{"id":"W6976766931","doi":"10.6068/dp14ba8baf3c924","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, educational attainment, sex and age group | Variable: 25 to 54 years, Not in labour force, No degree, certificate or diploma, Females, Born in Canada | 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":"Biomedical and Chemical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Socioeconomic status; Official statistics; Census; Population; Statistics education; Economic statistics; Social statistics; Ethnic group; Citizenship","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002753641,0.002468935,0.002805303,0.008101895,0.003618913,0.004681116,0.005586973,0.001350577,0.07141148],"category_scores_gemma":[0.0187766,0.001943147,0.002512621,0.03552226,0.0006768404,0.002195559,0.002580891,0.003225153,0.03448048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06084391,"about_ca_system_score_gemma":0.1645586,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9968172,"about_ca_topic_score_gemma":0.9953489,"domain_scores_codex":[0.9953041,0.0003369315,0.0005246887,0.0005044616,0.002206645,0.001123178],"domain_scores_gemma":[0.963789,0.001188108,0.001111812,0.0009807629,0.0310341,0.001896112],"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":[0.00003514702,0.00001048313,0.002183802,0.0003167835,0.00003281324,0.000009035612,0.00004095621,0.0001293854,0.00001285258,0.0003832977,0.9945515,0.002294057],"study_design_scores_gemma":[0.0002893519,0.00002582357,0.0625063,0.001494828,0.0001333531,0.00004551087,0.001064643,0.0007439852,0.0002684201,0.0007899593,0.9324941,0.0001438182],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001130006,0.00006701055,0.00003297618,0.0001693539,0.00004351329,0.00002665361,0.9985422,0.00006253509,0.000942736],"genre_scores_gemma":[0.001659186,0.0004261822,0.0006136509,0.000250065,0.00002928829,0.0002468667,0.9906573,0.0001335503,0.005983895],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9285885,"threshold_uncertainty_score":0.4414555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07204605933106044,"score_gpt":0.2995143353759096,"score_spread":0.2274682760448491,"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."}}