{"id":"W6976466225","doi":"10.6068/dp14ba8c4c5f366","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, sex and detailed age group | Variable: 15 years and over, Labour force, Both sexes, Immigrants, landed 5 or less 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; Population; Socioeconomic status; Official statistics; Population statistics; Diversity (politics); Ethnic group; Current Population 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":[0.002696879,0.002391502,0.002827594,0.007499527,0.003361008,0.004757058,0.005376088,0.001393228,0.09613147],"category_scores_gemma":[0.01927043,0.002069487,0.002248471,0.03540244,0.0005934267,0.00241077,0.002350126,0.003377136,0.04767801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05423916,"about_ca_system_score_gemma":0.1451391,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951527,"about_ca_topic_score_gemma":0.9930874,"domain_scores_codex":[0.9953673,0.0003508668,0.0005628226,0.0005630465,0.002081684,0.001074334],"domain_scores_gemma":[0.964627,0.00122209,0.001074379,0.0009399867,0.03031747,0.001819086],"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":[0.00003426753,0.000009404923,0.001393107,0.0002731083,0.0000244217,0.000007149554,0.00002950766,0.00009323634,0.0000104337,0.0003247869,0.9955949,0.002205619],"study_design_scores_gemma":[0.0002819677,0.00002348657,0.04805101,0.00147535,0.0001154754,0.00004033999,0.0007507805,0.0005702623,0.0002146219,0.0008195891,0.9475403,0.0001167485],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008450914,0.00006489683,0.00003336578,0.0001607373,0.00004485332,0.00002970049,0.9983705,0.00006438474,0.001147138],"genre_scores_gemma":[0.001239189,0.0004457622,0.0006087045,0.0002749211,0.00003074066,0.0002512946,0.989716,0.00016119,0.007272307],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09613147,"threshold_uncertainty_score":0.3935344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02294895287886536,"score_gpt":0.2466258929101814,"score_spread":0.2236769400313161,"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."}}