{"id":"W6938997007","doi":"10.6068/dp14ba8ccd17513","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Education, Training and Skills | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, educational attainment, sex and age group | Variable: 15 years and over, Unemployment rate, Post-secondary certificate or diploma, Males, Born in Canada | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-089.","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; Socioeconomic status; Population; Ethnic group; Population statistics; Official statistics; Statistics education; Unemployment","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":[0.002777613,0.00256164,0.002916926,0.008601085,0.003570176,0.005294846,0.005393746,0.001516326,0.08463235],"category_scores_gemma":[0.02164657,0.001987438,0.0024347,0.04009787,0.0007066574,0.002556187,0.002629698,0.003261353,0.04624888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05714222,"about_ca_system_score_gemma":0.1667531,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955761,"about_ca_topic_score_gemma":0.9935691,"domain_scores_codex":[0.9948748,0.0003810741,0.0006078772,0.0005897861,0.002380721,0.00116566],"domain_scores_gemma":[0.960594,0.001469687,0.001129601,0.00115261,0.03371063,0.001943468],"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":[0.00003014581,0.000007883853,0.001196434,0.0002847424,0.00002681183,0.000007506886,0.00002731453,0.0001124963,0.00001100547,0.0003726756,0.9959043,0.002018796],"study_design_scores_gemma":[0.0002038671,0.00001663212,0.0302692,0.001308635,0.000107172,0.00003542689,0.0006136849,0.0005363509,0.0002097722,0.0008007007,0.9657849,0.0001135817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006313081,0.00006764381,0.00003299933,0.0001646851,0.00004322904,0.00002178782,0.9985704,0.00006959048,0.0009665879],"genre_scores_gemma":[0.001059187,0.0004474013,0.0006265488,0.0002568748,0.00002762447,0.0001879544,0.9918985,0.0001609691,0.00533482],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08463235,"threshold_uncertainty_score":0.4145977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03235835907030227,"score_gpt":0.2615397844552471,"score_spread":0.2291814253849448,"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."}}