{"id":"W6976694522","doi":"10.6068/dp14ba85a383825","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, Females, 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":"Health, Education, and Aging","field":"Social Sciences","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00148001,0.0003920427,0.0007577462,0.0001013263,0.0004035787,0.0001294706,0.0005653161,0.0003285528,0.000258369],"category_scores_gemma":[0.0001293878,0.000391666,2.163715e-7,0.0003347106,0.0004079023,0.0003821706,0.0002293038,0.0003691638,6.534444e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000185554,"about_ca_system_score_gemma":0.00695031,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999933,"about_ca_topic_score_gemma":0.9999864,"domain_scores_codex":[0.9965629,0.0006539845,0.0006375211,0.0006795059,0.0008841385,0.0005819323],"domain_scores_gemma":[0.9971859,0.0008186952,0.0007313445,0.0006885864,0.00009204171,0.0004833936],"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":[0.00005541469,0.00004627961,0.004298435,0.0004172308,0.0001142971,0.00001902342,0.0002187231,0.000001674262,0.000005306156,0.0002445969,0.9943507,0.0002282919],"study_design_scores_gemma":[0.0005975491,0.00005238295,0.002460839,0.00006029911,0.0001603346,0.000005873743,0.004000472,0.0003089596,3.484155e-8,9.503052e-7,0.9919623,0.0003900534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000286661,0.006389691,0.000016892,0.000004621154,0.000338146,0.0005056387,0.992292,0.00002314199,0.0001431591],"genre_scores_gemma":[0.0007278587,0.0164695,0.00009040938,0.00008086923,0.0000611243,0.000003899778,0.9802312,0.00005709235,0.00227809],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01206089,"threshold_uncertainty_score":0.9998536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03608263789713881,"score_gpt":0.2875188362079106,"score_spread":0.2514361983107718,"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."}}