{"id":"W6939352534","doi":"10.6068/dp14ba877f8820","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Immigrants and Nonpermanent Residents | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, country of birth, sex and age group | Variable: 25 to 54 years, Asia, Population, Males, Landed immigrants | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-092.","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; Census; Socioeconomic status; Population; Official statistics; Population statistics; Ethnic group; Diversity (politics); American Community Survey","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":[0.002623984,0.002403344,0.002917886,0.007374351,0.003387976,0.004822975,0.005564837,0.001400053,0.09159867],"category_scores_gemma":[0.01949718,0.002009324,0.002324636,0.03558592,0.0005993113,0.002410788,0.002391851,0.003352352,0.04709343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05076501,"about_ca_system_score_gemma":0.1405788,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946805,"about_ca_topic_score_gemma":0.9925621,"domain_scores_codex":[0.9954631,0.0003428089,0.0005501693,0.0005465337,0.002015699,0.001081707],"domain_scores_gemma":[0.965067,0.00124393,0.001084999,0.0009570467,0.02984389,0.001803152],"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":[0.00003476064,0.000008896065,0.001414186,0.0002740023,0.00002502507,0.000007390374,0.00002991529,0.00009493832,0.00001054419,0.0003154303,0.9957883,0.001996686],"study_design_scores_gemma":[0.0003029974,0.00002286476,0.04538291,0.001565045,0.0001179039,0.00004106843,0.0007865469,0.0005783626,0.0002227793,0.0008520357,0.9500076,0.0001199147],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007886856,0.00005726707,0.00003010579,0.0001511637,0.00004017696,0.00002744245,0.9985681,0.00005889152,0.0009880022],"genre_scores_gemma":[0.001154845,0.0003996918,0.0005699433,0.0002570654,0.00002858967,0.0002520003,0.9910794,0.0001485176,0.006109933],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09159867,"threshold_uncertainty_score":0.3683276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0201835612686108,"score_gpt":0.2447458772756857,"score_spread":0.2245623160070749,"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."}}