{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00178663,0.001538897,0.002049409,0.000295631,0.0005923108,0.0007235473,0.001515069,0.0008730438,0.0007258093],"category_scores_gemma":[0.0001780442,0.001495322,6.475335e-7,0.0006784015,0.0006370746,0.0008801508,0.00236732,0.00114743,0.00001758635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003419471,"about_ca_system_score_gemma":0.003999634,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999708,"about_ca_topic_score_gemma":0.9999676,"domain_scores_codex":[0.9913727,0.001086428,0.001276685,0.002400454,0.002058523,0.001805184],"domain_scores_gemma":[0.9936076,0.001262382,0.001185932,0.002364219,0.0001183923,0.001461449],"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":[0.0009364459,0.0001108651,0.008473537,0.0009401817,0.0007739036,0.001396841,0.00004608261,0.000007372399,0.00002949813,0.00003550523,0.9871006,0.0001491857],"study_design_scores_gemma":[0.004322509,0.0001734307,0.01748434,0.0001428863,0.0009074696,0.0002209595,0.0005906513,0.002051467,6.016887e-8,7.034052e-7,0.9723468,0.001758696],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00156647,0.01775994,0.000007796395,0.000001842098,0.0003346377,0.001436687,0.9787406,0.0001199306,0.00003209962],"genre_scores_gemma":[0.0005120332,0.01608812,0.0001830943,0.0002095578,0.00009386506,0.00002425764,0.9731569,0.0005296525,0.009202559],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01475375,"threshold_uncertainty_score":0.999736,"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."}}