{"id":"W6920488346","doi":"10.6068/dp14ba8d5369b99","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, country of birth, sex and age group | Variable: 25 to 54 years, Latin America, Unemployment, Males, Immigrants, landed more than 10 years earlier | 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; Ethnic group; Population statistics; Diversity (politics); American Community Survey","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":[0.00257271,0.00242202,0.002851311,0.007395939,0.003256948,0.004647562,0.005376425,0.00138092,0.08666698],"category_scores_gemma":[0.01860131,0.002001409,0.002323794,0.03538645,0.0005891263,0.002433166,0.002350242,0.003402194,0.04534108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.051423,"about_ca_system_score_gemma":0.1433316,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947674,"about_ca_topic_score_gemma":0.9926836,"domain_scores_codex":[0.9954801,0.0003359123,0.0005416613,0.000533534,0.002045121,0.0010637],"domain_scores_gemma":[0.9650773,0.001151948,0.001073665,0.0008856252,0.03004968,0.001761805],"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":[0.0000340943,0.000009184182,0.0014318,0.0002748398,0.00002527061,0.00000731305,0.00002780743,0.0000980262,0.000010549,0.0003194658,0.9956915,0.002070233],"study_design_scores_gemma":[0.0002730202,0.00002266574,0.04694007,0.001460739,0.0001168019,0.00004119466,0.000760268,0.0005497888,0.0002208663,0.0008036466,0.9486939,0.0001169725],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000856105,0.00006790287,0.00003115162,0.0001733698,0.00004622063,0.00002709434,0.9984325,0.0000604954,0.001075706],"genre_scores_gemma":[0.001245147,0.0004660625,0.0005912673,0.0002874623,0.00003107154,0.0002401532,0.9901016,0.0001503091,0.006886999],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.913333,"threshold_uncertainty_score":0.3731017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02097580244083443,"score_gpt":0.2469407686922756,"score_spread":0.2259649662514411,"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."}}