{"id":"W6901427226","doi":"10.6068/dp14ba8bb93bf90","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Labor Market and Income | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, educational attainment, sex and age group | Variable: 15 years and over, Population, Post-secondary certificate or diploma, Females, Landed immigrants | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-094.","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; Unemployment; Official statistics; Socioeconomic status; Descriptive statistics; Census; Population; Ethnic group; 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":[0.002689424,0.0025381,0.002885194,0.007663057,0.003323394,0.004855811,0.005502178,0.001461523,0.09622058],"category_scores_gemma":[0.01890309,0.001946233,0.002382677,0.03700545,0.000597464,0.002386839,0.002508296,0.003255445,0.05410033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04915527,"about_ca_system_score_gemma":0.1344435,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942694,"about_ca_topic_score_gemma":0.9921938,"domain_scores_codex":[0.9954749,0.000344151,0.0005148062,0.0005459183,0.002033418,0.001086799],"domain_scores_gemma":[0.9665364,0.00122298,0.001040929,0.001015992,0.02842569,0.001757973],"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":[0.0000291796,0.000008070023,0.001131393,0.0002357716,0.00002243748,0.000006554378,0.00002393953,0.0000946841,0.000009636047,0.0003069284,0.996371,0.001760364],"study_design_scores_gemma":[0.0002314392,0.00001826413,0.03335069,0.001168353,0.00009178893,0.00003272807,0.0005688086,0.0005231739,0.0002075516,0.0007718646,0.9629303,0.0001050564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006000013,0.00004624505,0.00002595352,0.0001211472,0.00003434733,0.00002037008,0.9987628,0.00005647202,0.0008726908],"genre_scores_gemma":[0.0007877786,0.0002604079,0.0004291554,0.00019139,0.0000217245,0.0001739314,0.9930039,0.0001272707,0.005004471],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09622058,"threshold_uncertainty_score":0.3566481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03274335181573133,"score_gpt":0.2633207965668372,"score_spread":0.2305774447511059,"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."}}