{"id":"W6901645254","doi":"10.6068/dp14ba8d2587d1","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: 15 years and over, Part-time employment, Both sexes, Immigrants, landed 5 or less 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; Current Population 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":[0.002776952,0.002432346,0.002892583,0.007597146,0.003441797,0.004766838,0.005468004,0.001409167,0.09486102],"category_scores_gemma":[0.01950146,0.002117312,0.002336274,0.03594925,0.0006069341,0.002446491,0.002374074,0.00345719,0.04798574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05585977,"about_ca_system_score_gemma":0.1541018,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953538,"about_ca_topic_score_gemma":0.9932631,"domain_scores_codex":[0.9951788,0.0003580872,0.0005835723,0.0005756067,0.002201048,0.001102964],"domain_scores_gemma":[0.9627362,0.001234718,0.001094337,0.0009518244,0.0321378,0.001845116],"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":[0.00003454817,0.000009569182,0.00140796,0.0002808579,0.00002476994,0.000007348164,0.0000293472,0.0000955271,0.00001103221,0.0003242829,0.9954919,0.00228292],"study_design_scores_gemma":[0.0002740461,0.00002326685,0.04744701,0.00150239,0.000117152,0.00003959938,0.0007511852,0.0005484745,0.0002163902,0.0007993664,0.9481642,0.0001168572],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008846709,0.00007238192,0.00003518816,0.0001773382,0.00005062946,0.00003156603,0.9982174,0.00006761248,0.001259359],"genre_scores_gemma":[0.001329295,0.0005024339,0.0006656523,0.000310179,0.00003325078,0.0002705102,0.9885095,0.0001754719,0.008203615],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09486102,"threshold_uncertainty_score":0.4052929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02650378836217453,"score_gpt":0.2492172480034529,"score_spread":0.2227134596412783,"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."}}