{"id":"W6976454050","doi":"10.6068/dp14ba8568cac79","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, age group | Variable: 25 to 54 years, Unemployment rate, 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; Official statistics; Socioeconomic status; Ethnic group; Diversity (politics); American Community Survey; 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":[0.00268238,0.00246457,0.003039226,0.007734766,0.003556204,0.005191419,0.005617745,0.001436083,0.09233971],"category_scores_gemma":[0.02000315,0.002049361,0.002413917,0.03746405,0.0006228671,0.002507689,0.002497812,0.003477087,0.05005668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05141126,"about_ca_system_score_gemma":0.1453471,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947999,"about_ca_topic_score_gemma":0.9926193,"domain_scores_codex":[0.9954231,0.0003361499,0.0005560438,0.0005635896,0.002030358,0.001090747],"domain_scores_gemma":[0.9639136,0.001242465,0.001040542,0.0010109,0.03095298,0.00183964],"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":[0.00003585568,0.000009055901,0.001402294,0.0002778331,0.00002524952,0.000007550493,0.00003050071,0.00009463674,0.00001051846,0.00029511,0.9957215,0.002089905],"study_design_scores_gemma":[0.0002823961,0.00002191708,0.04419428,0.001549921,0.0001151386,0.00003835548,0.0007825847,0.0005468276,0.0002099857,0.0008231726,0.951314,0.0001213827],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007234117,0.00005658302,0.00002963105,0.0001474627,0.00004069959,0.0000246051,0.9986407,0.00006278436,0.0009252008],"genre_scores_gemma":[0.001084918,0.0003898251,0.0005467937,0.0002302545,0.0000275026,0.0002333927,0.9918749,0.0001554418,0.005456999],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09233971,"threshold_uncertainty_score":0.3730165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02316668650133028,"score_gpt":0.2460160827536979,"score_spread":0.2228493962523676,"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."}}