{"id":"W6976304823","doi":"10.6068/dp14ba8bb8a3d86","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, High school graduate, some post-secondary, Males, 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; Ethnic group; Economic statistics; Citizenship; 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":[0.002419814,0.0023661,0.002702013,0.007868848,0.003418442,0.004572401,0.005348347,0.001400339,0.07294318],"category_scores_gemma":[0.01900443,0.001764613,0.002302844,0.03552754,0.0006507238,0.002029834,0.002555057,0.002994829,0.03734566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05052938,"about_ca_system_score_gemma":0.1303765,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9950647,"about_ca_topic_score_gemma":0.9934974,"domain_scores_codex":[0.9959688,0.0003230178,0.000501044,0.0004890002,0.00175387,0.0009642582],"domain_scores_gemma":[0.9690714,0.001265923,0.001000366,0.001065584,0.02592436,0.001672252],"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":[0.00002646431,0.000007067027,0.001279225,0.0002512342,0.00002551452,0.000007128094,0.0000282218,0.0001075133,0.000009637038,0.0003458654,0.9962121,0.001699963],"study_design_scores_gemma":[0.0002351124,0.000016161,0.03571197,0.001258744,0.0001053721,0.00003827431,0.0007061776,0.0006195069,0.000207525,0.000826363,0.9601603,0.0001144872],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000622752,0.00004918985,0.00002434556,0.0001136809,0.00002839761,0.00001579219,0.9990176,0.00005052669,0.0006383183],"genre_scores_gemma":[0.0009124224,0.0002805448,0.0004130988,0.0001485521,0.00001863591,0.0001526952,0.9946839,0.00009756708,0.003292546],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07294318,"threshold_uncertainty_score":0.366618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02401770791704747,"score_gpt":0.248518300706852,"score_spread":0.2245005927898046,"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."}}