{"id":"W6976694026","doi":"10.6068/dp14ba8b083d02","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 rate, No degree, certificate or diploma, Males, 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; Official statistics; Socioeconomic status; Census; Descriptive statistics; 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":[0.00262536,0.002549233,0.002933996,0.007848756,0.003383134,0.004946005,0.005538098,0.001475949,0.0963508],"category_scores_gemma":[0.01874994,0.002014038,0.002399648,0.03761664,0.0006072142,0.002384971,0.002481425,0.003312248,0.05197112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05139875,"about_ca_system_score_gemma":0.1400826,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946085,"about_ca_topic_score_gemma":0.992657,"domain_scores_codex":[0.9953972,0.000340739,0.0005261885,0.0005533673,0.002077732,0.001104859],"domain_scores_gemma":[0.9651145,0.00125484,0.0010653,0.001009261,0.02974253,0.001813602],"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":[0.00003138049,0.000008414614,0.001160378,0.0002493707,0.00002403113,0.000006889732,0.00002466289,0.00009952539,0.00001009317,0.0003051003,0.9962436,0.00183643],"study_design_scores_gemma":[0.0002470206,0.0000193511,0.03528387,0.001235085,0.000102716,0.00003454638,0.0006022135,0.0005388032,0.0002183701,0.0007829012,0.9608225,0.0001125765],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006370459,0.0000493824,0.0000268729,0.0001295082,0.00003654976,0.00002113448,0.9987067,0.0000599251,0.0009062705],"genre_scores_gemma":[0.0008637217,0.0002932745,0.0004590068,0.0002090969,0.00002433578,0.0001828583,0.9925482,0.0001391343,0.005280442],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0963508,"threshold_uncertainty_score":0.3729258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04022983667549221,"score_gpt":0.2601621341359625,"score_spread":0.2199322974604702,"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."}}