{"id":"W6920264140","doi":"10.6068/dp14ba8c76d4839","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: 15 years and over, Unemployment, High school graduate, some post-secondary, Both sexes, 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; Socioeconomic status; Descriptive statistics; Population; Ethnic group; Diversity (politics); Government (linguistics)","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":[0.002656664,0.002577116,0.002992311,0.007664612,0.003480921,0.004882279,0.005560849,0.001491091,0.08928242],"category_scores_gemma":[0.01912501,0.002070173,0.002464192,0.03708731,0.000624723,0.002382874,0.002482774,0.003382654,0.04777242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05408226,"about_ca_system_score_gemma":0.1504838,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954653,"about_ca_topic_score_gemma":0.993562,"domain_scores_codex":[0.995243,0.0003581154,0.0005538381,0.000561002,0.002145606,0.001138363],"domain_scores_gemma":[0.9631592,0.001271443,0.001103367,0.001018209,0.03159406,0.001853672],"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":[0.00003494263,0.000009152271,0.001352585,0.0002734589,0.00002736181,0.00000787028,0.0000268526,0.0001081345,0.00001121363,0.0003244921,0.9958181,0.002005957],"study_design_scores_gemma":[0.0002645405,0.00002103441,0.04020945,0.0013731,0.0001143947,0.00003890662,0.0006663611,0.000594722,0.0002390816,0.0008077993,0.9555485,0.0001222398],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007201594,0.00005739613,0.0000293028,0.000143164,0.00003928773,0.00002224731,0.9986361,0.00006198223,0.0009385115],"genre_scores_gemma":[0.001055155,0.0003498266,0.0005291349,0.0002429639,0.00002693971,0.0001934107,0.9915867,0.0001512973,0.005864664],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08928242,"threshold_uncertainty_score":0.3923961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734262773171324,"score_gpt":0.2397851471530193,"score_spread":0.2224425194213061,"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."}}