{"id":"W6957985003","doi":"10.6068/dp14ba84f28b168","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, Part-time employment, Females, Born in Canada | 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; Descriptive statistics; Socioeconomic status; Population; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002545732,0.00248495,0.002820209,0.008056864,0.003572598,0.004942129,0.005367057,0.00138482,0.1005697],"category_scores_gemma":[0.01914462,0.001966275,0.002363347,0.03857673,0.0006258446,0.002430153,0.002554952,0.003192532,0.05196735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05424015,"about_ca_system_score_gemma":0.1507361,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954555,"about_ca_topic_score_gemma":0.9937462,"domain_scores_codex":[0.995311,0.000341597,0.0005219463,0.0005530794,0.002119325,0.001153164],"domain_scores_gemma":[0.9643735,0.001233767,0.001073833,0.001077037,0.03033403,0.001907727],"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":[0.00003423699,0.000009067471,0.001425426,0.0002516424,0.00002564284,0.000007843681,0.00002904717,0.000105128,0.00001137401,0.0003405702,0.9955448,0.002215164],"study_design_scores_gemma":[0.0002284548,0.0000205078,0.03966714,0.001242776,0.0001011656,0.00003576985,0.0006695986,0.0005599424,0.0002331458,0.0008078237,0.9563185,0.0001151805],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007779552,0.00005215498,0.00003202779,0.0001352062,0.00003629623,0.00002342696,0.9984926,0.00007188627,0.001078557],"genre_scores_gemma":[0.001061814,0.0003270087,0.0005450229,0.0002063369,0.00002414989,0.0001889431,0.9914514,0.0001628237,0.006032572],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1005697,"threshold_uncertainty_score":0.3935417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02225395898296748,"score_gpt":0.237795566871787,"score_spread":0.2155416078888195,"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."}}