{"id":"W6939091823","doi":"10.6068/dp14ba84aa35d31","title":"Most Recent Data (2004). 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: Samoa, Total, immigration status, Females, University | Units: #, 2004. 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; Population; Statistics education; Citizenship; 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":[0.002913742,0.002500795,0.00289754,0.008629872,0.004242602,0.005604318,0.005617207,0.001730111,0.10134],"category_scores_gemma":[0.02718234,0.001851394,0.002311656,0.04595141,0.000826811,0.00265974,0.002550879,0.003457114,0.06415743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0607577,"about_ca_system_score_gemma":0.1636241,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946802,"about_ca_topic_score_gemma":0.9926824,"domain_scores_codex":[0.9939991,0.0004133419,0.0006854802,0.0006902494,0.002865492,0.001346274],"domain_scores_gemma":[0.9458153,0.002376591,0.001353212,0.001599184,0.04654445,0.002311297],"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":[0.00002003553,0.000006292878,0.0007949877,0.0002029999,0.00001520574,0.00000528466,0.00001868639,0.00008504666,0.000007796914,0.0002450429,0.9974582,0.001140432],"study_design_scores_gemma":[0.0001828138,0.00001156833,0.02271037,0.0009319286,0.00007688367,0.00002260915,0.0005095077,0.0003430238,0.0001612951,0.0006374342,0.9743156,0.00009688246],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003874876,0.00003873506,0.00001685716,0.0001190685,0.00002498151,0.00001197387,0.9989956,0.00004795303,0.0007060525],"genre_scores_gemma":[0.0006882614,0.0002429187,0.0004011944,0.0001836814,0.00001806895,0.0001258512,0.994845,0.0001079656,0.003386916],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.10134,"threshold_uncertainty_score":0.44083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02949783569361856,"score_gpt":0.2434554827361068,"score_spread":0.2139576470424883,"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."}}