{"id":"W6901694725","doi":"10.6068/dp14ba8d5369b98","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, country of birth, sex and age group | Variable: 25 to 54 years, North America, Population, Both sexes, Immigrants, landed 5 or less 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; Socioeconomic status; Population; Official statistics; Ethnic group; Population statistics; Diversity (politics); American Community 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":[0.002624486,0.002326865,0.002801704,0.007504917,0.003302149,0.004511533,0.005258432,0.001332686,0.08778822],"category_scores_gemma":[0.01868933,0.001929156,0.002279892,0.03481063,0.000583752,0.002318065,0.002268446,0.003345639,0.04377849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05346232,"about_ca_system_score_gemma":0.1487067,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951913,"about_ca_topic_score_gemma":0.9933358,"domain_scores_codex":[0.9954879,0.000331734,0.0005277774,0.0005297794,0.002074874,0.001048036],"domain_scores_gemma":[0.9650568,0.001151326,0.001063129,0.0008584722,0.03007838,0.001791802],"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":[0.00003593072,0.000009452369,0.001549122,0.0002836174,0.0000266528,0.000007518685,0.00003115969,0.0001008827,0.00001127989,0.0003324201,0.9953316,0.002280281],"study_design_scores_gemma":[0.0002717039,0.00002320517,0.05105376,0.001444267,0.0001220431,0.00004099738,0.0007869237,0.0005592229,0.0002184987,0.000817747,0.9445441,0.0001175088],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009608037,0.00007294451,0.00003589977,0.0001809234,0.00004867041,0.00003155879,0.9982342,0.00006652335,0.001233186],"genre_scores_gemma":[0.001381028,0.0004952437,0.000671875,0.0003006717,0.00003307065,0.0002700514,0.9890341,0.0001593583,0.007654555],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08778822,"threshold_uncertainty_score":0.3878981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02104586271480418,"score_gpt":0.2436120020678961,"score_spread":0.2225661393530919,"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."}}