{"id":"W6976164172","doi":"10.6068/dp14ba8f229d760","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Education, Training and Learning - Educational Attainment | 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, Both sexes, Immigrants, landed more than 5 to 10 years earlier | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-070.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Educational attainment; Census; Statistics education; Official statistics; Immigration; Socioeconomic status; Unemployment; Certificate; Economic statistics","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":[0.002715582,0.002475157,0.002847843,0.008513026,0.003357016,0.004694262,0.005369117,0.001500271,0.09213418],"category_scores_gemma":[0.02057773,0.001925801,0.002387823,0.04157808,0.0006746256,0.002550798,0.002357575,0.003338977,0.04809874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05783265,"about_ca_system_score_gemma":0.1723848,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959187,"about_ca_topic_score_gemma":0.9940375,"domain_scores_codex":[0.9947878,0.0003923182,0.0006130313,0.0005922838,0.002439894,0.001174632],"domain_scores_gemma":[0.9592549,0.001409239,0.001121363,0.001029279,0.03526748,0.001917844],"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":[0.0000311131,0.00000787,0.001082139,0.0003216673,0.00002624404,0.000007062679,0.00002626703,0.0001086481,0.00001109997,0.0003908291,0.9959022,0.002084862],"study_design_scores_gemma":[0.0001934679,0.00001715389,0.02955896,0.001164009,0.0001000323,0.00003268566,0.0005690543,0.0004719149,0.0001865869,0.0007224131,0.966881,0.0001027856],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006553184,0.0000827657,0.00003570163,0.0001961312,0.00005217693,0.00002493174,0.9982213,0.00007229521,0.001249057],"genre_scores_gemma":[0.001275139,0.0005585207,0.0007103363,0.0003330155,0.00003369571,0.0002088969,0.989445,0.0001809637,0.007254455],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09213418,"threshold_uncertainty_score":0.4196073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02646104302006477,"score_gpt":0.269261514357883,"score_spread":0.2428004713378183,"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."}}