{"id":"W6901411813","doi":"10.6068/dp14ba8db250c25","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Labor - Employment and Unemployment | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, country of birth, sex and age group | Variable: 15 years and over, Latin America, Participation rate, Males, Immigrants, landed more than 5 to 10 years earlier | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-136.","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; Economic statistics; Immigration; Summary statistics; Socioeconomic status; General Social Survey; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023913,0.002377503,0.00269079,0.007988267,0.003472229,0.005042229,0.005257198,0.001423048,0.08885966],"category_scores_gemma":[0.01843161,0.001919816,0.002194073,0.03782951,0.0006115801,0.002444245,0.0025019,0.003066829,0.05021616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05270077,"about_ca_system_score_gemma":0.1426998,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957451,"about_ca_topic_score_gemma":0.9942015,"domain_scores_codex":[0.9954662,0.0003393113,0.0005076163,0.0005350094,0.002034415,0.001117263],"domain_scores_gemma":[0.9669966,0.001225182,0.00101827,0.0009252668,0.02799023,0.001844474],"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":[0.00002698739,0.000007558519,0.00103405,0.0002371999,0.00002128355,0.000006630698,0.0000258849,0.00009569495,0.000008824491,0.0003519501,0.9963161,0.001867782],"study_design_scores_gemma":[0.0001849309,0.00001630243,0.03031876,0.001058512,0.00008595437,0.00003364539,0.000641067,0.000533797,0.0002004795,0.0006931118,0.9661255,0.0001078227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006552084,0.00006042836,0.00002909802,0.0001421399,0.00003377078,0.00001917774,0.9986059,0.00006899437,0.0009750843],"genre_scores_gemma":[0.0009956617,0.0003762994,0.0005160451,0.0002110664,0.00002293875,0.0001596104,0.9920421,0.0001443757,0.00553187],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9111403,"threshold_uncertainty_score":0.3823727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01776430083357777,"score_gpt":0.2534982360598482,"score_spread":0.2357339352262704,"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."}}