{"id":"W6958312801","doi":"10.6068/dp14ba8946e9b42","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: 25 to 54 years, Canada, Employment rate, Both sexes, Born in Canada | 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; Socioeconomic status; Population; Official statistics; Population statistics; Ethnic group; Diversity (politics); 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":[0.002641541,0.002469017,0.002912641,0.007702977,0.003293426,0.004920421,0.005536102,0.001422119,0.0929118],"category_scores_gemma":[0.02035896,0.002048813,0.002287005,0.03703084,0.0006105551,0.002452588,0.002458052,0.003390857,0.04841048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05032389,"about_ca_system_score_gemma":0.1378476,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942965,"about_ca_topic_score_gemma":0.9920516,"domain_scores_codex":[0.9954894,0.0003446369,0.0005561137,0.0005690397,0.001984411,0.00105642],"domain_scores_gemma":[0.9652263,0.001343252,0.001113741,0.001037875,0.02945008,0.00182888],"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":[0.00003177259,0.000008331161,0.001241546,0.000252605,0.00002412677,0.000006873256,0.00002657602,0.00009330355,0.000009825103,0.0003037745,0.9961358,0.001865489],"study_design_scores_gemma":[0.0002896556,0.00002036244,0.04038184,0.001445531,0.0001101116,0.00003918661,0.0006800164,0.0005534202,0.0002080704,0.0008514126,0.9553043,0.0001162097],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006684697,0.00005045056,0.00002862159,0.0001338736,0.00003668082,0.00002331891,0.9987251,0.00005786045,0.0008772995],"genre_scores_gemma":[0.0009315697,0.0003422383,0.0005001082,0.0002150983,0.00002509685,0.0002148435,0.9926549,0.0001387422,0.004977392],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0929118,"threshold_uncertainty_score":0.3651271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01794577277553583,"score_gpt":0.2356522787831001,"score_spread":0.2177065060075642,"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."}}