{"id":"W6901563162","doi":"10.6068/dp14ba8b6fd4199","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, Unemployment, Post-secondary certificate or diploma, Females, Total population | 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; Population; Official statistics; Socioeconomic status; Descriptive statistics; Census; Ethnic group; Population statistics","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":[0.002584832,0.002539631,0.002882306,0.007604728,0.003294872,0.004777849,0.005473805,0.001461672,0.09628975],"category_scores_gemma":[0.0184405,0.001932045,0.002394186,0.03599482,0.0005853645,0.002362264,0.002507712,0.00324394,0.0538371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04810473,"about_ca_system_score_gemma":0.1302401,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940352,"about_ca_topic_score_gemma":0.9918821,"domain_scores_codex":[0.9956219,0.0003272257,0.0004988307,0.0005294723,0.001955759,0.001066854],"domain_scores_gemma":[0.9674658,0.001200944,0.001036826,0.0009750958,0.02758755,0.001733813],"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":[0.00002864756,0.000007856388,0.001131455,0.0002372653,0.00002215481,0.000006755703,0.00002393415,0.00009629717,0.000009692096,0.0003012955,0.9964141,0.001720664],"study_design_scores_gemma":[0.0002368667,0.00001870711,0.03375452,0.001209252,0.00009186865,0.00003456843,0.0005686224,0.0005453567,0.0002138334,0.0007740142,0.9624449,0.0001075791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006028627,0.00004520666,0.00002548758,0.0001214367,0.00003341093,0.00001975899,0.9987789,0.00005681856,0.0008587014],"genre_scores_gemma":[0.0007971931,0.000255947,0.0004182328,0.0001919939,0.0000216652,0.0001710024,0.9931591,0.0001272577,0.00485754],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09628975,"threshold_uncertainty_score":0.3490259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03597509359513416,"score_gpt":0.2679456746430027,"score_spread":0.2319705810478686,"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."}}