{"id":"W6939034623","doi":"10.6068/dp14ba8d43deb3","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, educational attainment, sex and age group | Variable: 25 to 54 years, Labour force, Total, all education levels, Females, Immigrants, landed 5 or less years earlier | 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":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Unemployment; Census; Official statistics; Socioeconomic status; Descriptive statistics; Population; Ethnic group; Diversity (politics); Government (linguistics)","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":[0.002723709,0.002611311,0.003019046,0.007951591,0.003354687,0.004801891,0.005696144,0.001460482,0.0867029],"category_scores_gemma":[0.0186864,0.00198534,0.002573808,0.0379318,0.0006072911,0.002327671,0.002449008,0.003378744,0.04782636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05411592,"about_ca_system_score_gemma":0.145487,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954531,"about_ca_topic_score_gemma":0.993869,"domain_scores_codex":[0.9952997,0.0003434625,0.0005332009,0.0005540054,0.002146746,0.001122886],"domain_scores_gemma":[0.9633134,0.001191617,0.00110258,0.0009985102,0.03157894,0.001815036],"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":[0.00003400888,0.000009093773,0.001442188,0.0002736919,0.0000281548,0.000007377155,0.00002707282,0.0001062149,0.00001115598,0.0003255551,0.9957187,0.002016841],"study_design_scores_gemma":[0.0002482863,0.00002069845,0.04273872,0.001308401,0.0001119876,0.00003593322,0.0006515675,0.0005689168,0.000221494,0.0007780247,0.9531973,0.0001187092],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007485785,0.00006080852,0.00002901171,0.0001470624,0.00004013889,0.00002247441,0.9986318,0.0000593379,0.0009344746],"genre_scores_gemma":[0.001060181,0.0003532078,0.0005184108,0.0002407244,0.00002736203,0.0001978452,0.9915303,0.0001394149,0.005932532],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0867029,"threshold_uncertainty_score":0.3926404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03208988810889742,"score_gpt":0.26869079483047,"score_spread":0.2366009067215726,"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."}}