{"id":"W6920143909","doi":"10.6068/dp14ba865936e94","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, Asia, Employment, Both sexes, Landed immigrants | 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":[0.002865841,0.002443355,0.002830315,0.008314449,0.003848648,0.004875543,0.005851813,0.001415056,0.08048082],"category_scores_gemma":[0.02028242,0.001915143,0.002475988,0.03745497,0.00066036,0.002308001,0.002721758,0.003117555,0.03857532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06013538,"about_ca_system_score_gemma":0.1597302,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9966113,"about_ca_topic_score_gemma":0.9954992,"domain_scores_codex":[0.9951168,0.0003668289,0.0005751129,0.0005299002,0.002227471,0.001183889],"domain_scores_gemma":[0.9641773,0.001302513,0.001104481,0.001043794,0.03038407,0.00198789],"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":[0.00003051156,0.000008434693,0.001601223,0.0002945692,0.00002937763,0.000007813035,0.00003841564,0.0001050736,0.00001136663,0.0004082758,0.9952904,0.002174385],"study_design_scores_gemma":[0.0002413702,0.00002061939,0.04661247,0.001423113,0.0001215217,0.00003995077,0.0009338994,0.0006495094,0.0002363737,0.0008455743,0.9487399,0.0001356723],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008747199,0.00006637989,0.0000325803,0.0001603558,0.00003918882,0.000025781,0.9985788,0.00006006177,0.0009493546],"genre_scores_gemma":[0.001377468,0.0004340426,0.0006582988,0.0002523783,0.00002677623,0.0002459968,0.9911076,0.0001414582,0.005755952],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08048082,"threshold_uncertainty_score":0.4363148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02427010370735779,"score_gpt":0.2503548051251606,"score_spread":0.2260847014178028,"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."}}