{"id":"W6958079995","doi":"10.6068/dp14ba8baf53025","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, 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: 075-001-093.","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; Official statistics; Census; Socioeconomic status; Economic statistics; Population; Ethnic group; Citizenship; Diversity (politics); 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":[0.002666754,0.0023276,0.002707671,0.008102045,0.003282039,0.004492292,0.005346125,0.001354587,0.08362693],"category_scores_gemma":[0.01956895,0.001871443,0.00225452,0.03717603,0.0006273333,0.002141963,0.002591572,0.002964453,0.04143881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05163825,"about_ca_system_score_gemma":0.1362217,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951468,"about_ca_topic_score_gemma":0.9933808,"domain_scores_codex":[0.9956067,0.0003558967,0.000546462,0.0005174758,0.001926802,0.001046619],"domain_scores_gemma":[0.9673405,0.001309211,0.001105345,0.001088707,0.0273093,0.0018471],"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":[0.00002671593,0.000007502303,0.001295621,0.0002595356,0.00002498439,0.000006432169,0.00003008285,0.00009878408,0.000009507943,0.0003528345,0.9961073,0.0017808],"study_design_scores_gemma":[0.0002350515,0.00001813792,0.03952957,0.001228052,0.0001009686,0.00003564305,0.0007412154,0.0005712146,0.0002064988,0.0007857083,0.9564328,0.0001152171],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006713118,0.00004895644,0.00002682822,0.0001199336,0.00002986093,0.00001930726,0.9988829,0.0000538088,0.0007512613],"genre_scores_gemma":[0.00100641,0.0003050523,0.0004690666,0.0001758493,0.00002042073,0.0001953964,0.9932628,0.0001168053,0.004448135],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08362693,"threshold_uncertainty_score":0.3746635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02320185308059262,"score_gpt":0.2480583941658922,"score_spread":0.2248565410852996,"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."}}