{"id":"W6976593359","doi":"10.6068/dp14ba84f85132","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, sex and detailed age group | Variable: 25 to 54 years, Participation rate, Females, Total population | 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":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Unemployment; Official statistics; Census; Population; Descriptive statistics; Socioeconomic status; Ethnic group; Diversity (politics)","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":[0.002519706,0.002297074,0.002682766,0.007845586,0.003428787,0.004612251,0.005221372,0.001317593,0.09586212],"category_scores_gemma":[0.01800293,0.001816111,0.002293648,0.03665146,0.0005859648,0.002225548,0.00250357,0.00296735,0.04767194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05523193,"about_ca_system_score_gemma":0.154285,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955089,"about_ca_topic_score_gemma":0.9938637,"domain_scores_codex":[0.9955477,0.0003232848,0.0005155415,0.0005077357,0.002022103,0.001083696],"domain_scores_gemma":[0.9660165,0.001140421,0.001010708,0.0009684473,0.0289819,0.001882022],"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":[0.00003263985,0.000008283034,0.001306304,0.0002608673,0.00002403143,0.000007821798,0.00002886237,0.00009840395,0.00001116546,0.0003515175,0.9955966,0.002273463],"study_design_scores_gemma":[0.0002106554,0.0000186934,0.03803021,0.001304133,0.0001003978,0.00003555994,0.0006524112,0.0005460499,0.0002215506,0.0007635512,0.9580076,0.0001090815],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008130461,0.00005893318,0.00003279134,0.0001508602,0.00003688148,0.00002488634,0.9983363,0.00007092494,0.001207085],"genre_scores_gemma":[0.001181728,0.0003782428,0.0006080106,0.0002324214,0.00002460134,0.0002091961,0.9905409,0.0001611795,0.006663647],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09586212,"threshold_uncertainty_score":0.4007376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01711598831158284,"score_gpt":0.2335340268958642,"score_spread":0.2164180385842814,"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."}}