{"id":"W6939191905","doi":"10.6068/dp14ba8b70bc25","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Labor - Employment and Unemployment | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, educational attainment, sex and age group | Variable: 15 years and over, Employment rate, Total, all education levels, Females, Total population | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-136.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Census; Official statistics; Socioeconomic status; Economic statistics; Immigration; Population; Current Population Survey; Statistics education; Discouraged worker","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":[0.002263037,0.002279221,0.00266495,0.007697279,0.003591503,0.005039735,0.005162297,0.001405006,0.08774048],"category_scores_gemma":[0.01784063,0.001801013,0.002170263,0.03647592,0.0006257872,0.00245252,0.002464574,0.002964235,0.05160287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05321181,"about_ca_system_score_gemma":0.1414292,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995967,"about_ca_topic_score_gemma":0.9945806,"domain_scores_codex":[0.995821,0.0002993559,0.0004644458,0.0005079517,0.00187109,0.001036099],"domain_scores_gemma":[0.9687583,0.001134691,0.0009202416,0.0009025385,0.0265423,0.001742053],"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":[0.0000267789,0.000006887964,0.001080204,0.0002391653,0.00002047689,0.000006823805,0.00002715577,0.0000967623,0.000009675948,0.0003406398,0.9962825,0.001862968],"study_design_scores_gemma":[0.0001764684,0.00001432743,0.02867585,0.001029097,0.00007847946,0.00003144177,0.0006134843,0.0005355459,0.0001972225,0.0007109359,0.9678324,0.0001046919],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000613002,0.00005422931,0.00002775987,0.0001335595,0.00003039588,0.00001726764,0.9986768,0.00006967632,0.0009289712],"genre_scores_gemma":[0.0009781563,0.0003371664,0.0005193636,0.0001983769,0.00002086769,0.0001487898,0.9927679,0.0001473404,0.00488217],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08774048,"threshold_uncertainty_score":0.3860805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02751146481162218,"score_gpt":0.2743480699476329,"score_spread":0.2468366051360108,"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."}}