{"id":"W6901563772","doi":"10.6068/dp14ba8c3059277","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Integration of Newcomers | 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, Unemployment, Females, Immigrants, landed 5 or less years earlier | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-093.","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; Official statistics; Socioeconomic status; Census; Economic statistics; Population; Ethnic group; Citizenship; Diversity (politics); Population 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":[0.002705793,0.002371369,0.00277245,0.008137495,0.003469139,0.004660522,0.005389192,0.001292378,0.07947096],"category_scores_gemma":[0.01840803,0.001888067,0.002436176,0.0364858,0.0006415093,0.002134607,0.00248037,0.002957613,0.03814267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05836346,"about_ca_system_score_gemma":0.1576827,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9965746,"about_ca_topic_score_gemma":0.9952995,"domain_scores_codex":[0.9954078,0.0003449654,0.0005478722,0.000498542,0.002102918,0.001097904],"domain_scores_gemma":[0.9655831,0.001198522,0.001054073,0.0009583908,0.02933182,0.00187411],"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":[0.00003258103,0.000009067492,0.001677818,0.000293597,0.00002885763,0.000007893594,0.00003650866,0.0001076995,0.00001165064,0.0003663025,0.9952385,0.002189402],"study_design_scores_gemma":[0.0002515585,0.00002210159,0.05023608,0.001365019,0.0001203471,0.0000408413,0.00089914,0.0006730501,0.0002462012,0.0007653923,0.9452537,0.0001266145],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009779428,0.00006570583,0.00003124189,0.0001582948,0.00003824201,0.00002465027,0.9985103,0.00006396159,0.001009909],"genre_scores_gemma":[0.001411305,0.0004025364,0.0005919189,0.0002315212,0.00002647506,0.0002233353,0.9908422,0.0001421,0.006128582],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07947096,"threshold_uncertainty_score":0.4234585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03572059630393622,"score_gpt":0.2612511549268701,"score_spread":0.2255305586229339,"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."}}