{"id":"W6939083530","doi":"10.6068/dp14ba8b6739942","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, educational attainment, sex and age group | Variable: 15 years and over, Population, Post-secondary certificate or diploma, Males, Landed immigrants | 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":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Unemployment; Official statistics; Socioeconomic status; Descriptive statistics; Census; Population; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002683306,0.002540683,0.002887478,0.007657391,0.003322052,0.004853332,0.005497632,0.00146009,0.09583129],"category_scores_gemma":[0.01881334,0.001942975,0.002385025,0.03694066,0.0005970055,0.002378934,0.002503478,0.003254416,0.05390543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04912408,"about_ca_system_score_gemma":0.1342313,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942871,"about_ca_topic_score_gemma":0.9922143,"domain_scores_codex":[0.9954807,0.0003438247,0.0005131583,0.0005457585,0.002030254,0.001086346],"domain_scores_gemma":[0.9667711,0.001214057,0.001033405,0.001008921,0.02822169,0.001750746],"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":[0.00002922138,0.00000805619,0.001130922,0.0002360447,0.00002254311,0.000006573101,0.00002397942,0.00009465631,0.000009644848,0.0003071615,0.9963683,0.001762954],"study_design_scores_gemma":[0.000231557,0.00001827397,0.03336222,0.001167101,0.00009225744,0.00003278791,0.000568025,0.0005228784,0.0002074176,0.0007710732,0.9629216,0.000104851],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006014842,0.00004662725,0.0000260142,0.0001214344,0.00003438655,0.00002030245,0.9987624,0.0000565372,0.0008722577],"genre_scores_gemma":[0.0007895525,0.0002614652,0.0004293408,0.0001916452,0.00002178527,0.0001731231,0.993003,0.0001271261,0.005002984],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9041687,"threshold_uncertainty_score":0.3564218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02796220859992432,"score_gpt":0.2576416270165987,"score_spread":0.2296794184166743,"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."}}