{"id":"W6901440753","doi":"10.6068/dp14ba8712a6e69","title":"Trend 2001 - 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: Georgia, Canadian students, Both sexes, Total, institution type | Units: #, 2001-2011. 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":[0.002624592,0.00247497,0.002968425,0.008534997,0.003487871,0.005227721,0.005534681,0.001663226,0.0865441],"category_scores_gemma":[0.02161744,0.001931771,0.002369642,0.04054402,0.0006735111,0.002672937,0.00249021,0.003388939,0.05340464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04990171,"about_ca_system_score_gemma":0.143487,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9932061,"about_ca_topic_score_gemma":0.9903023,"domain_scores_codex":[0.9951093,0.0003498494,0.0005524359,0.0006182445,0.002257933,0.00111227],"domain_scores_gemma":[0.9606296,0.001525628,0.00120825,0.00124666,0.03354191,0.001847861],"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":[0.00002479005,0.000006129068,0.001049589,0.0002427245,0.00002200393,0.000006082369,0.00002108915,0.0001029506,0.000009021604,0.0003255294,0.9967155,0.001474512],"study_design_scores_gemma":[0.0001781626,0.00001294023,0.02436827,0.001115316,0.00008603703,0.00002883246,0.0004892138,0.0004667581,0.0001845224,0.0007155159,0.9722553,0.00009911608],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004669642,0.00004540961,0.00002378507,0.0001309597,0.00003056369,0.00001444543,0.9989246,0.00005783023,0.0007256882],"genre_scores_gemma":[0.0007160514,0.0002844901,0.0004094204,0.0001846906,0.00002076291,0.000139107,0.9946498,0.0001268324,0.003468822],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0865441,"threshold_uncertainty_score":0.3620639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02601468104188572,"score_gpt":0.2554133097242558,"score_spread":0.2293986286823701,"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."}}