{"id":"W6901689676","doi":"10.6068/dp14ba8e6c2cc43","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: 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: 075-001-092.","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; Diversity (politics); Population statistics; 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":[],"consensus_categories":[],"category_scores_codex":[0.002683825,0.002346779,0.002881797,0.007393955,0.003254618,0.004580545,0.005378644,0.001353076,0.08543228],"category_scores_gemma":[0.01857466,0.001980346,0.002334991,0.03471012,0.0005912136,0.002369677,0.002310328,0.003363397,0.042284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05450564,"about_ca_system_score_gemma":0.1496634,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953362,"about_ca_topic_score_gemma":0.9933863,"domain_scores_codex":[0.9954261,0.0003422095,0.0005455001,0.0005300685,0.00209329,0.001062846],"domain_scores_gemma":[0.9631727,0.001157968,0.00107703,0.0008689477,0.03187582,0.001847493],"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":[0.00003821315,0.00001046165,0.001557178,0.0002987408,0.00002763893,0.000007667606,0.00003009804,0.00009947106,0.00001147498,0.0003253562,0.9952356,0.002358005],"study_design_scores_gemma":[0.0003022031,0.00002622917,0.0548795,0.0015104,0.0001327977,0.00004376153,0.0007975246,0.0005816431,0.000233524,0.0007968564,0.9405723,0.0001232955],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001013031,0.00007755744,0.00003608924,0.0001876952,0.00005229753,0.00003439622,0.9981984,0.00006949473,0.001242829],"genre_scores_gemma":[0.001420522,0.0005078767,0.0006815372,0.0003196458,0.00003367089,0.0002725448,0.9887881,0.0001616106,0.007814489],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08543228,"threshold_uncertainty_score":0.3954679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02166980942385717,"score_gpt":0.2544963192010871,"score_spread":0.2328265097772299,"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."}}