{"id":"W6976593359","doi":"10.6068/dp14ba84f85132","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Labor Market and Income | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, sex and detailed age group | Variable: 25 to 54 years, Participation rate, Females, Total population | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-094.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Unemployment; Official statistics; Census; Population; Descriptive statistics; Socioeconomic status; Ethnic group; Diversity (politics)","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":[0.0009529584,0.000577032,0.0008131852,0.000105204,0.0001964363,0.0003008313,0.0003857408,0.0003271828,0.000255838],"category_scores_gemma":[0.0001562758,0.0006013647,1.607592e-7,0.000289431,0.00007428456,0.0003934439,0.0004534452,0.0004441121,0.000003991256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002421907,"about_ca_system_score_gemma":0.0006567742,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9997549,"about_ca_topic_score_gemma":0.9997479,"domain_scores_codex":[0.9967225,0.0006943653,0.000620403,0.0007665122,0.0005591411,0.0006371377],"domain_scores_gemma":[0.997577,0.0007048813,0.0003283358,0.0008453627,0.00007292945,0.0004715238],"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":[0.00008582103,0.00001448091,0.00601746,0.0005047332,0.000200329,0.00008927338,0.00001982003,0.0003173185,0.00001670593,0.00003488901,0.9926276,0.00007161126],"study_design_scores_gemma":[0.0007768807,0.00006252826,0.02389472,0.00005145104,0.0001909793,0.00001944067,0.00006733307,0.03300515,1.478629e-8,1.297188e-7,0.9412997,0.0006316484],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004239538,0.004168903,0.0001006005,0.000001685321,0.0003179122,0.00073323,0.9941248,0.00008515309,0.00004373323],"genre_scores_gemma":[0.004045784,0.0006102595,0.0001284792,0.00005354281,0.00007757695,0.00002027661,0.9926558,0.0001452215,0.002263076],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05132783,"threshold_uncertainty_score":0.9996438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01711598831158284,"score_gpt":0.2335340268958642,"score_spread":0.2164180385842814,"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."}}