{"id":"W6901695434","doi":"10.6068/dp14ba8b08a175","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: 25 to 54 years, Population, No degree, certificate or diploma, Males, Landed immigrants | 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; Immigration; Economic statistics; Socioeconomic status; Summary statistics; General Social Survey; Discouraged worker; Statistical analysis","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":[0.002450958,0.002316456,0.002703919,0.008135479,0.003722851,0.005083991,0.005198829,0.001403892,0.09201508],"category_scores_gemma":[0.01882895,0.001901766,0.002236368,0.03819593,0.0006325464,0.002429466,0.002435786,0.002992603,0.04920263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05932132,"about_ca_system_score_gemma":0.1621027,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9964967,"about_ca_topic_score_gemma":0.9951492,"domain_scores_codex":[0.9952642,0.0003332813,0.000534361,0.0005473138,0.002177331,0.001143505],"domain_scores_gemma":[0.9646693,0.001235632,0.001050927,0.0009507272,0.03017005,0.001923352],"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":[0.00003035758,0.000008018377,0.001243384,0.0002726534,0.0000233609,0.000007420852,0.00003136823,0.0001077846,0.00001077512,0.0003782252,0.9957365,0.002150159],"study_design_scores_gemma":[0.0001854765,0.00001684545,0.0336405,0.001122596,0.00009023634,0.00003251663,0.0006875534,0.0005512687,0.0002071034,0.0007082681,0.9626473,0.0001103483],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007265849,0.00006417173,0.00003181712,0.0001552963,0.00003585219,0.00002195054,0.998444,0.00007255006,0.001101678],"genre_scores_gemma":[0.001213333,0.0004251584,0.0006181345,0.0002393637,0.00002454721,0.0001846443,0.9907674,0.0001633359,0.006363973],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09201508,"threshold_uncertainty_score":0.4304083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04181505695568535,"score_gpt":0.2751817672203792,"score_spread":0.2333667102646939,"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."}}