{"id":"W6976376613","doi":"10.6068/dp14ba8ca84dc66","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: 25 to 54 years, Europe, Employment rate, Both sexes, Immigrants, landed more than 5 to 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; Population; Economic statistics; 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":[0.002824012,0.002477799,0.003004799,0.007974026,0.003683986,0.004870137,0.005786835,0.00138674,0.08105784],"category_scores_gemma":[0.01904706,0.001983393,0.002570652,0.0371667,0.0006900373,0.002357243,0.002592333,0.003258537,0.04233453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06033994,"about_ca_system_score_gemma":0.1599007,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9966019,"about_ca_topic_score_gemma":0.995199,"domain_scores_codex":[0.9950186,0.0003703398,0.0005538895,0.0005491577,0.002294821,0.001213125],"domain_scores_gemma":[0.9619671,0.00125283,0.001129139,0.00101865,0.03267059,0.001961793],"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":[0.00003299818,0.000009399308,0.001720539,0.0002598446,0.00002867766,0.000007376532,0.00003492187,0.000104292,0.00001083006,0.0003382881,0.9955491,0.001903846],"study_design_scores_gemma":[0.0002741655,0.00002357402,0.05177901,0.001217538,0.0001174174,0.00003920052,0.0009506471,0.0006323785,0.0002449883,0.0007180927,0.943867,0.0001360708],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009760055,0.00006283393,0.00003068625,0.000166916,0.00004522519,0.00002458359,0.9985271,0.00006219792,0.000982845],"genre_scores_gemma":[0.001338732,0.0003728305,0.0005438767,0.0002455828,0.00002876409,0.0002261399,0.990488,0.0001407458,0.006615357],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08105784,"threshold_uncertainty_score":0.437799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0232882055748065,"score_gpt":0.2486956696336733,"score_spread":0.2254074640588668,"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."}}