment, Males, Born in Canada | 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; Population; Socioeconomic status; Official statistics; Population statistics; Diversity (politics); Ethnic group; 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":[0.002614563,0.002446826,0.003016131,0.007657224,0.00348124,0.005195602,0.00558948,0.001436636,0.09247056],"category_scores_gemma":[0.01972902,0.002014349,0.002346358,0.0368898,0.00062175,0.002481997,0.002493434,0.003361562,0.04999353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.049901,"about_ca_system_score_gemma":0.1404728,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947211,"about_ca_topic_score_gemma":0.9925386,"domain_scores_codex":[0.9954515,0.0003423184,0.0005584234,0.0005756659,0.001967796,0.001104318],"domain_scores_gemma":[0.9650099,0.001251978,0.001065641,0.001043998,0.02980138,0.001827243],"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":[0.00003603246,0.000009215643,0.001438866,0.0002728528,0.00002602183,0.000007552469,0.00003007359,0.00009771146,0.00001055257,0.000308395,0.9956933,0.002069478],"study_design_scores_gemma":[0.0002818258,0.00002122509,0.04175453,0.001455098,0.0001112503,0.00003747968,0.0007388331,0.0005684065,0.0002109152,0.0008402118,0.9538625,0.0001175664],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007059826,0.00005140273,0.00002883622,0.0001357223,0.00003689507,0.00002384859,0.9987116,0.00006141006,0.0008796614],"genre_scores_gemma":[0.001039591,0.0003498281,0.0005251046,0.0002193329,0.00002560887,0.0002193467,0.9924046,0.0001468518,0.005069705],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09247056,"threshold_uncertainty_score":0.3620588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02358495069772154,"score_gpt":0.2438808766370079,"score_spread":0.2202959259392863,"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."}}