{"id":"W6958033292","doi":"10.6068/dp14ba865936e93","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, Canada, Employment rate, Females, 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00139221,0.000964205,0.001509235,0.0002232523,0.0002405631,0.0001656491,0.001043649,0.0004617043,0.0004746684],"category_scores_gemma":[0.0002163078,0.001002054,3.183944e-7,0.0007149922,0.0002562882,0.000502086,0.0009917298,0.0006116804,0.000004084888],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001039114,"about_ca_system_score_gemma":0.009600046,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999996,"about_ca_topic_score_gemma":0.9999994,"domain_scores_codex":[0.9936911,0.0008647479,0.001335427,0.001330422,0.001804946,0.0009733348],"domain_scores_gemma":[0.9948086,0.0008444147,0.001456256,0.001836363,0.0002173371,0.0008370078],"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":[0.0003145118,0.00007797407,0.002302536,0.000613635,0.000395064,0.0001334544,0.00001990866,0.0001724551,0.00006124188,0.0001217112,0.9957107,0.00007681896],"study_design_scores_gemma":[0.001088646,0.0001498814,0.006412777,0.0000910078,0.0004660777,0.00003629902,0.0004483871,0.002454187,1.761732e-7,2.259592e-7,0.987876,0.0009763521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002827613,0.003258026,0.00003102512,0.000001857208,0.0004588299,0.001141346,0.9947377,0.00004757546,0.00004087307],"genre_scores_gemma":[0.001115741,0.00112447,0.0001978967,0.0001017983,0.00005335938,0.0000133998,0.9949926,0.0002741843,0.002126622],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.008560932,"threshold_uncertainty_score":0.999243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02816561833763464,"score_gpt":0.2514262710412364,"score_spread":0.2232606527036018,"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."}}