{"id":"W6976655866","doi":"10.6068/dp14ba8ec373528","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Integration of Newcomers | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, educational attainment, sex and age group | Variable: 25 to 54 years, Participation rate, High school graduate, some post-secondary, Females, Immigrants, landed 5 or less years earlier | Units: , 2006-2013. 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; Socioeconomic status; Official statistics; Census; Statistics education; Population; Ethnic group; Citizenship; Economic statistics; Diversity (politics)","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":[0.002852867,0.002583286,0.003045564,0.007821815,0.003446415,0.004539199,0.005846046,0.001415509,0.07582652],"category_scores_gemma":[0.01864203,0.002089281,0.00266516,0.0364877,0.000647327,0.002309826,0.002495326,0.003458385,0.03862881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05352904,"about_ca_system_score_gemma":0.1429894,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960467,"about_ca_topic_score_gemma":0.9945449,"domain_scores_codex":[0.9953396,0.0003445154,0.0005526998,0.0005203302,0.002107514,0.001135345],"domain_scores_gemma":[0.9626337,0.001180578,0.001129737,0.0009818689,0.03223398,0.00184009],"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":[0.0000364851,0.00001068335,0.001991939,0.0003106399,0.00003187496,0.000007811534,0.00003503588,0.0001127112,0.0000120597,0.0003042692,0.9951456,0.002000931],"study_design_scores_gemma":[0.0003375716,0.00002770077,0.06712308,0.00151579,0.0001414415,0.00004304699,0.0009883511,0.0007118622,0.0002619153,0.0007834574,0.9279221,0.0001437832],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000094485,0.00005814676,0.00002851653,0.0001457792,0.00004257075,0.00002484781,0.9987595,0.00005328261,0.0007928727],"genre_scores_gemma":[0.001270863,0.000348259,0.0004954224,0.0002220892,0.00002723419,0.0002340264,0.9918457,0.000118936,0.005437483],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07582652,"threshold_uncertainty_score":0.3883822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04735561701320425,"score_gpt":0.2794328928166745,"score_spread":0.2320772758034703,"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."}}