{"id":"W6976725306","doi":"10.6068/dp14ba8e373ad97","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: 15 years and over, Total population, Employment rate, Females, Immigrants, landed more than 10 years earlier | 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":"Hearing Impairment and Communication","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Census; Socioeconomic status; Population; Official statistics; Ethnic group; Diversity (politics); Population statistics; 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":[0.002629507,0.002313227,0.002754484,0.007410951,0.003338608,0.004507616,0.005213994,0.001300987,0.0819765],"category_scores_gemma":[0.01830883,0.001895008,0.002247146,0.03432899,0.0006001396,0.002316613,0.002292953,0.00331582,0.04113494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05535981,"about_ca_system_score_gemma":0.1519299,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955829,"about_ca_topic_score_gemma":0.9938997,"domain_scores_codex":[0.9955227,0.0003229867,0.0005171233,0.0005286336,0.002062514,0.001046074],"domain_scores_gemma":[0.9648978,0.001106211,0.001056733,0.0008575403,0.03027235,0.001809451],"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":[0.00003693908,0.00000994289,0.001664699,0.0002903611,0.00002718628,0.000008013633,0.00003217468,0.0001039071,0.00001207419,0.0003274115,0.9951189,0.002368577],"study_design_scores_gemma":[0.000263266,0.00002354007,0.05386427,0.00144343,0.0001230692,0.00004164692,0.0008072983,0.0005847889,0.0002300658,0.0007977919,0.9417017,0.0001191266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001013541,0.00007379716,0.00003623958,0.0001840175,0.00004857756,0.00003111954,0.998252,0.00006676848,0.001206128],"genre_scores_gemma":[0.001453311,0.0004961069,0.0006894544,0.0003051446,0.00003205388,0.0002590998,0.9890934,0.0001556133,0.007515864],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0819765,"threshold_uncertainty_score":0.4016654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02739950530192144,"score_gpt":0.2731880476065934,"score_spread":0.245788542304672,"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."}}