{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028758,0.002484626,0.002805315,0.008527434,0.003750375,0.004945658,0.005687751,0.001390652,0.08321735],"category_scores_gemma":[0.02064156,0.001905353,0.002487201,0.03814377,0.0006612549,0.002357253,0.002712702,0.003105622,0.04109902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05735102,"about_ca_system_score_gemma":0.1583802,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9961371,"about_ca_topic_score_gemma":0.9947254,"domain_scores_codex":[0.9952404,0.0003616747,0.0005592829,0.0005227817,0.002156813,0.001159015],"domain_scores_gemma":[0.9636107,0.001344424,0.001072666,0.001091006,0.03094498,0.001936204],"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":[0.00002898892,0.000007865181,0.001447137,0.0002900268,0.00002734907,0.000007412905,0.00003499991,0.0001005883,0.0000107683,0.0003714147,0.995528,0.002145425],"study_design_scores_gemma":[0.000227111,0.00001894518,0.04216876,0.001411544,0.0001146358,0.00003823449,0.0008396581,0.0006015964,0.0002274693,0.0008045507,0.9534175,0.0001299761],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007612573,0.00006213117,0.00003198251,0.0001512975,0.00003738115,0.00002413453,0.9986082,0.00006434586,0.0009444704],"genre_scores_gemma":[0.001240863,0.0004301951,0.0006567942,0.0002373143,0.00002575594,0.0002444779,0.99151,0.0001513896,0.005503159],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08321735,"threshold_uncertainty_score":0.4161127,"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."}}