{"id":"W6901643702","doi":"10.6068/dp14ba8d250c00","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Immigrants and Nonpermanent Residents | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, sex and detailed age group | Variable: 25 to 54 years, Full-time employment, Both sexes, Immigrants, landed more than 10 years earlier | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-092.","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; Population; Socioeconomic status; Official statistics; Population statistics; Diversity (politics); Ethnic group; Current Population Survey","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":[0.002818116,0.002432084,0.002888174,0.00768625,0.003439514,0.004746085,0.005476952,0.001416715,0.09470317],"category_scores_gemma":[0.01987977,0.002123466,0.002351688,0.03604925,0.0006082388,0.002450629,0.002387732,0.003475534,0.0473309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05587631,"about_ca_system_score_gemma":0.1551754,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953041,"about_ca_topic_score_gemma":0.9931883,"domain_scores_codex":[0.9951497,0.0003629993,0.0005936393,0.0005759635,0.002203973,0.001113814],"domain_scores_gemma":[0.9621369,0.001278092,0.001125923,0.0009664922,0.0326142,0.0018784],"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":[0.00003537969,0.000009775425,0.001441845,0.0002874869,0.00002530612,0.000007482923,0.0000298613,0.00009663534,0.00001113932,0.0003247845,0.9954176,0.002312623],"study_design_scores_gemma":[0.0002807736,0.00002390532,0.04851085,0.001550511,0.000119506,0.00004043631,0.0007685976,0.000551153,0.000217728,0.0008085443,0.9470081,0.0001199108],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008953427,0.00007333104,0.00003529791,0.0001814862,0.00005176363,0.00003209262,0.9982234,0.0000675277,0.001245527],"genre_scores_gemma":[0.001354921,0.000512789,0.0006727223,0.0003183955,0.00003391154,0.0002798684,0.9884443,0.0001765197,0.008206732],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09470317,"threshold_uncertainty_score":0.4054129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0194636544499092,"score_gpt":0.2444773750384655,"score_spread":0.2250137205885563,"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."}}