{"id":"W6938991030","doi":"10.6068/dp14ba8d6c59065","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: 55 years and over, Part-time employment, Both sexes, Immigrants, landed more than 10 years earlier | 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":[0.002766082,0.00242862,0.00289524,0.007606485,0.003432327,0.004765112,0.005471625,0.001409645,0.09377123],"category_scores_gemma":[0.01957108,0.002115957,0.002337944,0.03607455,0.0006065247,0.002445347,0.002374479,0.003448892,0.04750628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05552243,"about_ca_system_score_gemma":0.1530324,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952714,"about_ca_topic_score_gemma":0.9931727,"domain_scores_codex":[0.9952158,0.0003562298,0.0005860446,0.0005721022,0.002172776,0.001097085],"domain_scores_gemma":[0.9626909,0.001246327,0.001106842,0.0009566699,0.03214544,0.00185368],"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":[0.00003511316,0.000009624006,0.001427439,0.000284214,0.00002504729,0.000007426474,0.00002938592,0.00009560507,0.00001105308,0.0003203629,0.9954791,0.002275561],"study_design_scores_gemma":[0.0002801271,0.00002352729,0.04787391,0.001525611,0.0001190208,0.00004015091,0.0007574963,0.0005498018,0.0002177952,0.0008033242,0.9476908,0.0001184084],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008787404,0.00007157734,0.0000344544,0.000175288,0.00005021961,0.00003133182,0.9982575,0.00006656356,0.001225191],"genre_scores_gemma":[0.001312484,0.0004941136,0.0006492337,0.0003075943,0.00003301854,0.0002689356,0.9888684,0.0001716827,0.007894568],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09377123,"threshold_uncertainty_score":0.4028453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02042171569888804,"score_gpt":0.2442098996881627,"score_spread":0.2237881839892747,"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."}}