{"id":"W6920362835","doi":"10.6068/dp14ba8d716bb98","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Immigrants and Nonpermanent Residents | 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: 075-001-092.","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; Official statistics; Population statistics; Nationality; Unemployment; Ethnic group","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":[0.002604457,0.002441717,0.002887207,0.007666807,0.003351083,0.004697079,0.005347054,0.001374523,0.08339556],"category_scores_gemma":[0.01834634,0.002029984,0.00234146,0.03634081,0.0006172762,0.002345722,0.002321199,0.003392979,0.04254289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05620487,"about_ca_system_score_gemma":0.1585814,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995575,"about_ca_topic_score_gemma":0.9936507,"domain_scores_codex":[0.9953761,0.0003296954,0.0005542852,0.0005536451,0.002113953,0.001072419],"domain_scores_gemma":[0.9642501,0.001140677,0.001073758,0.0009119402,0.03081481,0.001808753],"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":[0.00003801367,0.000009982393,0.00159094,0.0003039535,0.00002838449,0.000008219424,0.00003038102,0.0001108458,0.00001244079,0.0003253741,0.995185,0.00235652],"study_design_scores_gemma":[0.0002766651,0.00002352625,0.04960819,0.001534386,0.0001280927,0.00004215525,0.0007519226,0.000588914,0.0002324175,0.0007809488,0.9459134,0.0001194463],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009374026,0.00007513781,0.00003390889,0.0001779807,0.00004918423,0.00002897445,0.9983351,0.00006707042,0.001138967],"genre_scores_gemma":[0.001414636,0.0005204434,0.0006609636,0.0003065218,0.00003285275,0.0002448064,0.9894511,0.0001636835,0.007205009],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08339556,"threshold_uncertainty_score":0.4077968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03194210784867076,"score_gpt":0.2588078365476921,"score_spread":0.2268657286990214,"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."}}