{"id":"W6939291626","doi":"10.6068/dp14ba8f1e27c31","title":"Trend 2007 - 2011. 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, Not in labour force, High school graduate, some post-secondary, Males, Immigrants, landed more than 5 to 10 years earlier | Units: , 2007-2011. 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; Census; Official statistics; Socioeconomic status; Statistics education; Population; Ethnic group; Citizenship; Diversity (politics); Economic 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":[0.002865454,0.002482786,0.003060632,0.007828394,0.003468239,0.00457835,0.005750642,0.001461942,0.07319467],"category_scores_gemma":[0.01929775,0.002090914,0.002688671,0.03602828,0.0006552619,0.002236715,0.002618213,0.003490982,0.03660531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05491623,"about_ca_system_score_gemma":0.1423364,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9962654,"about_ca_topic_score_gemma":0.9951107,"domain_scores_codex":[0.9952492,0.0003672939,0.0005798682,0.0005313061,0.002128027,0.001144304],"domain_scores_gemma":[0.9613996,0.001337628,0.001262687,0.001077477,0.03303187,0.001890772],"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":[0.00003583711,0.00001060174,0.002100319,0.000328507,0.00003483556,0.000008004512,0.00003720639,0.0001117225,0.00001138111,0.0002951319,0.9950551,0.001971381],"study_design_scores_gemma":[0.0003356709,0.00002933278,0.07262253,0.001625647,0.0001536264,0.00004628392,0.001078487,0.0007583465,0.000258579,0.0007577468,0.9221792,0.0001545821],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001039597,0.00006238378,0.00002917173,0.0001506985,0.00004231637,0.00002507568,0.9987761,0.00005402626,0.0007562037],"genre_scores_gemma":[0.001337108,0.0003460069,0.0004821389,0.0002285077,0.0000268642,0.0002377363,0.9921966,0.0001131989,0.005031979],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07319467,"threshold_uncertainty_score":0.398447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02680062447556376,"score_gpt":0.2605152043551067,"score_spread":0.233714579879543,"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."}}