{"id":"W6901568941","doi":"10.6068/dp14ba8c6f62689","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, country of birth, sex and age group | Variable: 15 years and over, Europe, Participation rate, Females, 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; Socioeconomic status; Census; Economic statistics; Population; Ethnic group; Citizenship; Diversity (politics); Population 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":[0.002761434,0.002379969,0.002810227,0.008247074,0.003510486,0.004798418,0.005499373,0.001325316,0.0805105],"category_scores_gemma":[0.01912311,0.001884837,0.002423182,0.03747781,0.0006474322,0.002166924,0.002549957,0.00297494,0.03924682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05823405,"about_ca_system_score_gemma":0.1567484,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963667,"about_ca_topic_score_gemma":0.995027,"domain_scores_codex":[0.9953014,0.0003552816,0.000561294,0.0005112962,0.002161869,0.001108768],"domain_scores_gemma":[0.9647806,0.001252143,0.001080211,0.0009907708,0.02997557,0.001920681],"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":[0.00003160167,0.000008953183,0.001619285,0.0002765748,0.00002834128,0.000007618748,0.00003558576,0.0001050152,0.00001079737,0.0003659293,0.9954218,0.002088432],"study_design_scores_gemma":[0.0002501548,0.00002163544,0.04812688,0.001331581,0.0001200239,0.00003978953,0.0009096327,0.0006583512,0.0002406092,0.0007714543,0.9474041,0.0001258449],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009557811,0.0000628036,0.00003038038,0.0001537643,0.00003778045,0.0000241208,0.9985486,0.00006226965,0.000984699],"genre_scores_gemma":[0.001331126,0.0003734241,0.000551044,0.0002203475,0.00002581198,0.0002175662,0.9912671,0.0001358698,0.005877724],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0805105,"threshold_uncertainty_score":0.4225196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03102959476755125,"score_gpt":0.259376358502562,"score_spread":0.2283467637350108,"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."}}