{"id":"W6939245601","doi":"10.6068/dp14ba8b4dbfc67","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: 15 years and over, Population, No degree, certificate or diploma, Both sexes, 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":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Socioeconomic status; Official statistics; Census; Statistics education; Population; 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":[],"consensus_categories":[],"category_scores_codex":[0.002484907,0.002309348,0.002666203,0.007966784,0.003363524,0.004496392,0.005346683,0.001382788,0.07560968],"category_scores_gemma":[0.01968654,0.001747281,0.002273197,0.0355301,0.0006344283,0.002003438,0.002571168,0.002990782,0.03692563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0512991,"about_ca_system_score_gemma":0.1315487,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949015,"about_ca_topic_score_gemma":0.9933344,"domain_scores_codex":[0.9959,0.0003363509,0.0005168653,0.0004919395,0.001789577,0.0009652384],"domain_scores_gemma":[0.9685982,0.001324083,0.00103018,0.001078416,0.02627525,0.00169388],"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":[0.00002599124,0.000007039659,0.001280296,0.0002576628,0.00002590602,0.000007067212,0.00002900172,0.0001078956,0.000009455252,0.0003585275,0.9961603,0.001730882],"study_design_scores_gemma":[0.0002416214,0.0000161542,0.03677162,0.001303443,0.0001085072,0.00003835989,0.0007103338,0.0006176085,0.0002030448,0.0008688276,0.9590052,0.0001153099],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000630168,0.00004911987,0.00002531678,0.0001150823,0.00002810502,0.00001682508,0.9989997,0.00004989386,0.0006529097],"genre_scores_gemma":[0.0009285478,0.0002854849,0.0004297433,0.000150899,0.00001878237,0.0001656562,0.994578,0.00009855888,0.003344291],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07560968,"threshold_uncertainty_score":0.3722028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04729794753736297,"score_gpt":0.2678758174262705,"score_spread":0.2205778698889076,"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."}}