{"id":"W6957975855","doi":"10.6068/dp14ba84f7bdf99","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, Population, Males, Total population | 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":[0.002789681,0.002454983,0.002794926,0.00824089,0.003715272,0.004894861,0.005716939,0.001388714,0.07805526],"category_scores_gemma":[0.01981396,0.001871517,0.002467069,0.03697628,0.0006535243,0.002330592,0.002684689,0.003145759,0.03907495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05485426,"about_ca_system_score_gemma":0.1504474,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9961255,"about_ca_topic_score_gemma":0.9948605,"domain_scores_codex":[0.9954286,0.0003496409,0.0005299491,0.0005068267,0.00205815,0.001126899],"domain_scores_gemma":[0.9660541,0.001236337,0.001015798,0.001022859,0.02883355,0.001837375],"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":[0.00002706029,0.000007649487,0.001465264,0.0002741134,0.00002761976,0.000007308721,0.00003475932,0.0001006266,0.00001040551,0.0003710362,0.9956859,0.001988252],"study_design_scores_gemma":[0.000226295,0.00001834783,0.04255575,0.00131839,0.0001136506,0.00003740166,0.0008309829,0.0006099707,0.0002218027,0.0008128769,0.953127,0.0001274898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007761005,0.0000619971,0.00003145878,0.0001530411,0.00003726574,0.00002357639,0.9986708,0.00006086654,0.0008833242],"genre_scores_gemma":[0.001226485,0.0003995826,0.0006213445,0.0002338635,0.00002581502,0.0002323853,0.992046,0.0001359822,0.005078531],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07805526,"threshold_uncertainty_score":0.3979974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02135395589109592,"score_gpt":0.2445703379246083,"score_spread":0.2232163820335124,"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."}}