{"id":"W6976489357","doi":"10.6068/dp14ba8db6db055","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Education, Training and Learning - Educational Attainment | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, educational attainment, sex and age group | Variable: 15 years and over, Not in labour force, University degree, Both sexes, Immigrants, landed more than 10 years earlier | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-070.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Educational attainment; Census; Statistics education; Immigration; Socioeconomic status; Official statistics; Economic statistics; Statistical analysis","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":[0.002735502,0.0024594,0.002856612,0.008358509,0.003379489,0.004686355,0.005371353,0.001526042,0.09075891],"category_scores_gemma":[0.02089316,0.001943366,0.002321918,0.04052847,0.0006684838,0.002466043,0.002355414,0.003330079,0.0483059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05695947,"about_ca_system_score_gemma":0.1674596,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954904,"about_ca_topic_score_gemma":0.9935033,"domain_scores_codex":[0.9948731,0.0003933868,0.0006088761,0.0006008839,0.002399009,0.001124668],"domain_scores_gemma":[0.9601177,0.001422501,0.001128743,0.001067891,0.03439986,0.001863193],"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":[0.00002984163,0.000007643163,0.001105989,0.0003105749,0.0000256016,0.00000693025,0.00002529228,0.0001069311,0.00001096046,0.0003755141,0.9959012,0.002093561],"study_design_scores_gemma":[0.0001945029,0.00001661369,0.02990578,0.001199227,0.0001006491,0.00003389137,0.0005496757,0.0004865867,0.000183457,0.0007411113,0.966486,0.0001024586],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006407097,0.00008216104,0.00003722117,0.0001881056,0.000051245,0.00002524284,0.9983158,0.00007164395,0.001164481],"genre_scores_gemma":[0.001242919,0.0005570812,0.0007288388,0.0003309141,0.00003412939,0.0002176343,0.9900433,0.0001793386,0.006666025],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09075891,"threshold_uncertainty_score":0.4132718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01930553826295643,"score_gpt":0.2460552763304931,"score_spread":0.2267497380675366,"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."}}