{"id":"W6920068494","doi":"10.6068/dp14ba84010a338","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Education, Training and Skills | Country: Canada | Table: Postsecondary graduates, by immigration status, country of citizenship and sex | Variable: Uzbekistan, Canadian students, Both sexes, College | Units: #, 2000-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-089.","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; Census; Citizenship; Statistics education; Population; Socioeconomic status; Ethnic group; Official 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":[0.002501016,0.002545816,0.002992834,0.008792592,0.003816365,0.005499545,0.005691469,0.001708863,0.0879482],"category_scores_gemma":[0.0222019,0.001954291,0.002481816,0.04123368,0.0007120425,0.002802097,0.002593222,0.003413429,0.05420355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05256825,"about_ca_system_score_gemma":0.1494931,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941519,"about_ca_topic_score_gemma":0.9917741,"domain_scores_codex":[0.9951935,0.0003380349,0.0005481067,0.0006262104,0.002164103,0.001130027],"domain_scores_gemma":[0.962425,0.001469319,0.001117888,0.001229773,0.03198551,0.001772479],"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":[0.00002686933,0.000005901501,0.001047458,0.0002448311,0.00002308551,0.000006656265,0.00002223939,0.0001141047,0.000009572908,0.0003746577,0.9965522,0.001572417],"study_design_scores_gemma":[0.0001871477,0.00001291321,0.02164492,0.001104741,0.00008744367,0.00002972798,0.0005161231,0.0005254298,0.0001952508,0.0008216351,0.9747692,0.0001055767],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000459911,0.00004791654,0.00002503461,0.0001381024,0.0000313348,0.00001412065,0.9988895,0.0000628634,0.0007451351],"genre_scores_gemma":[0.0007632048,0.0003015105,0.0004686957,0.0001894235,0.00002077001,0.0001389773,0.9944642,0.0001380522,0.003515094],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0879482,"threshold_uncertainty_score":0.3814112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0201160971402831,"score_gpt":0.2470772673930303,"score_spread":0.2269611702527472,"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."}}