{"id":"W6976652084","doi":"10.6068/dp14ba8c766d238","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, Population, High school graduate, some post-secondary, 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; Ethnic group; Statistics education; Population; Population statistics; Official statistics; 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":[0.002726045,0.002548932,0.00289001,0.00849793,0.003538396,0.0051739,0.005318775,0.001531573,0.08257218],"category_scores_gemma":[0.02172381,0.00198292,0.002414915,0.04001093,0.0007062751,0.002536885,0.002572379,0.003255391,0.04483041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05490648,"about_ca_system_score_gemma":0.1627002,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954295,"about_ca_topic_score_gemma":0.9933564,"domain_scores_codex":[0.9949793,0.0003701636,0.0006023024,0.0005858403,0.002321895,0.00114044],"domain_scores_gemma":[0.9615272,0.001470774,0.001125324,0.001148775,0.03286536,0.001862552],"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":[0.00002943196,0.000007771683,0.001224894,0.0002784078,0.00002683123,0.000007345938,0.0000265755,0.0001122709,0.00001083537,0.0003702168,0.995948,0.00195746],"study_design_scores_gemma":[0.0002081572,0.00001653251,0.03084683,0.001290017,0.0001083881,0.00003553242,0.000610054,0.0005459617,0.0002108362,0.0008096506,0.9652048,0.0001132028],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006191708,0.00006412761,0.00003231259,0.0001582754,0.00004190139,0.00002102063,0.9986497,0.00006590292,0.0009049582],"genre_scores_gemma":[0.001040765,0.0004255139,0.0006060506,0.000246919,0.00002680254,0.0001821212,0.9923693,0.0001509294,0.004951685],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08257218,"threshold_uncertainty_score":0.3983762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02046250310749485,"score_gpt":0.2478186059959985,"score_spread":0.2273561028885037,"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."}}