{"id":"W6920514520","doi":"10.6068/dp14ba8943a1420","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Labor Market and Income | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, country of birth, sex and age group | Variable: 25 to 54 years, Total population, Not in labour force, Females, Landed immigrants | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-094.","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; Unemployment; Official statistics; Census; Descriptive statistics; Socioeconomic status; Population; Ethnic group; Diversity (politics); Summary statistics","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":[0.0026896,0.002538868,0.00289153,0.007709015,0.003384034,0.004796579,0.005597219,0.001477255,0.09595521],"category_scores_gemma":[0.0194619,0.001965509,0.002421426,0.03659727,0.0005942111,0.002385785,0.002578314,0.003276187,0.05271164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04957635,"about_ca_system_score_gemma":0.1328661,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942942,"about_ca_topic_score_gemma":0.9923062,"domain_scores_codex":[0.9954417,0.0003449012,0.0005281763,0.0005412669,0.002033362,0.001110677],"domain_scores_gemma":[0.9647433,0.001268471,0.001114821,0.001041697,0.02998805,0.00184358],"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":[0.00002913635,0.0000080566,0.001168372,0.0002340181,0.00002235432,0.00000669478,0.00002464936,0.00009004633,0.000009523117,0.0002959912,0.9963943,0.001716809],"study_design_scores_gemma":[0.0002496626,0.00001978211,0.03670685,0.00125464,0.00009682499,0.00003572903,0.0006118906,0.0005322293,0.0002160193,0.0007930587,0.9593701,0.0001132721],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006279628,0.00004488627,0.00002538116,0.0001237027,0.00003390892,0.000021424,0.9987788,0.00005554594,0.0008536202],"genre_scores_gemma":[0.0008151944,0.0002544328,0.000426292,0.0001990898,0.00002206171,0.0001895858,0.9930118,0.0001267526,0.004954791],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09595521,"threshold_uncertainty_score":0.3597033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01869964980708255,"score_gpt":0.2415335688886558,"score_spread":0.2228339190815733,"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."}}