{"id":"W6957612600","doi":"10.6068/dp14ba86a52c832","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, Employment, University degree, 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; Census; Official statistics; Socioeconomic status; 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":[0.002511197,0.002547617,0.003001415,0.007987005,0.003577225,0.004934528,0.005519839,0.001449732,0.09231438],"category_scores_gemma":[0.01846827,0.001969598,0.002466129,0.03759021,0.0006132401,0.002354556,0.002530267,0.003279929,0.04656898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05248152,"about_ca_system_score_gemma":0.1444223,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951687,"about_ca_topic_score_gemma":0.9936872,"domain_scores_codex":[0.995469,0.0003231064,0.0005258051,0.0005305692,0.002045469,0.001106027],"domain_scores_gemma":[0.9662699,0.001159353,0.00106201,0.0009725483,0.02871582,0.001820439],"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":[0.00003465843,0.000009285791,0.00155328,0.0002777003,0.00002828585,0.000008199114,0.0000288657,0.0001071319,0.00001153873,0.0003217082,0.9955929,0.00202635],"study_design_scores_gemma":[0.0002730458,0.00002198782,0.04596813,0.001365804,0.0001192754,0.00004074476,0.0006998653,0.0006045034,0.0002464731,0.0008310036,0.9497033,0.0001258516],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007521347,0.00005222211,0.00002819072,0.0001320682,0.00003572396,0.00002262129,0.9987057,0.00005997782,0.0008881642],"genre_scores_gemma":[0.001034247,0.0003221055,0.0004937995,0.0002056472,0.00002483304,0.0001891965,0.9925633,0.0001343849,0.005032524],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09231438,"threshold_uncertainty_score":0.3807818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0229100433812183,"score_gpt":0.2377892035698434,"score_spread":0.2148791601886251,"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."}}