{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002528707,0.002413626,0.002705119,0.00815763,0.003364024,0.004746213,0.005417989,0.001364707,0.07487214],"category_scores_gemma":[0.01870661,0.001809455,0.002195605,0.03646425,0.0006551335,0.002195248,0.002685302,0.002977434,0.04043663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04867363,"about_ca_system_score_gemma":0.1274364,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949653,"about_ca_topic_score_gemma":0.9933976,"domain_scores_codex":[0.9959686,0.000315261,0.0004777084,0.000479582,0.001769479,0.0009892761],"domain_scores_gemma":[0.9701152,0.001249286,0.001034384,0.001019893,0.02486899,0.001712172],"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":[0.00002407267,0.000006989142,0.00132004,0.0002380389,0.00002366896,0.000006695176,0.00003016206,0.0001030323,0.000009120177,0.0003374164,0.9962479,0.001652746],"study_design_scores_gemma":[0.0002170133,0.00001596645,0.03669256,0.001153031,0.00009107411,0.0000350362,0.0007286242,0.0006393017,0.0002077737,0.0007826556,0.9593236,0.000113268],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006437635,0.00004423036,0.00002435522,0.0001141679,0.00002669838,0.00001579246,0.9990261,0.0000525669,0.0006317094],"genre_scores_gemma":[0.0008946252,0.0002620367,0.0004166512,0.000150936,0.00001826113,0.0001572198,0.9943799,0.0001036123,0.003616733],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07487214,"threshold_uncertainty_score":0.3531535,"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."}}