{"id":"W6901521060","doi":"10.6068/dp14ba8b8aa5c77","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, Post-secondary certificate or diploma, Males, Landed immigrants | 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; Statistics education; Population; Ethnic group; Economic statistics; Citizenship; Social 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":[0.00254465,0.002272817,0.002641162,0.007891499,0.003247639,0.004444717,0.005196233,0.001320143,0.07697698],"category_scores_gemma":[0.01875317,0.001781926,0.002213988,0.03609706,0.0006206642,0.002058271,0.00253265,0.002906486,0.03907667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05018769,"about_ca_system_score_gemma":0.1320602,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951029,"about_ca_topic_score_gemma":0.9933833,"domain_scores_codex":[0.9958377,0.0003323547,0.0005122198,0.0004952742,0.001829362,0.0009930431],"domain_scores_gemma":[0.9691969,0.001228325,0.001031101,0.001020855,0.02578259,0.001740307],"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":[0.00002644042,0.00000747749,0.001337052,0.0002575474,0.00002496693,0.000006654398,0.0000299978,0.0001015205,0.000009770918,0.0003514526,0.9960789,0.00176821],"study_design_scores_gemma":[0.0002321504,0.00001750201,0.03915886,0.001217503,0.0001018967,0.00003570835,0.0007315588,0.0005928159,0.0002065547,0.000783195,0.9568118,0.0001103714],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006783257,0.0000489865,0.00002568145,0.0001179747,0.00002849243,0.0000181531,0.9989293,0.00005147036,0.0007120344],"genre_scores_gemma":[0.0009765977,0.0002893539,0.0004451168,0.0001651217,0.00001922032,0.0001766305,0.9937866,0.0001056286,0.004035795],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07697698,"threshold_uncertainty_score":0.3641389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.040393732609854,"score_gpt":0.269813898528584,"score_spread":0.22942016591873,"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."}}