{"id":"W6901623661","doi":"10.6068/dp14ba8a8a3fe56","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: 15 years and over, Labour force, Total, all education levels, Females, Total population | 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; Population; Statistics education; Ethnic group; Economic statistics; Citizenship; Social 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001105701,0.0008912568,0.001040615,0.0002395836,0.0003316942,0.0003026902,0.0006903066,0.0005002432,0.0008017815],"category_scores_gemma":[0.0002110077,0.0009619127,4.075218e-7,0.000477939,0.0003036811,0.0009343463,0.0008306546,0.0006065393,0.000006235472],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007020723,"about_ca_system_score_gemma":0.006689344,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999608,"about_ca_topic_score_gemma":0.9998161,"domain_scores_codex":[0.9947277,0.0006893603,0.001042537,0.00136676,0.001362222,0.0008114207],"domain_scores_gemma":[0.9955655,0.0008073212,0.001371829,0.001380951,0.0001770139,0.0006973966],"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":[0.0001807325,0.0001566778,0.002776751,0.0005501286,0.0003420009,0.00001804181,0.00002915521,0.00004316827,0.00005459933,0.0006299528,0.9950129,0.0002058899],"study_design_scores_gemma":[0.001101566,0.0001071064,0.0163028,0.00007230633,0.0004895864,0.00007850773,0.0006525237,0.003215583,5.325818e-8,0.000002692799,0.9770176,0.0009596237],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005583278,0.006770991,0.00002899398,0.000005142087,0.0005266743,0.001054074,0.9909478,0.00004590514,0.00006202392],"genre_scores_gemma":[0.001309487,0.001907654,0.000399062,0.0001278726,0.0001134058,0.00002261789,0.9903586,0.0002464195,0.005514875],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01799525,"threshold_uncertainty_score":0.9992831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03564131039706727,"score_gpt":0.2755490948379924,"score_spread":0.2399077844409251,"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."}}