{"id":"W6976474074","doi":"10.6068/dp14ba8825adc87","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, 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: 075-001-092.","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; Census; Population; Socioeconomic status; Official statistics; Population statistics; Diversity (politics); Ethnic group; 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":[0.002773402,0.002390269,0.00294924,0.007598549,0.003359952,0.004970837,0.005536254,0.001413287,0.0934046],"category_scores_gemma":[0.02028829,0.001979272,0.002303892,0.03618829,0.0006015977,0.002451885,0.002473097,0.0033801,0.04966195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04889505,"about_ca_system_score_gemma":0.1371999,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941481,"about_ca_topic_score_gemma":0.9918275,"domain_scores_codex":[0.9954137,0.0003552336,0.0005690609,0.0005675837,0.002004364,0.001090077],"domain_scores_gemma":[0.9643018,0.001319536,0.001098257,0.001038839,0.03041793,0.001823596],"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":[0.00003476017,0.000009315031,0.00140648,0.0002774175,0.00002474756,0.000007360817,0.00003023002,0.00009541357,0.00001028121,0.0003044549,0.9957331,0.002066391],"study_design_scores_gemma":[0.0002829284,0.00002148317,0.04251314,0.001491398,0.000107344,0.00003696082,0.0007392269,0.0005669647,0.0002049283,0.0008498045,0.9530708,0.00011511],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007078663,0.00005054498,0.00002963737,0.0001377313,0.00003761971,0.00002572958,0.9986972,0.00005942118,0.000891328],"genre_scores_gemma":[0.001032887,0.0003469561,0.0005459328,0.0002231754,0.00002568445,0.0002419491,0.9922134,0.0001434978,0.005226398],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0934046,"threshold_uncertainty_score":0.3547601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0316062849504086,"score_gpt":0.2645442998275523,"score_spread":0.2329380148771437,"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."}}